sagemaker

package
v0.24.0 Latest Latest
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 Go to latest Published: Jul 22, 2020 License: Apache-2.0 Imports: 9 Imported by: 45

Documentation

Overview

Package sagemaker provides the client and types for making API requests to SageMaker.

Provides APIs for creating and managing Amazon SageMaker resources.

Other Resources:

See https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24 for more information on this service.

See sagemaker package documentation for more information. https://docs.aws.amazon.com/sdk-for-go/api/service/sagemaker/

Using the Client

To use SageMaker with the SDK use the New function to create a new service client. With that client you can make API requests to the service. These clients are safe to use concurrently.

See the SDK's documentation for more information on how to use the SDK. https://docs.aws.amazon.com/sdk-for-go/api/

See aws.Config documentation for more information on configuring SDK clients. https://docs.aws.amazon.com/sdk-for-go/api/aws/#Config

See the SageMaker client for more information on creating client for this service. https://docs.aws.amazon.com/sdk-for-go/api/service/sagemaker/#New

Index

Constants

View Source 
const (
	ServiceName = "SageMaker"     // Service's name
	ServiceID   = "SageMaker"     // Service's identifier
	EndpointsID = "api.sagemaker" // Service's Endpoint identifier
)
View Source 
const (

	// ErrCodeConflictException for service response error code
	// "ConflictException".
	//
	// There was a conflict when you attempted to modify an experiment, trial, or
	// trial component.
	ErrCodeConflictException = "ConflictException"

	// ErrCodeResourceInUse for service response error code
	// "ResourceInUse".
	//
	// Resource being accessed is in use.
	ErrCodeResourceInUse = "ResourceInUse"

	// ErrCodeResourceLimitExceeded for service response error code
	// "ResourceLimitExceeded".
	//
	// You have exceeded an Amazon SageMaker resource limit. For example, you might
	// have too many training jobs created.
	ErrCodeResourceLimitExceeded = "ResourceLimitExceeded"

	// ErrCodeResourceNotFound for service response error code
	// "ResourceNotFound".
	//
	// Resource being access is not found.
	ErrCodeResourceNotFound = "ResourceNotFound"
)

Variables

This section is empty.

Functions

This section is empty.

Types

type AddTagsInput 

type AddTagsInput struct {

	// The Amazon Resource Name (ARN) of the resource that you want to tag.
	//
	// ResourceArn is a required field
	ResourceArn *string `type:"string" required:"true"`

	// An array of Tag objects. Each tag is a key-value pair. Only the key parameter
	// is required. If you don't specify a value, Amazon SageMaker sets the value
	// to an empty string.
	//
	// Tags is a required field
	Tags []Tag `type:"list" required:"true"`
	// contains filtered or unexported fields
}

func (AddTagsInput) String 

func (s AddTagsInput) String() string

String returns the string representation

func (*AddTagsInput) Validate 

func (s *AddTagsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type AddTagsOutput 

type AddTagsOutput struct {

	// A list of tags associated with the Amazon SageMaker resource.
	Tags []Tag `type:"list"`
	// contains filtered or unexported fields
}

func (AddTagsOutput) String 

func (s AddTagsOutput) String() string

String returns the string representation

type AddTagsRequest 

type AddTagsRequest struct {
	*aws.Request
	Input *AddTagsInput
	Copy  func(*AddTagsInput) AddTagsRequest
}

AddTagsRequest is the request type for the AddTags API operation.

func (AddTagsRequest) Send 

func (r AddTagsRequest) Send(ctx context.Context) (*AddTagsResponse, error)

Send marshals and sends the AddTags API request.

type AddTagsResponse added in v0.9.0 

type AddTagsResponse struct {
	*AddTagsOutput
	// contains filtered or unexported fields
}

AddTagsResponse is the response type for the AddTags API operation.

func (*AddTagsResponse) SDKResponseMetdata added in v0.9.0 

func (r *AddTagsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the AddTags request.

type AlgorithmSortBy added in v0.6.0 

type AlgorithmSortBy string
const (
	AlgorithmSortByName         AlgorithmSortBy = "Name"
	AlgorithmSortByCreationTime AlgorithmSortBy = "CreationTime"
)

Enum values for AlgorithmSortBy

func (AlgorithmSortBy) MarshalValue added in v0.6.0 

func (enum AlgorithmSortBy) MarshalValue() (string, error)

func (AlgorithmSortBy) MarshalValueBuf added in v0.6.0 

func (enum AlgorithmSortBy) MarshalValueBuf(b []byte) ([]byte, error)

type AlgorithmSpecification 

type AlgorithmSpecification struct {

	// The name of the algorithm resource to use for the training job. This must
	// be an algorithm resource that you created or subscribe to on AWS Marketplace.
	// If you specify a value for this parameter, you can't specify a value for
	// TrainingImage.
	AlgorithmName *string `min:"1" type:"string"`

	// To generate and save time-series metrics during training, set to true. The
	// default is false and time-series metrics aren't generated except in the following
	// cases:
	//
	//    * You use one of the Amazon SageMaker built-in algorithms
	//
	//    * You use one of the following Prebuilt Amazon SageMaker Docker Images
	//    (https://docs.aws.amazon.com/sagemaker/latest/dg/pre-built-containers-frameworks-deep-learning.html):
	//    Tensorflow (version >= 1.15) MXNet (version >= 1.6) PyTorch (version >=
	//    1.3)
	//
	//    * You specify at least one MetricDefinition
	EnableSageMakerMetricsTimeSeries *bool `type:"boolean"`

	// A list of metric definition objects. Each object specifies the metric name
	// and regular expressions used to parse algorithm logs. Amazon SageMaker publishes
	// each metric to Amazon CloudWatch.
	MetricDefinitions []MetricDefinition `type:"list"`

	// The registry path of the Docker image that contains the training algorithm.
	// For information about docker registry paths for built-in algorithms, see
	// Algorithms Provided by Amazon SageMaker: Common Parameters (https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-algo-docker-registry-paths.html).
	// Amazon SageMaker supports both registry/repository[:tag] and registry/repository[@digest]
	// image path formats. For more information, see Using Your Own Algorithms with
	// Amazon SageMaker (https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms.html).
	TrainingImage *string `type:"string"`

	// The input mode that the algorithm supports. For the input modes that Amazon
	// SageMaker algorithms support, see Algorithms (https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html).
	// If an algorithm supports the File input mode, Amazon SageMaker downloads
	// the training data from S3 to the provisioned ML storage Volume, and mounts
	// the directory to docker volume for training container. If an algorithm supports
	// the Pipe input mode, Amazon SageMaker streams data directly from S3 to the
	// container.
	//
	// In File mode, make sure you provision ML storage volume with sufficient capacity
	// to accommodate the data download from S3. In addition to the training data,
	// the ML storage volume also stores the output model. The algorithm container
	// use ML storage volume to also store intermediate information, if any.
	//
	// For distributed algorithms using File mode, training data is distributed
	// uniformly, and your training duration is predictable if the input data objects
	// size is approximately same. Amazon SageMaker does not split the files any
	// further for model training. If the object sizes are skewed, training won't
	// be optimal as the data distribution is also skewed where one host in a training
	// cluster is overloaded, thus becoming bottleneck in training.
	//
	// TrainingInputMode is a required field
	TrainingInputMode TrainingInputMode `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Specifies the training algorithm to use in a CreateTrainingJob request.

For more information about algorithms provided by Amazon SageMaker, see Algorithms (https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html). For information about using your own algorithms, see Using Your Own Algorithms with Amazon SageMaker (https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms.html).

func (AlgorithmSpecification) String 

func (s AlgorithmSpecification) String() string

String returns the string representation

func (*AlgorithmSpecification) Validate 

func (s *AlgorithmSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type AlgorithmStatus added in v0.6.0 

type AlgorithmStatus string
const (
	AlgorithmStatusPending    AlgorithmStatus = "Pending"
	AlgorithmStatusInProgress AlgorithmStatus = "InProgress"
	AlgorithmStatusCompleted  AlgorithmStatus = "Completed"
	AlgorithmStatusFailed     AlgorithmStatus = "Failed"
	AlgorithmStatusDeleting   AlgorithmStatus = "Deleting"
)

Enum values for AlgorithmStatus

func (AlgorithmStatus) MarshalValue added in v0.6.0 

func (enum AlgorithmStatus) MarshalValue() (string, error)

func (AlgorithmStatus) MarshalValueBuf added in v0.6.0 

func (enum AlgorithmStatus) MarshalValueBuf(b []byte) ([]byte, error)

type AlgorithmStatusDetails added in v0.6.0 

type AlgorithmStatusDetails struct {

	// The status of the scan of the algorithm's Docker image container.
	ImageScanStatuses []AlgorithmStatusItem `type:"list"`

	// The status of algorithm validation.
	ValidationStatuses []AlgorithmStatusItem `type:"list"`
	// contains filtered or unexported fields
}

Specifies the validation and image scan statuses of the algorithm.

func (AlgorithmStatusDetails) String added in v0.6.0 

func (s AlgorithmStatusDetails) String() string

String returns the string representation

type AlgorithmStatusItem added in v0.6.0 

type AlgorithmStatusItem struct {

	// if the overall status is Failed, the reason for the failure.
	FailureReason *string `type:"string"`

	// The name of the algorithm for which the overall status is being reported.
	//
	// Name is a required field
	Name *string `min:"1" type:"string" required:"true"`

	// The current status.
	//
	// Status is a required field
	Status DetailedAlgorithmStatus `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Represents the overall status of an algorithm.

func (AlgorithmStatusItem) String added in v0.6.0 

func (s AlgorithmStatusItem) String() string

String returns the string representation

type AlgorithmSummary added in v0.6.0 

type AlgorithmSummary struct {

	// The Amazon Resource Name (ARN) of the algorithm.
	//
	// AlgorithmArn is a required field
	AlgorithmArn *string `min:"1" type:"string" required:"true"`

	// A brief description of the algorithm.
	AlgorithmDescription *string `type:"string"`

	// The name of the algorithm that is described by the summary.
	//
	// AlgorithmName is a required field
	AlgorithmName *string `min:"1" type:"string" required:"true"`

	// The overall status of the algorithm.
	//
	// AlgorithmStatus is a required field
	AlgorithmStatus AlgorithmStatus `type:"string" required:"true" enum:"true"`

	// A timestamp that shows when the algorithm was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`
	// contains filtered or unexported fields
}

Provides summary information about an algorithm.

func (AlgorithmSummary) String added in v0.6.0 

func (s AlgorithmSummary) String() string

String returns the string representation

type AlgorithmValidationProfile added in v0.6.0 

type AlgorithmValidationProfile struct {

	// The name of the profile for the algorithm. The name must have 1 to 63 characters.
	// Valid characters are a-z, A-Z, 0-9, and - (hyphen).
	//
	// ProfileName is a required field
	ProfileName *string `min:"1" type:"string" required:"true"`

	// The TrainingJobDefinition object that describes the training job that Amazon
	// SageMaker runs to validate your algorithm.
	//
	// TrainingJobDefinition is a required field
	TrainingJobDefinition *TrainingJobDefinition `type:"structure" required:"true"`

	// The TransformJobDefinition object that describes the transform job that Amazon
	// SageMaker runs to validate your algorithm.
	TransformJobDefinition *TransformJobDefinition `type:"structure"`
	// contains filtered or unexported fields
}

Defines a training job and a batch transform job that Amazon SageMaker runs to validate your algorithm.

The data provided in the validation profile is made available to your buyers on AWS Marketplace.

func (AlgorithmValidationProfile) String added in v0.6.0 

func (s AlgorithmValidationProfile) String() string

String returns the string representation

func (*AlgorithmValidationProfile) Validate added in v0.6.0 

func (s *AlgorithmValidationProfile) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type AlgorithmValidationSpecification added in v0.6.0 

type AlgorithmValidationSpecification struct {

	// An array of AlgorithmValidationProfile objects, each of which specifies a
	// training job and batch transform job that Amazon SageMaker runs to validate
	// your algorithm.
	//
	// ValidationProfiles is a required field
	ValidationProfiles []AlgorithmValidationProfile `min:"1" type:"list" required:"true"`

	// The IAM roles that Amazon SageMaker uses to run the training jobs.
	//
	// ValidationRole is a required field
	ValidationRole *string `min:"20" type:"string" required:"true"`
	// contains filtered or unexported fields
}

Specifies configurations for one or more training jobs that Amazon SageMaker runs to test the algorithm.

func (AlgorithmValidationSpecification) String added in v0.6.0 

func (s AlgorithmValidationSpecification) String() string

String returns the string representation

func (*AlgorithmValidationSpecification) Validate added in v0.6.0 

func (s *AlgorithmValidationSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type AnnotationConsolidationConfig added in v0.6.0 

type AnnotationConsolidationConfig struct {

	// The Amazon Resource Name (ARN) of a Lambda function implements the logic
	// for annotation consolidation (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-annotation-consolidation.html)
	// and to process output data.
	//
	// This parameter is required for all labeling jobs. For built-in task types
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-task-types.html), use
	// one of the following Amazon SageMaker Ground Truth Lambda function ARNs for
	// AnnotationConsolidationLambdaArn. For custom labeling workflows, see Post-annotation
	// Lambda (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-custom-templates-step3.html#sms-custom-templates-step3-postlambda).
	//
	// Bounding box - Finds the most similar boxes from different workers based
	// on the Jaccard index of the boxes.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:ACS-BoundingBox arn:aws:lambda:us-east-2:266458841044:function:ACS-BoundingBox
	//    arn:aws:lambda:us-west-2:081040173940:function:ACS-BoundingBox arn:aws:lambda:eu-west-1:568282634449:function:ACS-BoundingBox
	//    arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-BoundingBox arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-BoundingBox
	//    arn:aws:lambda:ap-south-1:565803892007:function:ACS-BoundingBox arn:aws:lambda:eu-central-1:203001061592:function:ACS-BoundingBox
	//    arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-BoundingBox arn:aws:lambda:eu-west-2:487402164563:function:ACS-BoundingBox
	//    arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-BoundingBox arn:aws:lambda:ca-central-1:918755190332:function:ACS-BoundingBox
	//
	// Image classification - Uses a variant of the Expectation Maximization approach
	// to estimate the true class of an image based on annotations from individual
	// workers.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClass arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClass
	//    arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClass arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClass
	//    arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClass
	//    arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClass
	//    arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClass arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClass
	//    arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClass
	//    arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClass arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClass
	//    arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClass
	//
	// Multi-label image classification - Uses a variant of the Expectation Maximization
	// approach to estimate the true classes of an image based on annotations from
	// individual workers.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClassMultiLabel
	//    arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClassMultiLabel
	//    arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClassMultiLabel
	//    arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClassMultiLabel
	//    arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClassMultiLabel
	//    arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClassMultiLabel
	//    arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClassMultiLabel
	//    arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClassMultiLabel
	//    arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClassMultiLabel
	//    arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClassMultiLabel
	//    arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClassMultiLabel
	//    arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClassMultiLabel
	//
	// Semantic segmentation - Treats each pixel in an image as a multi-class classification
	// and treats pixel annotations from workers as "votes" for the correct label.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:ACS-SemanticSegmentation
	//    arn:aws:lambda:us-east-2:266458841044:function:ACS-SemanticSegmentation
	//    arn:aws:lambda:us-west-2:081040173940:function:ACS-SemanticSegmentation
	//    arn:aws:lambda:eu-west-1:568282634449:function:ACS-SemanticSegmentation
	//    arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-SemanticSegmentation
	//    arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-SemanticSegmentation
	//    arn:aws:lambda:ap-south-1:565803892007:function:ACS-SemanticSegmentation
	//    arn:aws:lambda:eu-central-1:203001061592:function:ACS-SemanticSegmentation
	//    arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-SemanticSegmentation
	//    arn:aws:lambda:eu-west-2:487402164563:function:ACS-SemanticSegmentation
	//    arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-SemanticSegmentation
	//    arn:aws:lambda:ca-central-1:918755190332:function:ACS-SemanticSegmentation
	//
	// Text classification - Uses a variant of the Expectation Maximization approach
	// to estimate the true class of text based on annotations from individual workers.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClass arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClass
	//    arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClass arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClass
	//    arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClass
	//    arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClass
	//    arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClass arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClass
	//    arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClass
	//    arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClass arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClass
	//    arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClass
	//
	// Multi-label text classification - Uses a variant of the Expectation Maximization
	// approach to estimate the true classes of text based on annotations from individual
	// workers.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClassMultiLabel
	//    arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClassMultiLabel
	//    arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClassMultiLabel
	//    arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClassMultiLabel
	//    arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClassMultiLabel
	//    arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClassMultiLabel
	//    arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClassMultiLabel
	//    arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClassMultiLabel
	//    arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClassMultiLabel
	//    arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClassMultiLabel
	//    arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClassMultiLabel
	//    arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClassMultiLabel
	//
	// Named entity recognition - Groups similar selections and calculates aggregate
	// boundaries, resolving to most-assigned label.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:ACS-NamedEntityRecognition
	//    arn:aws:lambda:us-east-2:266458841044:function:ACS-NamedEntityRecognition
	//    arn:aws:lambda:us-west-2:081040173940:function:ACS-NamedEntityRecognition
	//    arn:aws:lambda:eu-west-1:568282634449:function:ACS-NamedEntityRecognition
	//    arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-NamedEntityRecognition
	//    arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-NamedEntityRecognition
	//    arn:aws:lambda:ap-south-1:565803892007:function:ACS-NamedEntityRecognition
	//    arn:aws:lambda:eu-central-1:203001061592:function:ACS-NamedEntityRecognition
	//    arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-NamedEntityRecognition
	//    arn:aws:lambda:eu-west-2:487402164563:function:ACS-NamedEntityRecognition
	//    arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-NamedEntityRecognition
	//    arn:aws:lambda:ca-central-1:918755190332:function:ACS-NamedEntityRecognition
	//
	// 3D point cloud object detection - Use this task type when you want workers
	// to classify objects in a 3D point cloud by drawing 3D cuboids around objects.
	// For example, you can use this task type to ask workers to identify different
	// types of objects in a point cloud, such as cars, bikes, and pedestrians.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectDetection
	//    arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectDetection
	//    arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectDetection
	//    arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectDetection
	//    arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectDetection
	//    arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectDetection
	//    arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectDetection
	//    arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectDetection
	//    arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectDetection
	//    arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectDetection
	//    arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectDetection
	//    arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectDetection
	//
	// 3D point cloud object tracking - Use this task type when you want workers
	// to draw 3D cuboids around objects that appear in a sequence of 3D point cloud
	// frames. For example, you can use this task type to ask workers to track the
	// movement of vehicles across multiple point cloud frames.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectTracking
	//    arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectTracking
	//    arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectTracking
	//    arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectTracking
	//    arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectTracking
	//    arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectTracking
	//    arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectTracking
	//    arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectTracking
	//    arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectTracking
	//    arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectTracking
	//    arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectTracking
	//    arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectTracking
	//
	// 3D point cloud semantic segmentation - Use this task type when you want workers
	// to create a point-level semantic segmentation masks by painting objects in
	// a 3D point cloud using different colors where each color is assigned to one
	// of the classes you specify.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation
	//    arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudSemanticSegmentation
	//    arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudSemanticSegmentation
	//    arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudSemanticSegmentation
	//    arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudSemanticSegmentation
	//    arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudSemanticSegmentation
	//    arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudSemanticSegmentation
	//    arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudSemanticSegmentation
	//    arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudSemanticSegmentation
	//    arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudSemanticSegmentation
	//    arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudSemanticSegmentation
	//    arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudSemanticSegmentation
	//
	// Use the following ARNs for Label Verification and Adjustment Jobs
	//
	// Use label verification and adjustment jobs to review and adjust labels. To
	// learn more, see Verify and Adjust Labels (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-verification-data.html).
	//
	// Semantic segmentation adjustment - Treats each pixel in an image as a multi-class
	// classification and treats pixel adjusted annotations from workers as "votes"
	// for the correct label.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentSemanticSegmentation
	//    arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentSemanticSegmentation
	//    arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentSemanticSegmentation
	//    arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentSemanticSegmentation
	//    arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentSemanticSegmentation
	//    arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentSemanticSegmentation
	//    arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentSemanticSegmentation
	//    arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentSemanticSegmentation
	//    arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentSemanticSegmentation
	//    arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentSemanticSegmentation
	//    arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentSemanticSegmentation
	//    arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentSemanticSegmentation
	//
	// Semantic segmentation verification - Uses a variant of the Expectation Maximization
	// approach to estimate the true class of verification judgment for semantic
	// segmentation labels based on annotations from individual workers.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationSemanticSegmentation
	//    arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationSemanticSegmentation
	//    arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationSemanticSegmentation
	//    arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationSemanticSegmentation
	//    arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationSemanticSegmentation
	//    arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationSemanticSegmentation
	//    arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationSemanticSegmentation
	//    arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationSemanticSegmentation
	//    arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationSemanticSegmentation
	//    arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationSemanticSegmentation
	//    arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationSemanticSegmentation
	//    arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationSemanticSegmentation
	//
	// Bounding box verification - Uses a variant of the Expectation Maximization
	// approach to estimate the true class of verification judgement for bounding
	// box labels based on annotations from individual workers.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationBoundingBox
	//    arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationBoundingBox
	//    arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationBoundingBox
	//    arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationBoundingBox
	//    arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationBoundingBox
	//    arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationBoundingBox
	//    arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationBoundingBox
	//    arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationBoundingBox
	//    arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationBoundingBox
	//    arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationBoundingBox
	//    arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationBoundingBox
	//    arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationBoundingBox
	//
	// Bounding box adjustment - Finds the most similar boxes from different workers
	// based on the Jaccard index of the adjusted annotations.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentBoundingBox
	//    arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentBoundingBox
	//    arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentBoundingBox
	//    arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentBoundingBox
	//    arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentBoundingBox
	//    arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentBoundingBox
	//    arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentBoundingBox
	//    arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentBoundingBox
	//    arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentBoundingBox
	//    arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentBoundingBox
	//    arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentBoundingBox
	//    arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentBoundingBox
	//
	// 3D point cloud object detection adjustment - Use this task type when you
	// want workers to adjust 3D cuboids around objects in a 3D point cloud.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectDetection
	//    arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectDetection
	//    arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectDetection
	//    arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectDetection
	//    arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectDetection
	//    arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectDetection
	//    arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectDetection
	//    arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectDetection
	//    arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectDetection
	//    arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectDetection
	//    arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectDetection
	//    arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectDetection
	//
	// 3D point cloud object tracking adjustment - Use this task type when you want
	// workers to adjust 3D cuboids around objects that appear in a sequence of
	// 3D point cloud frames.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectTracking
	//    arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectTracking
	//    arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectTracking
	//    arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectTracking
	//    arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectTracking
	//    arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectTracking
	//    arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectTracking
	//    arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectTracking
	//    arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectTracking
	//    arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectTracking
	//    arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectTracking
	//    arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectTracking
	//
	// 3D point cloud semantic segmentation adjustment - Use this task type when
	// you want workers to adjust a point-level semantic segmentation masks using
	// a paint tool.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudSemanticSegmentation
	//    arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudSemanticSegmentation
	//    arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudSemanticSegmentation
	//    arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudSemanticSegmentation
	//    arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudSemanticSegmentation
	//    arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudSemanticSegmentation
	//    arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudSemanticSegmentation
	//    arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudSemanticSegmentation
	//    arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudSemanticSegmentation
	//    arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudSemanticSegmentation
	//    arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudSemanticSegmentation
	//    arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudSemanticSegmentation
	//
	// AnnotationConsolidationLambdaArn is a required field
	AnnotationConsolidationLambdaArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Configures how labels are consolidated across human workers and processes output data.

func (AnnotationConsolidationConfig) String added in v0.6.0 

func (s AnnotationConsolidationConfig) String() string

String returns the string representation

func (*AnnotationConsolidationConfig) Validate added in v0.6.0 

func (s *AnnotationConsolidationConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type AppDetails added in v0.18.0 

type AppDetails struct {

	// The name of the app.
	AppName *string `type:"string"`

	// The type of app.
	AppType AppType `type:"string" enum:"true"`

	// The creation time.
	CreationTime *time.Time `type:"timestamp"`

	// The domain ID.
	DomainId *string `type:"string"`

	// The status.
	Status AppStatus `type:"string" enum:"true"`

	// The user profile name.
	UserProfileName *string `type:"string"`
	// contains filtered or unexported fields
}

The app's details.

func (AppDetails) String added in v0.18.0 

func (s AppDetails) String() string

String returns the string representation

type AppInstanceType added in v0.18.0 

type AppInstanceType string
const (
	AppInstanceTypeSystem         AppInstanceType = "system"
	AppInstanceTypeMlT3Micro      AppInstanceType = "ml.t3.micro"
	AppInstanceTypeMlT3Small      AppInstanceType = "ml.t3.small"
	AppInstanceTypeMlT3Medium     AppInstanceType = "ml.t3.medium"
	AppInstanceTypeMlT3Large      AppInstanceType = "ml.t3.large"
	AppInstanceTypeMlT3Xlarge     AppInstanceType = "ml.t3.xlarge"
	AppInstanceTypeMlT32xlarge    AppInstanceType = "ml.t3.2xlarge"
	AppInstanceTypeMlM5Large      AppInstanceType = "ml.m5.large"
	AppInstanceTypeMlM5Xlarge     AppInstanceType = "ml.m5.xlarge"
	AppInstanceTypeMlM52xlarge    AppInstanceType = "ml.m5.2xlarge"
	AppInstanceTypeMlM54xlarge    AppInstanceType = "ml.m5.4xlarge"
	AppInstanceTypeMlM58xlarge    AppInstanceType = "ml.m5.8xlarge"
	AppInstanceTypeMlM512xlarge   AppInstanceType = "ml.m5.12xlarge"
	AppInstanceTypeMlM516xlarge   AppInstanceType = "ml.m5.16xlarge"
	AppInstanceTypeMlM524xlarge   AppInstanceType = "ml.m5.24xlarge"
	AppInstanceTypeMlC5Large      AppInstanceType = "ml.c5.large"
	AppInstanceTypeMlC5Xlarge     AppInstanceType = "ml.c5.xlarge"
	AppInstanceTypeMlC52xlarge    AppInstanceType = "ml.c5.2xlarge"
	AppInstanceTypeMlC54xlarge    AppInstanceType = "ml.c5.4xlarge"
	AppInstanceTypeMlC59xlarge    AppInstanceType = "ml.c5.9xlarge"
	AppInstanceTypeMlC512xlarge   AppInstanceType = "ml.c5.12xlarge"
	AppInstanceTypeMlC518xlarge   AppInstanceType = "ml.c5.18xlarge"
	AppInstanceTypeMlC524xlarge   AppInstanceType = "ml.c5.24xlarge"
	AppInstanceTypeMlP32xlarge    AppInstanceType = "ml.p3.2xlarge"
	AppInstanceTypeMlP38xlarge    AppInstanceType = "ml.p3.8xlarge"
	AppInstanceTypeMlP316xlarge   AppInstanceType = "ml.p3.16xlarge"
	AppInstanceTypeMlG4dnXlarge   AppInstanceType = "ml.g4dn.xlarge"
	AppInstanceTypeMlG4dn2xlarge  AppInstanceType = "ml.g4dn.2xlarge"
	AppInstanceTypeMlG4dn4xlarge  AppInstanceType = "ml.g4dn.4xlarge"
	AppInstanceTypeMlG4dn8xlarge  AppInstanceType = "ml.g4dn.8xlarge"
	AppInstanceTypeMlG4dn12xlarge AppInstanceType = "ml.g4dn.12xlarge"
	AppInstanceTypeMlG4dn16xlarge AppInstanceType = "ml.g4dn.16xlarge"
)

Enum values for AppInstanceType

func (AppInstanceType) MarshalValue added in v0.18.0 

func (enum AppInstanceType) MarshalValue() (string, error)

func (AppInstanceType) MarshalValueBuf added in v0.18.0 

func (enum AppInstanceType) MarshalValueBuf(b []byte) ([]byte, error)

type AppSortKey added in v0.18.0 

type AppSortKey string
const (
	AppSortKeyCreationTime AppSortKey = "CreationTime"
)

Enum values for AppSortKey

func (AppSortKey) MarshalValue added in v0.18.0 

func (enum AppSortKey) MarshalValue() (string, error)

func (AppSortKey) MarshalValueBuf added in v0.18.0 

func (enum AppSortKey) MarshalValueBuf(b []byte) ([]byte, error)

type AppSpecification added in v0.18.0 

type AppSpecification struct {

	// The arguments for a container used to run a processing job.
	ContainerArguments []string `min:"1" type:"list"`

	// The entrypoint for a container used to run a processing job.
	ContainerEntrypoint []string `min:"1" type:"list"`

	// The container image to be run by the processing job.
	//
	// ImageUri is a required field
	ImageUri *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Configuration to run a processing job in a specified container image.

func (AppSpecification) String added in v0.18.0 

func (s AppSpecification) String() string

String returns the string representation

func (*AppSpecification) Validate added in v0.18.0 

func (s *AppSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type AppStatus added in v0.18.0 

type AppStatus string
const (
	AppStatusDeleted   AppStatus = "Deleted"
	AppStatusDeleting  AppStatus = "Deleting"
	AppStatusFailed    AppStatus = "Failed"
	AppStatusInService AppStatus = "InService"
	AppStatusPending   AppStatus = "Pending"
)

Enum values for AppStatus

func (AppStatus) MarshalValue added in v0.18.0 

func (enum AppStatus) MarshalValue() (string, error)

func (AppStatus) MarshalValueBuf added in v0.18.0 

func (enum AppStatus) MarshalValueBuf(b []byte) ([]byte, error)

type AppType added in v0.18.0 

type AppType string
const (
	AppTypeJupyterServer AppType = "JupyterServer"
	AppTypeKernelGateway AppType = "KernelGateway"
	AppTypeTensorBoard   AppType = "TensorBoard"
)

Enum values for AppType

func (AppType) MarshalValue added in v0.18.0 

func (enum AppType) MarshalValue() (string, error)

func (AppType) MarshalValueBuf added in v0.18.0 

func (enum AppType) MarshalValueBuf(b []byte) ([]byte, error)

type AssemblyType added in v0.5.0 

type AssemblyType string
const (
	AssemblyTypeNone AssemblyType = "None"
	AssemblyTypeLine AssemblyType = "Line"
)

Enum values for AssemblyType

func (AssemblyType) MarshalValue added in v0.5.0 

func (enum AssemblyType) MarshalValue() (string, error)

func (AssemblyType) MarshalValueBuf added in v0.5.0 

func (enum AssemblyType) MarshalValueBuf(b []byte) ([]byte, error)

type AssociateTrialComponentInput added in v0.18.0 

type AssociateTrialComponentInput struct {

	// The name of the component to associated with the trial.
	//
	// TrialComponentName is a required field
	TrialComponentName *string `min:"1" type:"string" required:"true"`

	// The name of the trial to associate with.
	//
	// TrialName is a required field
	TrialName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (AssociateTrialComponentInput) String added in v0.18.0 

func (s AssociateTrialComponentInput) String() string

String returns the string representation

func (*AssociateTrialComponentInput) Validate added in v0.18.0 

func (s *AssociateTrialComponentInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type AssociateTrialComponentOutput added in v0.18.0 

type AssociateTrialComponentOutput struct {

	// The Amazon Resource Name (ARN) of the trial.
	TrialArn *string `type:"string"`

	// The ARN of the trial component.
	TrialComponentArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (AssociateTrialComponentOutput) String added in v0.18.0 

func (s AssociateTrialComponentOutput) String() string

String returns the string representation

type AssociateTrialComponentRequest added in v0.18.0 

type AssociateTrialComponentRequest struct {
	*aws.Request
	Input *AssociateTrialComponentInput
	Copy  func(*AssociateTrialComponentInput) AssociateTrialComponentRequest
}

AssociateTrialComponentRequest is the request type for the AssociateTrialComponent API operation.

func (AssociateTrialComponentRequest) Send added in v0.18.0 

func (r AssociateTrialComponentRequest) Send(ctx context.Context) (*AssociateTrialComponentResponse, error)

Send marshals and sends the AssociateTrialComponent API request.

type AssociateTrialComponentResponse added in v0.18.0 

type AssociateTrialComponentResponse struct {
	*AssociateTrialComponentOutput
	// contains filtered or unexported fields
}

AssociateTrialComponentResponse is the response type for the AssociateTrialComponent API operation.

func (*AssociateTrialComponentResponse) SDKResponseMetdata added in v0.18.0 

func (r *AssociateTrialComponentResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the AssociateTrialComponent request.

type AuthMode added in v0.18.0 

type AuthMode string
const (
	AuthModeSso AuthMode = "SSO"
	AuthModeIam AuthMode = "IAM"
)

Enum values for AuthMode

func (AuthMode) MarshalValue added in v0.18.0 

func (enum AuthMode) MarshalValue() (string, error)

func (AuthMode) MarshalValueBuf added in v0.18.0 

func (enum AuthMode) MarshalValueBuf(b []byte) ([]byte, error)

type AutoMLCandidate added in v0.18.0 

type AutoMLCandidate struct {

	// The candidate name.
	//
	// CandidateName is a required field
	CandidateName *string `min:"1" type:"string" required:"true"`

	// The candidate's status.
	//
	// CandidateStatus is a required field
	CandidateStatus CandidateStatus `type:"string" required:"true" enum:"true"`

	// The candidate's steps.
	//
	// CandidateSteps is a required field
	CandidateSteps []AutoMLCandidateStep `type:"list" required:"true"`

	// The creation time.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The end time.
	EndTime *time.Time `type:"timestamp"`

	// The failure reason.
	FailureReason *string `type:"string"`

	// The candidate result from a job.
	FinalAutoMLJobObjectiveMetric *FinalAutoMLJobObjectiveMetric `type:"structure"`

	// The inference containers.
	InferenceContainers []AutoMLContainerDefinition `type:"list"`

	// The last modified time.
	//
	// LastModifiedTime is a required field
	LastModifiedTime *time.Time `type:"timestamp" required:"true"`

	// The objective status.
	//
	// ObjectiveStatus is a required field
	ObjectiveStatus ObjectiveStatus `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

An AutoPilot job will return recommendations, or candidates. Each candidate has futher details about the steps involed, and the status.

func (AutoMLCandidate) String added in v0.18.0 

func (s AutoMLCandidate) String() string

String returns the string representation

type AutoMLCandidateStep added in v0.18.0 

type AutoMLCandidateStep struct {

	// The ARN for the Candidate's step.
	//
	// CandidateStepArn is a required field
	CandidateStepArn *string `min:"1" type:"string" required:"true"`

	// The name for the Candidate's step.
	//
	// CandidateStepName is a required field
	CandidateStepName *string `min:"1" type:"string" required:"true"`

	// Whether the Candidate is at the transform, training, or processing step.
	//
	// CandidateStepType is a required field
	CandidateStepType CandidateStepType `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Information about the steps for a Candidate, and what step it is working on.

func (AutoMLCandidateStep) String added in v0.18.0 

func (s AutoMLCandidateStep) String() string

String returns the string representation

type AutoMLChannel added in v0.18.0 

type AutoMLChannel struct {

	// You can use Gzip or None. The default value is None.
	CompressionType CompressionType `type:"string" enum:"true"`

	// The data source.
	//
	// DataSource is a required field
	DataSource *AutoMLDataSource `type:"structure" required:"true"`

	// The name of the target variable in supervised learning, a.k.a. 'y'.
	//
	// TargetAttributeName is a required field
	TargetAttributeName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

Similar to Channel. A channel is a named input source that training algorithms can consume. Refer to Channel for detailed descriptions.

func (AutoMLChannel) String added in v0.18.0 

func (s AutoMLChannel) String() string

String returns the string representation

func (*AutoMLChannel) Validate added in v0.18.0 

func (s *AutoMLChannel) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type AutoMLContainerDefinition added in v0.18.0 

type AutoMLContainerDefinition struct {

	// Environment variables to set in the container. Refer to ContainerDefinition
	// for more details.
	Environment map[string]string `type:"map"`

	// The ECR path of the container. Refer to ContainerDefinition for more details.
	//
	// Image is a required field
	Image *string `type:"string" required:"true"`

	// The location of the model artifacts. Refer to ContainerDefinition for more
	// details.
	//
	// ModelDataUrl is a required field
	ModelDataUrl *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

A list of container definitions that describe the different containers that make up one AutoML candidate. Refer to ContainerDefinition for more details.

func (AutoMLContainerDefinition) String added in v0.18.0 

func (s AutoMLContainerDefinition) String() string

String returns the string representation

type AutoMLDataSource added in v0.18.0 

type AutoMLDataSource struct {

	// The Amazon S3 location of the input data.
	//
	// The input data must be in CSV format and contain at least 1000 rows.
	//
	// S3DataSource is a required field
	S3DataSource *AutoMLS3DataSource `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

The data source for the AutoPilot job.

func (AutoMLDataSource) String added in v0.18.0 

func (s AutoMLDataSource) String() string

String returns the string representation

func (*AutoMLDataSource) Validate added in v0.18.0 

func (s *AutoMLDataSource) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type AutoMLJobArtifacts added in v0.18.0 

type AutoMLJobArtifacts struct {

	// The URL to the notebook location.
	CandidateDefinitionNotebookLocation *string `min:"1" type:"string"`

	// The URL to the notebook location.
	DataExplorationNotebookLocation *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

Artifacts that are generation during a job.

func (AutoMLJobArtifacts) String added in v0.18.0 

func (s AutoMLJobArtifacts) String() string

String returns the string representation

type AutoMLJobCompletionCriteria added in v0.18.0 

type AutoMLJobCompletionCriteria struct {

	// The maximum time, in seconds, an AutoML job is allowed to wait for a trial
	// to complete. It must be equal to or greater than MaxRuntimePerTrainingJobInSeconds.
	MaxAutoMLJobRuntimeInSeconds *int64 `min:"1" type:"integer"`

	// The maximum number of times a training job is allowed to run.
	MaxCandidates *int64 `min:"1" type:"integer"`

	// The maximum time, in seconds, a job is allowed to run.
	MaxRuntimePerTrainingJobInSeconds *int64 `min:"1" type:"integer"`
	// contains filtered or unexported fields
}

How long a job is allowed to run, or how many candidates a job is allowed to generate.

func (AutoMLJobCompletionCriteria) String added in v0.18.0 

func (s AutoMLJobCompletionCriteria) String() string

String returns the string representation

func (*AutoMLJobCompletionCriteria) Validate added in v0.18.0 

func (s *AutoMLJobCompletionCriteria) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type AutoMLJobConfig added in v0.18.0 

type AutoMLJobConfig struct {

	// How long a job is allowed to run, or how many candidates a job is allowed
	// to generate.
	CompletionCriteria *AutoMLJobCompletionCriteria `type:"structure"`

	// Security configuration for traffic encryption or Amazon VPC settings.
	SecurityConfig *AutoMLSecurityConfig `type:"structure"`
	// contains filtered or unexported fields
}

A collection of settings used for a job.

func (AutoMLJobConfig) String added in v0.18.0 

func (s AutoMLJobConfig) String() string

String returns the string representation

func (*AutoMLJobConfig) Validate added in v0.18.0 

func (s *AutoMLJobConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type AutoMLJobObjective added in v0.18.0 

type AutoMLJobObjective struct {

	// The name of the metric.
	//
	// MetricName is a required field
	MetricName AutoMLMetricEnum `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Applies a metric to minimize or maximize for the job's objective.

func (AutoMLJobObjective) String added in v0.18.0 

func (s AutoMLJobObjective) String() string

String returns the string representation

func (*AutoMLJobObjective) Validate added in v0.18.0 

func (s *AutoMLJobObjective) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type AutoMLJobObjectiveType added in v0.18.0 

type AutoMLJobObjectiveType string
const (
	AutoMLJobObjectiveTypeMaximize AutoMLJobObjectiveType = "Maximize"
	AutoMLJobObjectiveTypeMinimize AutoMLJobObjectiveType = "Minimize"
)

Enum values for AutoMLJobObjectiveType

func (AutoMLJobObjectiveType) MarshalValue added in v0.18.0 

func (enum AutoMLJobObjectiveType) MarshalValue() (string, error)

func (AutoMLJobObjectiveType) MarshalValueBuf added in v0.18.0 

func (enum AutoMLJobObjectiveType) MarshalValueBuf(b []byte) ([]byte, error)

type AutoMLJobSecondaryStatus added in v0.18.0 

type AutoMLJobSecondaryStatus string
const (
	AutoMLJobSecondaryStatusStarting                      AutoMLJobSecondaryStatus = "Starting"
	AutoMLJobSecondaryStatusAnalyzingData                 AutoMLJobSecondaryStatus = "AnalyzingData"
	AutoMLJobSecondaryStatusFeatureEngineering            AutoMLJobSecondaryStatus = "FeatureEngineering"
	AutoMLJobSecondaryStatusModelTuning                   AutoMLJobSecondaryStatus = "ModelTuning"
	AutoMLJobSecondaryStatusMaxCandidatesReached          AutoMLJobSecondaryStatus = "MaxCandidatesReached"
	AutoMLJobSecondaryStatusFailed                        AutoMLJobSecondaryStatus = "Failed"
	AutoMLJobSecondaryStatusStopped                       AutoMLJobSecondaryStatus = "Stopped"
	AutoMLJobSecondaryStatusMaxAutoMljobRuntimeReached    AutoMLJobSecondaryStatus = "MaxAutoMLJobRuntimeReached"
	AutoMLJobSecondaryStatusStopping                      AutoMLJobSecondaryStatus = "Stopping"
	AutoMLJobSecondaryStatusCandidateDefinitionsGenerated AutoMLJobSecondaryStatus = "CandidateDefinitionsGenerated"
)

Enum values for AutoMLJobSecondaryStatus

func (AutoMLJobSecondaryStatus) MarshalValue added in v0.18.0 

func (enum AutoMLJobSecondaryStatus) MarshalValue() (string, error)

func (AutoMLJobSecondaryStatus) MarshalValueBuf added in v0.18.0 

func (enum AutoMLJobSecondaryStatus) MarshalValueBuf(b []byte) ([]byte, error)

type AutoMLJobStatus added in v0.18.0 

type AutoMLJobStatus string
const (
	AutoMLJobStatusCompleted  AutoMLJobStatus = "Completed"
	AutoMLJobStatusInProgress AutoMLJobStatus = "InProgress"
	AutoMLJobStatusFailed     AutoMLJobStatus = "Failed"
	AutoMLJobStatusStopped    AutoMLJobStatus = "Stopped"
	AutoMLJobStatusStopping   AutoMLJobStatus = "Stopping"
)

Enum values for AutoMLJobStatus

func (AutoMLJobStatus) MarshalValue added in v0.18.0 

func (enum AutoMLJobStatus) MarshalValue() (string, error)

func (AutoMLJobStatus) MarshalValueBuf added in v0.18.0 

func (enum AutoMLJobStatus) MarshalValueBuf(b []byte) ([]byte, error)

type AutoMLJobSummary added in v0.18.0 

type AutoMLJobSummary struct {

	// The ARN of the job.
	//
	// AutoMLJobArn is a required field
	AutoMLJobArn *string `min:"1" type:"string" required:"true"`

	// The name of the object you are requesting.
	//
	// AutoMLJobName is a required field
	AutoMLJobName *string `min:"1" type:"string" required:"true"`

	// The job's secondary status.
	//
	// AutoMLJobSecondaryStatus is a required field
	AutoMLJobSecondaryStatus AutoMLJobSecondaryStatus `type:"string" required:"true" enum:"true"`

	// The job's status.
	//
	// AutoMLJobStatus is a required field
	AutoMLJobStatus AutoMLJobStatus `type:"string" required:"true" enum:"true"`

	// When the job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The end time.
	EndTime *time.Time `type:"timestamp"`

	// The failure reason.
	FailureReason *string `type:"string"`

	// When the job was last modified.
	//
	// LastModifiedTime is a required field
	LastModifiedTime *time.Time `type:"timestamp" required:"true"`
	// contains filtered or unexported fields
}

Provides a summary about a job.

func (AutoMLJobSummary) String added in v0.18.0 

func (s AutoMLJobSummary) String() string

String returns the string representation

type AutoMLMetricEnum added in v0.18.0 

type AutoMLMetricEnum string
const (
	AutoMLMetricEnumAccuracy AutoMLMetricEnum = "Accuracy"
	AutoMLMetricEnumMse      AutoMLMetricEnum = "MSE"
	AutoMLMetricEnumF1       AutoMLMetricEnum = "F1"
	AutoMLMetricEnumF1macro  AutoMLMetricEnum = "F1macro"
)

Enum values for AutoMLMetricEnum

func (AutoMLMetricEnum) MarshalValue added in v0.18.0 

func (enum AutoMLMetricEnum) MarshalValue() (string, error)

func (AutoMLMetricEnum) MarshalValueBuf added in v0.18.0 

func (enum AutoMLMetricEnum) MarshalValueBuf(b []byte) ([]byte, error)

type AutoMLOutputDataConfig added in v0.18.0 

type AutoMLOutputDataConfig struct {

	// The AWS KMS encryption key ID.
	KmsKeyId *string `type:"string"`

	// The Amazon S3 output path. Must be 128 characters or less.
	//
	// S3OutputPath is a required field
	S3OutputPath *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

The output data configuration.

func (AutoMLOutputDataConfig) String added in v0.18.0 

func (s AutoMLOutputDataConfig) String() string

String returns the string representation

func (*AutoMLOutputDataConfig) Validate added in v0.18.0 

func (s *AutoMLOutputDataConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type AutoMLS3DataSource added in v0.18.0 

type AutoMLS3DataSource struct {

	// The data type.
	//
	// S3DataType is a required field
	S3DataType AutoMLS3DataType `type:"string" required:"true" enum:"true"`

	// The URL to the Amazon S3 data source.
	//
	// S3Uri is a required field
	S3Uri *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

The Amazon S3 data source.

func (AutoMLS3DataSource) String added in v0.18.0 

func (s AutoMLS3DataSource) String() string

String returns the string representation

func (*AutoMLS3DataSource) Validate added in v0.18.0 

func (s *AutoMLS3DataSource) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type AutoMLS3DataType added in v0.18.0 

type AutoMLS3DataType string
const (
	AutoMLS3DataTypeManifestFile AutoMLS3DataType = "ManifestFile"
	AutoMLS3DataTypeS3prefix     AutoMLS3DataType = "S3Prefix"
)

Enum values for AutoMLS3DataType

func (AutoMLS3DataType) MarshalValue added in v0.18.0 

func (enum AutoMLS3DataType) MarshalValue() (string, error)

func (AutoMLS3DataType) MarshalValueBuf added in v0.18.0 

func (enum AutoMLS3DataType) MarshalValueBuf(b []byte) ([]byte, error)

type AutoMLSecurityConfig added in v0.18.0 

type AutoMLSecurityConfig struct {

	// Whether to use traffic encryption between the container layers.
	EnableInterContainerTrafficEncryption *bool `type:"boolean"`

	// The key used to encrypt stored data.
	VolumeKmsKeyId *string `type:"string"`

	// VPC configuration.
	VpcConfig *VpcConfig `type:"structure"`
	// contains filtered or unexported fields
}

Security options.

func (AutoMLSecurityConfig) String added in v0.18.0 

func (s AutoMLSecurityConfig) String() string

String returns the string representation

func (*AutoMLSecurityConfig) Validate added in v0.18.0 

func (s *AutoMLSecurityConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type AutoMLSortBy added in v0.18.0 

type AutoMLSortBy string
const (
	AutoMLSortByName         AutoMLSortBy = "Name"
	AutoMLSortByCreationTime AutoMLSortBy = "CreationTime"
	AutoMLSortByStatus       AutoMLSortBy = "Status"
)

Enum values for AutoMLSortBy

func (AutoMLSortBy) MarshalValue added in v0.18.0 

func (enum AutoMLSortBy) MarshalValue() (string, error)

func (AutoMLSortBy) MarshalValueBuf added in v0.18.0 

func (enum AutoMLSortBy) MarshalValueBuf(b []byte) ([]byte, error)

type AutoMLSortOrder added in v0.18.0 

type AutoMLSortOrder string
const (
	AutoMLSortOrderAscending  AutoMLSortOrder = "Ascending"
	AutoMLSortOrderDescending AutoMLSortOrder = "Descending"
)

Enum values for AutoMLSortOrder

func (AutoMLSortOrder) MarshalValue added in v0.18.0 

func (enum AutoMLSortOrder) MarshalValue() (string, error)

func (AutoMLSortOrder) MarshalValueBuf added in v0.18.0 

func (enum AutoMLSortOrder) MarshalValueBuf(b []byte) ([]byte, error)

type AwsManagedHumanLoopRequestSource added in v0.18.0 

type AwsManagedHumanLoopRequestSource string
const (
	AwsManagedHumanLoopRequestSourceAwsRekognitionDetectModerationLabelsImageV3 AwsManagedHumanLoopRequestSource = "AWS/Rekognition/DetectModerationLabels/Image/V3"
	AwsManagedHumanLoopRequestSourceAwsTextractAnalyzeDocumentFormsV1           AwsManagedHumanLoopRequestSource = "AWS/Textract/AnalyzeDocument/Forms/V1"
)

Enum values for AwsManagedHumanLoopRequestSource

func (AwsManagedHumanLoopRequestSource) MarshalValue added in v0.18.0 

func (enum AwsManagedHumanLoopRequestSource) MarshalValue() (string, error)

func (AwsManagedHumanLoopRequestSource) MarshalValueBuf added in v0.18.0 

func (enum AwsManagedHumanLoopRequestSource) MarshalValueBuf(b []byte) ([]byte, error)

type BatchStrategy added in v0.5.0 

type BatchStrategy string
const (
	BatchStrategyMultiRecord  BatchStrategy = "MultiRecord"
	BatchStrategySingleRecord BatchStrategy = "SingleRecord"
)

Enum values for BatchStrategy

func (BatchStrategy) MarshalValue added in v0.5.0 

func (enum BatchStrategy) MarshalValue() (string, error)

func (BatchStrategy) MarshalValueBuf added in v0.5.0 

func (enum BatchStrategy) MarshalValueBuf(b []byte) ([]byte, error)

type BooleanOperator added in v0.6.0 

type BooleanOperator string
const (
	BooleanOperatorAnd BooleanOperator = "And"
	BooleanOperatorOr  BooleanOperator = "Or"
)

Enum values for BooleanOperator

func (BooleanOperator) MarshalValue added in v0.6.0 

func (enum BooleanOperator) MarshalValue() (string, error)

func (BooleanOperator) MarshalValueBuf added in v0.6.0 

func (enum BooleanOperator) MarshalValueBuf(b []byte) ([]byte, error)

type CandidateSortBy added in v0.18.0 

type CandidateSortBy string
const (
	CandidateSortByCreationTime              CandidateSortBy = "CreationTime"
	CandidateSortByStatus                    CandidateSortBy = "Status"
	CandidateSortByFinalObjectiveMetricValue CandidateSortBy = "FinalObjectiveMetricValue"
)

Enum values for CandidateSortBy

func (CandidateSortBy) MarshalValue added in v0.18.0 

func (enum CandidateSortBy) MarshalValue() (string, error)

func (CandidateSortBy) MarshalValueBuf added in v0.18.0 

func (enum CandidateSortBy) MarshalValueBuf(b []byte) ([]byte, error)

type CandidateStatus added in v0.18.0 

type CandidateStatus string
const (
	CandidateStatusCompleted  CandidateStatus = "Completed"
	CandidateStatusInProgress CandidateStatus = "InProgress"
	CandidateStatusFailed     CandidateStatus = "Failed"
	CandidateStatusStopped    CandidateStatus = "Stopped"
	CandidateStatusStopping   CandidateStatus = "Stopping"
)

Enum values for CandidateStatus

func (CandidateStatus) MarshalValue added in v0.18.0 

func (enum CandidateStatus) MarshalValue() (string, error)

func (CandidateStatus) MarshalValueBuf added in v0.18.0 

func (enum CandidateStatus) MarshalValueBuf(b []byte) ([]byte, error)

type CandidateStepType added in v0.18.0 

type CandidateStepType string
const (
	CandidateStepTypeAwsSageMakerTrainingJob   CandidateStepType = "AWS::SageMaker::TrainingJob"
	CandidateStepTypeAwsSageMakerTransformJob  CandidateStepType = "AWS::SageMaker::TransformJob"
	CandidateStepTypeAwsSageMakerProcessingJob CandidateStepType = "AWS::SageMaker::ProcessingJob"
)

Enum values for CandidateStepType

func (CandidateStepType) MarshalValue added in v0.18.0 

func (enum CandidateStepType) MarshalValue() (string, error)

func (CandidateStepType) MarshalValueBuf added in v0.18.0 

func (enum CandidateStepType) MarshalValueBuf(b []byte) ([]byte, error)

type CaptureContentTypeHeader added in v0.18.0 

type CaptureContentTypeHeader struct {
	CsvContentTypes []string `min:"1" type:"list"`

	JsonContentTypes []string `min:"1" type:"list"`
	// contains filtered or unexported fields
}

func (CaptureContentTypeHeader) String added in v0.18.0 

func (s CaptureContentTypeHeader) String() string

String returns the string representation

func (*CaptureContentTypeHeader) Validate added in v0.18.0 

func (s *CaptureContentTypeHeader) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CaptureMode added in v0.18.0 

type CaptureMode string
const (
	CaptureModeInput  CaptureMode = "Input"
	CaptureModeOutput CaptureMode = "Output"
)

Enum values for CaptureMode

func (CaptureMode) MarshalValue added in v0.18.0 

func (enum CaptureMode) MarshalValue() (string, error)

func (CaptureMode) MarshalValueBuf added in v0.18.0 

func (enum CaptureMode) MarshalValueBuf(b []byte) ([]byte, error)

type CaptureOption added in v0.18.0 

type CaptureOption struct {

	// CaptureMode is a required field
	CaptureMode CaptureMode `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

func (CaptureOption) String added in v0.18.0 

func (s CaptureOption) String() string

String returns the string representation

func (*CaptureOption) Validate added in v0.18.0 

func (s *CaptureOption) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CaptureStatus added in v0.18.0 

type CaptureStatus string
const (
	CaptureStatusStarted CaptureStatus = "Started"
	CaptureStatusStopped CaptureStatus = "Stopped"
)

Enum values for CaptureStatus

func (CaptureStatus) MarshalValue added in v0.18.0 

func (enum CaptureStatus) MarshalValue() (string, error)

func (CaptureStatus) MarshalValueBuf added in v0.18.0 

func (enum CaptureStatus) MarshalValueBuf(b []byte) ([]byte, error)

type CategoricalParameterRange added in v0.5.0 

type CategoricalParameterRange struct {

	// The name of the categorical hyperparameter to tune.
	//
	// Name is a required field
	Name *string `type:"string" required:"true"`

	// A list of the categories for the hyperparameter.
	//
	// Values is a required field
	Values []string `min:"1" type:"list" required:"true"`
	// contains filtered or unexported fields
}

A list of categorical hyperparameters to tune.

func (CategoricalParameterRange) String added in v0.5.0 

func (s CategoricalParameterRange) String() string

String returns the string representation

func (*CategoricalParameterRange) Validate added in v0.5.0 

func (s *CategoricalParameterRange) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CategoricalParameterRangeSpecification added in v0.6.0 

type CategoricalParameterRangeSpecification struct {

	// The allowed categories for the hyperparameter.
	//
	// Values is a required field
	Values []string `min:"1" type:"list" required:"true"`
	// contains filtered or unexported fields
}

Defines the possible values for a categorical hyperparameter.

func (CategoricalParameterRangeSpecification) String added in v0.6.0 

func (s CategoricalParameterRangeSpecification) String() string

String returns the string representation

func (*CategoricalParameterRangeSpecification) Validate added in v0.6.0 

func (s *CategoricalParameterRangeSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type Channel 

type Channel struct {

	// The name of the channel.
	//
	// ChannelName is a required field
	ChannelName *string `min:"1" type:"string" required:"true"`

	// If training data is compressed, the compression type. The default value is
	// None. CompressionType is used only in Pipe input mode. In File mode, leave
	// this field unset or set it to None.
	CompressionType CompressionType `type:"string" enum:"true"`

	// The MIME type of the data.
	ContentType *string `type:"string"`

	// The location of the channel data.
	//
	// DataSource is a required field
	DataSource *DataSource `type:"structure" required:"true"`

	// (Optional) The input mode to use for the data channel in a training job.
	// If you don't set a value for InputMode, Amazon SageMaker uses the value set
	// for TrainingInputMode. Use this parameter to override the TrainingInputMode
	// setting in a AlgorithmSpecification request when you have a channel that
	// needs a different input mode from the training job's general setting. To
	// download the data from Amazon Simple Storage Service (Amazon S3) to the provisioned
	// ML storage volume, and mount the directory to a Docker volume, use File input
	// mode. To stream data directly from Amazon S3 to the container, choose Pipe
	// input mode.
	//
	// To use a model for incremental training, choose File input model.
	InputMode TrainingInputMode `type:"string" enum:"true"`

	// Specify RecordIO as the value when input data is in raw format but the training
	// algorithm requires the RecordIO format. In this case, Amazon SageMaker wraps
	// each individual S3 object in a RecordIO record. If the input data is already
	// in RecordIO format, you don't need to set this attribute. For more information,
	// see Create a Dataset Using RecordIO (https://mxnet.apache.org/api/architecture/note_data_loading#data-format).
	//
	// In File mode, leave this field unset or set it to None.
	RecordWrapperType RecordWrapper `type:"string" enum:"true"`

	// A configuration for a shuffle option for input data in a channel. If you
	// use S3Prefix for S3DataType, this shuffles the results of the S3 key prefix
	// matches. If you use ManifestFile, the order of the S3 object references in
	// the ManifestFile is shuffled. If you use AugmentedManifestFile, the order
	// of the JSON lines in the AugmentedManifestFile is shuffled. The shuffling
	// order is determined using the Seed value.
	//
	// For Pipe input mode, shuffling is done at the start of every epoch. With
	// large datasets this ensures that the order of the training data is different
	// for each epoch, it helps reduce bias and possible overfitting. In a multi-node
	// training job when ShuffleConfig is combined with S3DataDistributionType of
	// ShardedByS3Key, the data is shuffled across nodes so that the content sent
	// to a particular node on the first epoch might be sent to a different node
	// on the second epoch.
	ShuffleConfig *ShuffleConfig `type:"structure"`
	// contains filtered or unexported fields
}

A channel is a named input source that training algorithms can consume.

func (Channel) String 

func (s Channel) String() string

String returns the string representation

func (*Channel) Validate 

func (s *Channel) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ChannelSpecification added in v0.6.0 

type ChannelSpecification struct {

	// A brief description of the channel.
	Description *string `type:"string"`

	// Indicates whether the channel is required by the algorithm.
	IsRequired *bool `type:"boolean"`

	// The name of the channel.
	//
	// Name is a required field
	Name *string `min:"1" type:"string" required:"true"`

	// The allowed compression types, if data compression is used.
	SupportedCompressionTypes []CompressionType `type:"list"`

	// The supported MIME types for the data.
	//
	// SupportedContentTypes is a required field
	SupportedContentTypes []string `type:"list" required:"true"`

	// The allowed input mode, either FILE or PIPE.
	//
	// In FILE mode, Amazon SageMaker copies the data from the input source onto
	// the local Amazon Elastic Block Store (Amazon EBS) volumes before starting
	// your training algorithm. This is the most commonly used input mode.
	//
	// In PIPE mode, Amazon SageMaker streams input data from the source directly
	// to your algorithm without using the EBS volume.
	//
	// SupportedInputModes is a required field
	SupportedInputModes []TrainingInputMode `min:"1" type:"list" required:"true"`
	// contains filtered or unexported fields
}

Defines a named input source, called a channel, to be used by an algorithm.

func (ChannelSpecification) String added in v0.6.0 

func (s ChannelSpecification) String() string

String returns the string representation

func (*ChannelSpecification) Validate added in v0.6.0 

func (s *ChannelSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CheckpointConfig added in v0.11.0 

type CheckpointConfig struct {

	// (Optional) The local directory where checkpoints are written. The default
	// directory is /opt/ml/checkpoints/.
	LocalPath *string `type:"string"`

	// Identifies the S3 path where you want Amazon SageMaker to store checkpoints.
	// For example, s3://bucket-name/key-name-prefix.
	//
	// S3Uri is a required field
	S3Uri *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Contains information about the output location for managed spot training checkpoint data.

func (CheckpointConfig) String added in v0.11.0 

func (s CheckpointConfig) String() string

String returns the string representation

func (*CheckpointConfig) Validate added in v0.11.0 

func (s *CheckpointConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type Client added in v0.9.0 

type Client struct {
	*aws.Client
}

Client provides the API operation methods for making requests to SageMaker. See this package's package overview docs for details on the service.

The client's methods are safe to use concurrently. It is not safe to modify mutate any of the struct's properties though.

func New 

func New(config aws.Config) *Client

New creates a new instance of the client from the provided Config.

Example: 

// Create a client from just a config.
svc := sagemaker.New(myConfig)

func (*Client) AddTagsRequest added in v0.9.0 

func (c *Client) AddTagsRequest(input *AddTagsInput) AddTagsRequest

AddTagsRequest returns a request value for making API operation for Amazon SageMaker Service.

Adds or overwrites one or more tags for the specified Amazon SageMaker resource. You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints.

Each tag consists of a key and an optional value. Tag keys must be unique per resource. For more information about tags, see For more information, see AWS Tagging Strategies (https://aws.amazon.com/answers/account-management/aws-tagging-strategies/).

Tags that you add to a hyperparameter tuning job by calling this API are also added to any training jobs that the hyperparameter tuning job launches after you call this API, but not to training jobs that the hyperparameter tuning job launched before you called this API. To make sure that the tags associated with a hyperparameter tuning job are also added to all training jobs that the hyperparameter tuning job launches, add the tags when you first create the tuning job by specifying them in the Tags parameter of CreateHyperParameterTuningJob 

// Example sending a request using AddTagsRequest.
req := client.AddTagsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/AddTags

func (*Client) AssociateTrialComponentRequest added in v0.18.0 

func (c *Client) AssociateTrialComponentRequest(input *AssociateTrialComponentInput) AssociateTrialComponentRequest

AssociateTrialComponentRequest returns a request value for making API operation for Amazon SageMaker Service.

Associates a trial component with a trial. A trial component can be associated with multiple trials. To disassociate a trial component from a trial, call the DisassociateTrialComponent API. 

// Example sending a request using AssociateTrialComponentRequest.
req := client.AssociateTrialComponentRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/AssociateTrialComponent

func (*Client) CreateAlgorithmRequest added in v0.9.0 

func (c *Client) CreateAlgorithmRequest(input *CreateAlgorithmInput) CreateAlgorithmRequest

CreateAlgorithmRequest returns a request value for making API operation for Amazon SageMaker Service.

Create a machine learning algorithm that you can use in Amazon SageMaker and list in the AWS Marketplace. 

// Example sending a request using CreateAlgorithmRequest.
req := client.CreateAlgorithmRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateAlgorithm

func (*Client) CreateAppRequest added in v0.18.0 

func (c *Client) CreateAppRequest(input *CreateAppInput) CreateAppRequest

CreateAppRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates a running App for the specified UserProfile. Supported Apps are JupyterServer and KernelGateway. This operation is automatically invoked by Amazon SageMaker Studio upon access to the associated Domain, and when new kernel configurations are selected by the user. A user may have multiple Apps active simultaneously. 

// Example sending a request using CreateAppRequest.
req := client.CreateAppRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateApp

func (*Client) CreateAutoMLJobRequest added in v0.18.0 

func (c *Client) CreateAutoMLJobRequest(input *CreateAutoMLJobInput) CreateAutoMLJobRequest

CreateAutoMLJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates an AutoPilot job.

After you run an AutoPilot job, you can find the best performing model by calling , and then deploy that model by following the steps described in Step 6.1: Deploy the Model to Amazon SageMaker Hosting Services (https://docs.aws.amazon.com/sagemaker/latest/dg/ex1-deploy-model.html).

For information about how to use AutoPilot, see Use AutoPilot to Automate Model Development (https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development.html). 

// Example sending a request using CreateAutoMLJobRequest.
req := client.CreateAutoMLJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateAutoMLJob

func (*Client) CreateCodeRepositoryRequest added in v0.9.0 

func (c *Client) CreateCodeRepositoryRequest(input *CreateCodeRepositoryInput) CreateCodeRepositoryRequest

CreateCodeRepositoryRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates a Git repository as a resource in your Amazon SageMaker account. You can associate the repository with notebook instances so that you can use Git source control for the notebooks you create. The Git repository is a resource in your Amazon SageMaker account, so it can be associated with more than one notebook instance, and it persists independently from the lifecycle of any notebook instances it is associated with.

The repository can be hosted either in AWS CodeCommit (https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html) or in any other Git repository. 

// Example sending a request using CreateCodeRepositoryRequest.
req := client.CreateCodeRepositoryRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateCodeRepository

func (*Client) CreateCompilationJobRequest added in v0.9.0 

func (c *Client) CreateCompilationJobRequest(input *CreateCompilationJobInput) CreateCompilationJobRequest

CreateCompilationJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Starts a model compilation job. After the model has been compiled, Amazon SageMaker saves the resulting model artifacts to an Amazon Simple Storage Service (Amazon S3) bucket that you specify.

If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts with AWS IoT Greengrass. In that case, deploy them as an ML resource.

In the request body, you provide the following:

  • A name for the compilation job

  • Information about the input model artifacts

  • The output location for the compiled model and the device (target) that the model runs on

  • The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker assumes to perform the model compilation job

You can also provide a Tag to track the model compilation job's resource use and costs. The response body contains the CompilationJobArn for the compiled job.

To stop a model compilation job, use StopCompilationJob. To get information about a particular model compilation job, use DescribeCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs. 

// Example sending a request using CreateCompilationJobRequest.
req := client.CreateCompilationJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateCompilationJob

func (*Client) CreateDomainRequest added in v0.18.0 

func (c *Client) CreateDomainRequest(input *CreateDomainInput) CreateDomainRequest

CreateDomainRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates a Domain used by SageMaker Studio. A domain consists of an associated directory, a list of authorized users, and a variety of security, application, policy, and Amazon Virtual Private Cloud (VPC) configurations. An AWS account is limited to one domain per region. Users within a domain can share notebook files and other artifacts with each other.

When a domain is created, an Amazon Elastic File System (EFS) volume is also created for use by all of the users within the domain. Each user receives a private home directory within the EFS for notebooks, Git repositories, and data files.

All traffic between the domain and the EFS volume is communicated through the specified subnet IDs. All other traffic goes over the Internet through an Amazon SageMaker system VPC. The EFS traffic uses the NFS/TCP protocol over port 2049.

NFS traffic over TCP on port 2049 needs to be allowed in both inbound and outbound rules in order to launch a SageMaker Studio app successfully. 

// Example sending a request using CreateDomainRequest.
req := client.CreateDomainRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateDomain

func (*Client) CreateEndpointConfigRequest added in v0.9.0 

func (c *Client) CreateEndpointConfigRequest(input *CreateEndpointConfigInput) CreateEndpointConfigRequest

CreateEndpointConfigRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates an endpoint configuration that Amazon SageMaker hosting services uses to deploy models. In the configuration, you identify one or more models, created using the CreateModel API, to deploy and the resources that you want Amazon SageMaker to provision. Then you call the CreateEndpoint API.

Use this API if you want to use Amazon SageMaker hosting services to deploy models into production.

In the request, you define a ProductionVariant, for each model that you want to deploy. Each ProductionVariant parameter also describes the resources that you want Amazon SageMaker to provision. This includes the number and type of ML compute instances to deploy.

If you are hosting multiple models, you also assign a VariantWeight to specify how much traffic you want to allocate to each model. For example, suppose that you want to host two models, A and B, and you assign traffic weight 2 for model A and 1 for model B. Amazon SageMaker distributes two-thirds of the traffic to Model A, and one-third to model B.

For an example that calls this method when deploying a model to Amazon SageMaker hosting services, see Deploy the Model to Amazon SageMaker Hosting Services (AWS SDK for Python (Boto 3)). (https://docs.aws.amazon.com/sagemaker/latest/dg/ex1-deploy-model.html#ex1-deploy-model-boto)

When you call CreateEndpoint, a load call is made to DynamoDB to verify that your endpoint configuration exists. When you read data from a DynamoDB table supporting Eventually Consistent Reads (https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.ReadConsistency.html), the response might not reflect the results of a recently completed write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB, this causes a validation error. If you repeat your read request after a short time, the response should return the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers call DescribeEndpointConfig before calling CreateEndpoint to minimize the potential impact of a DynamoDB eventually consistent read. 

// Example sending a request using CreateEndpointConfigRequest.
req := client.CreateEndpointConfigRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateEndpointConfig

func (*Client) CreateEndpointRequest added in v0.9.0 

func (c *Client) CreateEndpointRequest(input *CreateEndpointInput) CreateEndpointRequest

CreateEndpointRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates an endpoint using the endpoint configuration specified in the request. Amazon SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint configuration with the CreateEndpointConfig API.

Use this API to deploy models using Amazon SageMaker hosting services.

For an example that calls this method when deploying a model to Amazon SageMaker hosting services, see Deploy the Model to Amazon SageMaker Hosting Services (AWS SDK for Python (Boto 3)). (https://docs.aws.amazon.com/sagemaker/latest/dg/ex1-deploy-model.html#ex1-deploy-model-boto)

You must not delete an EndpointConfig that is in use by an endpoint that is live or while the UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To update an endpoint, you must create a new EndpointConfig.

The endpoint name must be unique within an AWS Region in your AWS account.

When it receives the request, Amazon SageMaker creates the endpoint, launches the resources (ML compute instances), and deploys the model(s) on them.

When you call CreateEndpoint, a load call is made to DynamoDB to verify that your endpoint configuration exists. When you read data from a DynamoDB table supporting Eventually Consistent Reads (https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.ReadConsistency.html), the response might not reflect the results of a recently completed write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB, this causes a validation error. If you repeat your read request after a short time, the response should return the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers call DescribeEndpointConfig before calling CreateEndpoint to minimize the potential impact of a DynamoDB eventually consistent read.

When Amazon SageMaker receives the request, it sets the endpoint status to Creating. After it creates the endpoint, it sets the status to InService. Amazon SageMaker can then process incoming requests for inferences. To check the status of an endpoint, use the DescribeEndpoint API.

If any of the models hosted at this endpoint get model data from an Amazon S3 location, Amazon SageMaker uses AWS Security Token Service to download model artifacts from the S3 path you provided. AWS STS is activated in your IAM user account by default. If you previously deactivated AWS STS for a region, you need to reactivate AWS STS for that region. For more information, see Activating and Deactivating AWS STS in an AWS Region (https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_temp_enable-regions.html) in the AWS Identity and Access Management User Guide. 

// Example sending a request using CreateEndpointRequest.
req := client.CreateEndpointRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateEndpoint

func (*Client) CreateExperimentRequest added in v0.18.0 

func (c *Client) CreateExperimentRequest(input *CreateExperimentInput) CreateExperimentRequest

CreateExperimentRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates an Amazon SageMaker experiment. An experiment is a collection of trials that are observed, compared and evaluated as a group. A trial is a set of steps, called trial components, that produce a machine learning model.

The goal of an experiment is to determine the components that produce the best model. Multiple trials are performed, each one isolating and measuring the impact of a change to one or more inputs, while keeping the remaining inputs constant.

When you use Amazon SageMaker Studio or the Amazon SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the AWS SDK for Python (Boto), you must use the logging APIs provided by the SDK.

You can add tags to experiments, trials, trial components and then use the Search API to search for the tags.

To add a description to an experiment, specify the optional Description parameter. To add a description later, or to change the description, call the UpdateExperiment API.

To get a list of all your experiments, call the ListExperiments API. To view an experiment's properties, call the DescribeExperiment API. To get a list of all the trials associated with an experiment, call the ListTrials API. To create a trial call the CreateTrial API. 

// Example sending a request using CreateExperimentRequest.
req := client.CreateExperimentRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateExperiment

func (*Client) CreateFlowDefinitionRequest added in v0.18.0 

func (c *Client) CreateFlowDefinitionRequest(input *CreateFlowDefinitionInput) CreateFlowDefinitionRequest

CreateFlowDefinitionRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates a flow definition. 

// Example sending a request using CreateFlowDefinitionRequest.
req := client.CreateFlowDefinitionRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateFlowDefinition

func (*Client) CreateHumanTaskUiRequest added in v0.18.0 

func (c *Client) CreateHumanTaskUiRequest(input *CreateHumanTaskUiInput) CreateHumanTaskUiRequest

CreateHumanTaskUiRequest returns a request value for making API operation for Amazon SageMaker Service.

Defines the settings you will use for the human review workflow user interface. Reviewers will see a three-panel interface with an instruction area, the item to review, and an input area. 

// Example sending a request using CreateHumanTaskUiRequest.
req := client.CreateHumanTaskUiRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateHumanTaskUi

func (*Client) CreateHyperParameterTuningJobRequest added in v0.9.0 

func (c *Client) CreateHyperParameterTuningJobRequest(input *CreateHyperParameterTuningJobInput) CreateHyperParameterTuningJobRequest

CreateHyperParameterTuningJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Starts a hyperparameter tuning job. A hyperparameter tuning job finds the best version of a model by running many training jobs on your dataset using the algorithm you choose and values for hyperparameters within ranges that you specify. It then chooses the hyperparameter values that result in a model that performs the best, as measured by an objective metric that you choose. 

// Example sending a request using CreateHyperParameterTuningJobRequest.
req := client.CreateHyperParameterTuningJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateHyperParameterTuningJob

func (*Client) CreateLabelingJobRequest added in v0.9.0 

func (c *Client) CreateLabelingJobRequest(input *CreateLabelingJobInput) CreateLabelingJobRequest

CreateLabelingJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates a job that uses workers to label the data objects in your input dataset. You can use the labeled data to train machine learning models.

You can select your workforce from one of three providers:

  • A private workforce that you create. It can include employees, contractors, and outside experts. Use a private workforce when want the data to stay within your organization or when a specific set of skills is required.

  • One or more vendors that you select from the AWS Marketplace. Vendors provide expertise in specific areas.

  • The Amazon Mechanical Turk workforce. This is the largest workforce, but it should only be used for public data or data that has been stripped of any personally identifiable information.

You can also use automated data labeling to reduce the number of data objects that need to be labeled by a human. Automated data labeling uses active learning to determine if a data object can be labeled by machine or if it needs to be sent to a human worker. For more information, see Using Automated Data Labeling (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-automated-labeling.html).

The data objects to be labeled are contained in an Amazon S3 bucket. You create a manifest file that describes the location of each object. For more information, see Using Input and Output Data (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-data.html).

The output can be used as the manifest file for another labeling job or as training data for your machine learning models. 

// Example sending a request using CreateLabelingJobRequest.
req := client.CreateLabelingJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateLabelingJob

func (*Client) CreateModelPackageRequest added in v0.9.0 

func (c *Client) CreateModelPackageRequest(input *CreateModelPackageInput) CreateModelPackageRequest

CreateModelPackageRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates a model package that you can use to create Amazon SageMaker models or list on AWS Marketplace. Buyers can subscribe to model packages listed on AWS Marketplace to create models in Amazon SageMaker.

To create a model package by specifying a Docker container that contains your inference code and the Amazon S3 location of your model artifacts, provide values for InferenceSpecification. To create a model from an algorithm resource that you created or subscribed to in AWS Marketplace, provide a value for SourceAlgorithmSpecification. 

// Example sending a request using CreateModelPackageRequest.
req := client.CreateModelPackageRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateModelPackage

func (*Client) CreateModelRequest added in v0.9.0 

func (c *Client) CreateModelRequest(input *CreateModelInput) CreateModelRequest

CreateModelRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates a model in Amazon SageMaker. In the request, you name the model and describe a primary container. For the primary container, you specify the Docker image that contains inference code, artifacts (from prior training), and a custom environment map that the inference code uses when you deploy the model for predictions.

Use this API to create a model if you want to use Amazon SageMaker hosting services or run a batch transform job.

To host your model, you create an endpoint configuration with the CreateEndpointConfig API, and then create an endpoint with the CreateEndpoint API. Amazon SageMaker then deploys all of the containers that you defined for the model in the hosting environment.

For an example that calls this method when deploying a model to Amazon SageMaker hosting services, see Deploy the Model to Amazon SageMaker Hosting Services (AWS SDK for Python (Boto 3)). (https://docs.aws.amazon.com/sagemaker/latest/dg/ex1-deploy-model.html#ex1-deploy-model-boto)

To run a batch transform using your model, you start a job with the CreateTransformJob API. Amazon SageMaker uses your model and your dataset to get inferences which are then saved to a specified S3 location.

In the CreateModel request, you must define a container with the PrimaryContainer parameter.

In the request, you also provide an IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute hosting instances or for batch transform jobs. In addition, you also use the IAM role to manage permissions the inference code needs. For example, if the inference code access any other AWS resources, you grant necessary permissions via this role. 

// Example sending a request using CreateModelRequest.
req := client.CreateModelRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateModel

func (*Client) CreateMonitoringScheduleRequest added in v0.18.0 

func (c *Client) CreateMonitoringScheduleRequest(input *CreateMonitoringScheduleInput) CreateMonitoringScheduleRequest

CreateMonitoringScheduleRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates a schedule that regularly starts Amazon SageMaker Processing Jobs to monitor the data captured for an Amazon SageMaker Endoint. 

// Example sending a request using CreateMonitoringScheduleRequest.
req := client.CreateMonitoringScheduleRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateMonitoringSchedule

func (*Client) CreateNotebookInstanceLifecycleConfigRequest added in v0.9.0 

func (c *Client) CreateNotebookInstanceLifecycleConfigRequest(input *CreateNotebookInstanceLifecycleConfigInput) CreateNotebookInstanceLifecycleConfigRequest

CreateNotebookInstanceLifecycleConfigRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates a lifecycle configuration that you can associate with a notebook instance. A lifecycle configuration is a collection of shell scripts that run when you create or start a notebook instance.

Each lifecycle configuration script has a limit of 16384 characters.

The value of the $PATH environment variable that is available to both scripts is /sbin:bin:/usr/sbin:/usr/bin.

View CloudWatch Logs for notebook instance lifecycle configurations in log group /aws/sagemaker/NotebookInstances in log stream [notebook-instance-name]/[LifecycleConfigHook].

Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.

For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance (https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html). 

// Example sending a request using CreateNotebookInstanceLifecycleConfigRequest.
req := client.CreateNotebookInstanceLifecycleConfigRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateNotebookInstanceLifecycleConfig

func (*Client) CreateNotebookInstanceRequest added in v0.9.0 

func (c *Client) CreateNotebookInstanceRequest(input *CreateNotebookInstanceInput) CreateNotebookInstanceRequest

CreateNotebookInstanceRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates an Amazon SageMaker notebook instance. A notebook instance is a machine learning (ML) compute instance running on a Jupyter notebook.

In a CreateNotebookInstance request, specify the type of ML compute instance that you want to run. Amazon SageMaker launches the instance, installs common libraries that you can use to explore datasets for model training, and attaches an ML storage volume to the notebook instance.

Amazon SageMaker also provides a set of example notebooks. Each notebook demonstrates how to use Amazon SageMaker with a specific algorithm or with a machine learning framework.

After receiving the request, Amazon SageMaker does the following:

Creates a network interface in the Amazon SageMaker VPC.

(Option) If you specified SubnetId, Amazon SageMaker creates a network interface in your own VPC, which is inferred from the subnet ID that you provide in the input. When creating this network interface, Amazon SageMaker attaches the security group that you specified in the request to the network interface that it creates in your VPC.

Launches an EC2 instance of the type specified in the request in the Amazon SageMaker VPC. If you specified SubnetId of your VPC, Amazon SageMaker specifies both network interfaces when launching this instance. This enables inbound traffic from your own VPC to the notebook instance, assuming that the security groups allow it.

After creating the notebook instance, Amazon SageMaker returns its Amazon Resource Name (ARN). You can't change the name of a notebook instance after you create it.

After Amazon SageMaker creates the notebook instance, you can connect to the Jupyter server and work in Jupyter notebooks. For example, you can write code to explore a dataset that you can use for model training, train a model, host models by creating Amazon SageMaker endpoints, and validate hosted models.

For more information, see How It Works (https://docs.aws.amazon.com/sagemaker/latest/dg/how-it-works.html). 

// Example sending a request using CreateNotebookInstanceRequest.
req := client.CreateNotebookInstanceRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateNotebookInstance

func (*Client) CreatePresignedDomainUrlRequest added in v0.18.0 

func (c *Client) CreatePresignedDomainUrlRequest(input *CreatePresignedDomainUrlInput) CreatePresignedDomainUrlRequest

CreatePresignedDomainUrlRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates a URL for a specified UserProfile in a Domain. When accessed in a web browser, the user will be automatically signed in to Amazon SageMaker Studio, and granted access to all of the Apps and files associated with the Domain's Amazon Elastic File System (EFS) volume. This operation can only be called when the authentication mode equals IAM. 

// Example sending a request using CreatePresignedDomainUrlRequest.
req := client.CreatePresignedDomainUrlRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreatePresignedDomainUrl

func (*Client) CreatePresignedNotebookInstanceUrlRequest added in v0.9.0 

func (c *Client) CreatePresignedNotebookInstanceUrlRequest(input *CreatePresignedNotebookInstanceUrlInput) CreatePresignedNotebookInstanceUrlRequest

CreatePresignedNotebookInstanceUrlRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns a URL that you can use to connect to the Jupyter server from a notebook instance. In the Amazon SageMaker console, when you choose Open next to a notebook instance, Amazon SageMaker opens a new tab showing the Jupyter server home page from the notebook instance. The console uses this API to get the URL and show the page.

The IAM role or user used to call this API defines the permissions to access the notebook instance. Once the presigned URL is created, no additional permission is required to access this URL. IAM authorization policies for this API are also enforced for every HTTP request and WebSocket frame that attempts to connect to the notebook instance.

You can restrict access to this API and to the URL that it returns to a list of IP addresses that you specify. Use the NotIpAddress condition operator and the aws:SourceIP condition context key to specify the list of IP addresses that you want to have access to the notebook instance. For more information, see Limit Access to a Notebook Instance by IP Address (https://docs.aws.amazon.com/sagemaker/latest/dg/security_iam_id-based-policy-examples.html#nbi-ip-filter).

The URL that you get from a call to CreatePresignedNotebookInstanceUrl is valid only for 5 minutes. If you try to use the URL after the 5-minute limit expires, you are directed to the AWS console sign-in page. 

// Example sending a request using CreatePresignedNotebookInstanceUrlRequest.
req := client.CreatePresignedNotebookInstanceUrlRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreatePresignedNotebookInstanceUrl

func (*Client) CreateProcessingJobRequest added in v0.18.0 

func (c *Client) CreateProcessingJobRequest(input *CreateProcessingJobInput) CreateProcessingJobRequest

CreateProcessingJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates a processing job. 

// Example sending a request using CreateProcessingJobRequest.
req := client.CreateProcessingJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateProcessingJob

func (*Client) CreateTrainingJobRequest added in v0.9.0 

func (c *Client) CreateTrainingJobRequest(input *CreateTrainingJobInput) CreateTrainingJobRequest

CreateTrainingJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Starts a model training job. After training completes, Amazon SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify.

If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than Amazon SageMaker, provided that you know how to use them for inferences.

In the request body, you provide the following:

  • AlgorithmSpecification - Identifies the training algorithm to use.

  • HyperParameters - Specify these algorithm-specific parameters to enable the estimation of model parameters during training. Hyperparameters can be tuned to optimize this learning process. For a list of hyperparameters for each training algorithm provided by Amazon SageMaker, see Algorithms (https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html).

  • InputDataConfig - Describes the training dataset and the Amazon S3, EFS, or FSx location where it is stored.

  • OutputDataConfig - Identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of model training.

  • ResourceConfig - Identifies the resources, ML compute instances, and ML storage volumes to deploy for model training. In distributed training, you specify more than one instance.

  • EnableManagedSpotTraining - Optimize the cost of training machine learning models by up to 80% by using Amazon EC2 Spot instances. For more information, see Managed Spot Training (https://docs.aws.amazon.com/sagemaker/latest/dg/model-managed-spot-training.html).

  • RoleARN - The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during model training. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete model training.

  • StoppingCondition - To help cap training costs, use MaxRuntimeInSeconds to set a time limit for training. Use MaxWaitTimeInSeconds to specify how long you are willing to wait for a managed spot training job to complete.

For more information about Amazon SageMaker, see How It Works (https://docs.aws.amazon.com/sagemaker/latest/dg/how-it-works.html). 

// Example sending a request using CreateTrainingJobRequest.
req := client.CreateTrainingJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateTrainingJob

func (*Client) CreateTransformJobRequest added in v0.9.0 

func (c *Client) CreateTransformJobRequest(input *CreateTransformJobInput) CreateTransformJobRequest

CreateTransformJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Starts a transform job. A transform job uses a trained model to get inferences on a dataset and saves these results to an Amazon S3 location that you specify.

To perform batch transformations, you create a transform job and use the data that you have readily available.

In the request body, you provide the following:

  • TransformJobName - Identifies the transform job. The name must be unique within an AWS Region in an AWS account.

  • ModelName - Identifies the model to use. ModelName must be the name of an existing Amazon SageMaker model in the same AWS Region and AWS account. For information on creating a model, see CreateModel.

  • TransformInput - Describes the dataset to be transformed and the Amazon S3 location where it is stored.

  • TransformOutput - Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.

  • TransformResources - Identifies the ML compute instances for the transform job.

For more information about how batch transformation works, see Batch Transform (https://docs.aws.amazon.com/sagemaker/latest/dg/batch-transform.html). 

// Example sending a request using CreateTransformJobRequest.
req := client.CreateTransformJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateTransformJob

func (*Client) CreateTrialComponentRequest added in v0.18.0 

func (c *Client) CreateTrialComponentRequest(input *CreateTrialComponentInput) CreateTrialComponentRequest

CreateTrialComponentRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates a trial component, which is a stage of a machine learning trial. A trial is composed of one or more trial components. A trial component can be used in multiple trials.

Trial components include pre-processing jobs, training jobs, and batch transform jobs.

When you use Amazon SageMaker Studio or the Amazon SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the AWS SDK for Python (Boto), you must use the logging APIs provided by the SDK.

You can add tags to a trial component and then use the Search API to search for the tags.

CreateTrialComponent can only be invoked from within an Amazon SageMaker managed environment. This includes Amazon SageMaker training jobs, processing jobs, transform jobs, and Amazon SageMaker notebooks. A call to CreateTrialComponent from outside one of these environments results in an error. 

// Example sending a request using CreateTrialComponentRequest.
req := client.CreateTrialComponentRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateTrialComponent

func (*Client) CreateTrialRequest added in v0.18.0 

func (c *Client) CreateTrialRequest(input *CreateTrialInput) CreateTrialRequest

CreateTrialRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates an Amazon SageMaker trial. A trial is a set of steps called trial components that produce a machine learning model. A trial is part of a single Amazon SageMaker experiment.

When you use Amazon SageMaker Studio or the Amazon SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the AWS SDK for Python (Boto), you must use the logging APIs provided by the SDK.

You can add tags to a trial and then use the Search API to search for the tags.

To get a list of all your trials, call the ListTrials API. To view a trial's properties, call the DescribeTrial API. To create a trial component, call the CreateTrialComponent API. 

// Example sending a request using CreateTrialRequest.
req := client.CreateTrialRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateTrial

func (*Client) CreateUserProfileRequest added in v0.18.0 

func (c *Client) CreateUserProfileRequest(input *CreateUserProfileInput) CreateUserProfileRequest

CreateUserProfileRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates a user profile. A user profile represents a single user within a domain, and is the main way to reference a "person" for the purposes of sharing, reporting, and other user-oriented features. This entity is created when a user onboards to Amazon SageMaker Studio. If an administrator invites a person by email or imports them from SSO, a user profile is automatically created. A user profile is the primary holder of settings for an individual user and has a reference to the user's private Amazon Elastic File System (EFS) home directory. 

// Example sending a request using CreateUserProfileRequest.
req := client.CreateUserProfileRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateUserProfile

func (*Client) CreateWorkteamRequest added in v0.9.0 

func (c *Client) CreateWorkteamRequest(input *CreateWorkteamInput) CreateWorkteamRequest

CreateWorkteamRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates a new work team for labeling your data. A work team is defined by one or more Amazon Cognito user pools. You must first create the user pools before you can create a work team.

You cannot create more than 25 work teams in an account and region. 

// Example sending a request using CreateWorkteamRequest.
req := client.CreateWorkteamRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateWorkteam

func (*Client) DeleteAlgorithmRequest added in v0.9.0 

func (c *Client) DeleteAlgorithmRequest(input *DeleteAlgorithmInput) DeleteAlgorithmRequest

DeleteAlgorithmRequest returns a request value for making API operation for Amazon SageMaker Service.

Removes the specified algorithm from your account. 

// Example sending a request using DeleteAlgorithmRequest.
req := client.DeleteAlgorithmRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteAlgorithm

func (*Client) DeleteAppRequest added in v0.18.0 

func (c *Client) DeleteAppRequest(input *DeleteAppInput) DeleteAppRequest

DeleteAppRequest returns a request value for making API operation for Amazon SageMaker Service.

Used to stop and delete an app. 

// Example sending a request using DeleteAppRequest.
req := client.DeleteAppRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteApp

func (*Client) DeleteCodeRepositoryRequest added in v0.9.0 

func (c *Client) DeleteCodeRepositoryRequest(input *DeleteCodeRepositoryInput) DeleteCodeRepositoryRequest

DeleteCodeRepositoryRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes the specified Git repository from your account. 

// Example sending a request using DeleteCodeRepositoryRequest.
req := client.DeleteCodeRepositoryRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteCodeRepository

func (*Client) DeleteDomainRequest added in v0.18.0 

func (c *Client) DeleteDomainRequest(input *DeleteDomainInput) DeleteDomainRequest

DeleteDomainRequest returns a request value for making API operation for Amazon SageMaker Service.

Used to delete a domain. If you onboarded with IAM mode, you will need to delete your domain to onboard again using SSO. Use with caution. All of the members of the domain will lose access to their EFS volume, including data, notebooks, and other artifacts. 

// Example sending a request using DeleteDomainRequest.
req := client.DeleteDomainRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteDomain

func (*Client) DeleteEndpointConfigRequest added in v0.9.0 

func (c *Client) DeleteEndpointConfigRequest(input *DeleteEndpointConfigInput) DeleteEndpointConfigRequest

DeleteEndpointConfigRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes an endpoint configuration. The DeleteEndpointConfig API deletes only the specified configuration. It does not delete endpoints created using the configuration.

You must not delete an EndpointConfig in use by an endpoint that is live or while the UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. If you delete the EndpointConfig of an endpoint that is active or being created or updated you may lose visibility into the instance type the endpoint is using. The endpoint must be deleted in order to stop incurring charges. 

// Example sending a request using DeleteEndpointConfigRequest.
req := client.DeleteEndpointConfigRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteEndpointConfig

func (*Client) DeleteEndpointRequest added in v0.9.0 

func (c *Client) DeleteEndpointRequest(input *DeleteEndpointInput) DeleteEndpointRequest

DeleteEndpointRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes an endpoint. Amazon SageMaker frees up all of the resources that were deployed when the endpoint was created.

Amazon SageMaker retires any custom KMS key grants associated with the endpoint, meaning you don't need to use the RevokeGrant (http://docs.aws.amazon.com/kms/latest/APIReference/API_RevokeGrant.html) API call. 

// Example sending a request using DeleteEndpointRequest.
req := client.DeleteEndpointRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteEndpoint

func (*Client) DeleteExperimentRequest added in v0.18.0 

func (c *Client) DeleteExperimentRequest(input *DeleteExperimentInput) DeleteExperimentRequest

DeleteExperimentRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes an Amazon SageMaker experiment. All trials associated with the experiment must be deleted first. Use the ListTrials API to get a list of the trials associated with the experiment. 

// Example sending a request using DeleteExperimentRequest.
req := client.DeleteExperimentRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteExperiment

func (*Client) DeleteFlowDefinitionRequest added in v0.18.0 

func (c *Client) DeleteFlowDefinitionRequest(input *DeleteFlowDefinitionInput) DeleteFlowDefinitionRequest

DeleteFlowDefinitionRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes the specified flow definition. 

// Example sending a request using DeleteFlowDefinitionRequest.
req := client.DeleteFlowDefinitionRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteFlowDefinition

func (*Client) DeleteHumanTaskUiRequest added in v0.24.0 

func (c *Client) DeleteHumanTaskUiRequest(input *DeleteHumanTaskUiInput) DeleteHumanTaskUiRequest

DeleteHumanTaskUiRequest returns a request value for making API operation for Amazon SageMaker Service.

Use this operation to delete a worker task template (HumanTaskUi).

To see a list of human task user interfaces (work task templates) in your account, use . When you delete a worker task template, it no longer appears when you call ListHumanTaskUis. 

// Example sending a request using DeleteHumanTaskUiRequest.
req := client.DeleteHumanTaskUiRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteHumanTaskUi

func (*Client) DeleteModelPackageRequest added in v0.9.0 

func (c *Client) DeleteModelPackageRequest(input *DeleteModelPackageInput) DeleteModelPackageRequest

DeleteModelPackageRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes a model package.

A model package is used to create Amazon SageMaker models or list on AWS Marketplace. Buyers can subscribe to model packages listed on AWS Marketplace to create models in Amazon SageMaker. 

// Example sending a request using DeleteModelPackageRequest.
req := client.DeleteModelPackageRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteModelPackage

func (*Client) DeleteModelRequest added in v0.9.0 

func (c *Client) DeleteModelRequest(input *DeleteModelInput) DeleteModelRequest

DeleteModelRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes a model. The DeleteModel API deletes only the model entry that was created in Amazon SageMaker when you called the CreateModel API. It does not delete model artifacts, inference code, or the IAM role that you specified when creating the model. 

// Example sending a request using DeleteModelRequest.
req := client.DeleteModelRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteModel

func (*Client) DeleteMonitoringScheduleRequest added in v0.18.0 

func (c *Client) DeleteMonitoringScheduleRequest(input *DeleteMonitoringScheduleInput) DeleteMonitoringScheduleRequest

DeleteMonitoringScheduleRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes a monitoring schedule. Also stops the schedule had not already been stopped. This does not delete the job execution history of the monitoring schedule. 

// Example sending a request using DeleteMonitoringScheduleRequest.
req := client.DeleteMonitoringScheduleRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteMonitoringSchedule

func (*Client) DeleteNotebookInstanceLifecycleConfigRequest added in v0.9.0 

func (c *Client) DeleteNotebookInstanceLifecycleConfigRequest(input *DeleteNotebookInstanceLifecycleConfigInput) DeleteNotebookInstanceLifecycleConfigRequest

DeleteNotebookInstanceLifecycleConfigRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes a notebook instance lifecycle configuration. 

// Example sending a request using DeleteNotebookInstanceLifecycleConfigRequest.
req := client.DeleteNotebookInstanceLifecycleConfigRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteNotebookInstanceLifecycleConfig

func (*Client) DeleteNotebookInstanceRequest added in v0.9.0 

func (c *Client) DeleteNotebookInstanceRequest(input *DeleteNotebookInstanceInput) DeleteNotebookInstanceRequest

DeleteNotebookInstanceRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes an Amazon SageMaker notebook instance. Before you can delete a notebook instance, you must call the StopNotebookInstance API.

When you delete a notebook instance, you lose all of your data. Amazon SageMaker removes the ML compute instance, and deletes the ML storage volume and the network interface associated with the notebook instance. 

// Example sending a request using DeleteNotebookInstanceRequest.
req := client.DeleteNotebookInstanceRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteNotebookInstance

func (*Client) DeleteTagsRequest added in v0.9.0 

func (c *Client) DeleteTagsRequest(input *DeleteTagsInput) DeleteTagsRequest

DeleteTagsRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes the specified tags from an Amazon SageMaker resource.

To list a resource's tags, use the ListTags API.

When you call this API to delete tags from a hyperparameter tuning job, the deleted tags are not removed from training jobs that the hyperparameter tuning job launched before you called this API. 

// Example sending a request using DeleteTagsRequest.
req := client.DeleteTagsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteTags

func (*Client) DeleteTrialComponentRequest added in v0.18.0 

func (c *Client) DeleteTrialComponentRequest(input *DeleteTrialComponentInput) DeleteTrialComponentRequest

DeleteTrialComponentRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes the specified trial component. A trial component must be disassociated from all trials before the trial component can be deleted. To disassociate a trial component from a trial, call the DisassociateTrialComponent API. 

// Example sending a request using DeleteTrialComponentRequest.
req := client.DeleteTrialComponentRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteTrialComponent

func (*Client) DeleteTrialRequest added in v0.18.0 

func (c *Client) DeleteTrialRequest(input *DeleteTrialInput) DeleteTrialRequest

DeleteTrialRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes the specified trial. All trial components that make up the trial must be deleted first. Use the DescribeTrialComponent API to get the list of trial components. 

// Example sending a request using DeleteTrialRequest.
req := client.DeleteTrialRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteTrial

func (*Client) DeleteUserProfileRequest added in v0.18.0 

func (c *Client) DeleteUserProfileRequest(input *DeleteUserProfileInput) DeleteUserProfileRequest

DeleteUserProfileRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes a user profile. When a user profile is deleted, the user loses access to their EFS volume, including data, notebooks, and other artifacts. 

// Example sending a request using DeleteUserProfileRequest.
req := client.DeleteUserProfileRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteUserProfile

func (*Client) DeleteWorkteamRequest added in v0.9.0 

func (c *Client) DeleteWorkteamRequest(input *DeleteWorkteamInput) DeleteWorkteamRequest

DeleteWorkteamRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes an existing work team. This operation can't be undone. 

// Example sending a request using DeleteWorkteamRequest.
req := client.DeleteWorkteamRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteWorkteam

func (*Client) DescribeAlgorithmRequest added in v0.9.0 

func (c *Client) DescribeAlgorithmRequest(input *DescribeAlgorithmInput) DescribeAlgorithmRequest

DescribeAlgorithmRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns a description of the specified algorithm that is in your account. 

// Example sending a request using DescribeAlgorithmRequest.
req := client.DescribeAlgorithmRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeAlgorithm

func (*Client) DescribeAppRequest added in v0.18.0 

func (c *Client) DescribeAppRequest(input *DescribeAppInput) DescribeAppRequest

DescribeAppRequest returns a request value for making API operation for Amazon SageMaker Service.

Describes the app. 

// Example sending a request using DescribeAppRequest.
req := client.DescribeAppRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeApp

func (*Client) DescribeAutoMLJobRequest added in v0.18.0 

func (c *Client) DescribeAutoMLJobRequest(input *DescribeAutoMLJobInput) DescribeAutoMLJobRequest

DescribeAutoMLJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns information about an Amazon SageMaker job. 

// Example sending a request using DescribeAutoMLJobRequest.
req := client.DescribeAutoMLJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeAutoMLJob

func (*Client) DescribeCodeRepositoryRequest added in v0.9.0 

func (c *Client) DescribeCodeRepositoryRequest(input *DescribeCodeRepositoryInput) DescribeCodeRepositoryRequest

DescribeCodeRepositoryRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets details about the specified Git repository. 

// Example sending a request using DescribeCodeRepositoryRequest.
req := client.DescribeCodeRepositoryRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeCodeRepository

func (*Client) DescribeCompilationJobRequest added in v0.9.0 

func (c *Client) DescribeCompilationJobRequest(input *DescribeCompilationJobInput) DescribeCompilationJobRequest

DescribeCompilationJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns information about a model compilation job.

To create a model compilation job, use CreateCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs. 

// Example sending a request using DescribeCompilationJobRequest.
req := client.DescribeCompilationJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeCompilationJob

func (*Client) DescribeDomainRequest added in v0.18.0 

func (c *Client) DescribeDomainRequest(input *DescribeDomainInput) DescribeDomainRequest

DescribeDomainRequest returns a request value for making API operation for Amazon SageMaker Service.

The description of the domain. 

// Example sending a request using DescribeDomainRequest.
req := client.DescribeDomainRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeDomain

func (*Client) DescribeEndpointConfigRequest added in v0.9.0 

func (c *Client) DescribeEndpointConfigRequest(input *DescribeEndpointConfigInput) DescribeEndpointConfigRequest

DescribeEndpointConfigRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns the description of an endpoint configuration created using the CreateEndpointConfig API. 

// Example sending a request using DescribeEndpointConfigRequest.
req := client.DescribeEndpointConfigRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeEndpointConfig

func (*Client) DescribeEndpointRequest added in v0.9.0 

func (c *Client) DescribeEndpointRequest(input *DescribeEndpointInput) DescribeEndpointRequest

DescribeEndpointRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns the description of an endpoint. 

// Example sending a request using DescribeEndpointRequest.
req := client.DescribeEndpointRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeEndpoint

func (*Client) DescribeExperimentRequest added in v0.18.0 

func (c *Client) DescribeExperimentRequest(input *DescribeExperimentInput) DescribeExperimentRequest

DescribeExperimentRequest returns a request value for making API operation for Amazon SageMaker Service.

Provides a list of an experiment's properties. 

// Example sending a request using DescribeExperimentRequest.
req := client.DescribeExperimentRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeExperiment

func (*Client) DescribeFlowDefinitionRequest added in v0.18.0 

func (c *Client) DescribeFlowDefinitionRequest(input *DescribeFlowDefinitionInput) DescribeFlowDefinitionRequest

DescribeFlowDefinitionRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns information about the specified flow definition. 

// Example sending a request using DescribeFlowDefinitionRequest.
req := client.DescribeFlowDefinitionRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeFlowDefinition

func (*Client) DescribeHumanTaskUiRequest added in v0.18.0 

func (c *Client) DescribeHumanTaskUiRequest(input *DescribeHumanTaskUiInput) DescribeHumanTaskUiRequest

DescribeHumanTaskUiRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns information about the requested human task user interface (worker task template). 

// Example sending a request using DescribeHumanTaskUiRequest.
req := client.DescribeHumanTaskUiRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeHumanTaskUi

func (*Client) DescribeHyperParameterTuningJobRequest added in v0.9.0 

func (c *Client) DescribeHyperParameterTuningJobRequest(input *DescribeHyperParameterTuningJobInput) DescribeHyperParameterTuningJobRequest

DescribeHyperParameterTuningJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets a description of a hyperparameter tuning job. 

// Example sending a request using DescribeHyperParameterTuningJobRequest.
req := client.DescribeHyperParameterTuningJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeHyperParameterTuningJob

func (*Client) DescribeLabelingJobRequest added in v0.9.0 

func (c *Client) DescribeLabelingJobRequest(input *DescribeLabelingJobInput) DescribeLabelingJobRequest

DescribeLabelingJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets information about a labeling job. 

// Example sending a request using DescribeLabelingJobRequest.
req := client.DescribeLabelingJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeLabelingJob

func (*Client) DescribeModelPackageRequest added in v0.9.0 

func (c *Client) DescribeModelPackageRequest(input *DescribeModelPackageInput) DescribeModelPackageRequest

DescribeModelPackageRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns a description of the specified model package, which is used to create Amazon SageMaker models or list them on AWS Marketplace.

To create models in Amazon SageMaker, buyers can subscribe to model packages listed on AWS Marketplace. 

// Example sending a request using DescribeModelPackageRequest.
req := client.DescribeModelPackageRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeModelPackage

func (*Client) DescribeModelRequest added in v0.9.0 

func (c *Client) DescribeModelRequest(input *DescribeModelInput) DescribeModelRequest

DescribeModelRequest returns a request value for making API operation for Amazon SageMaker Service.

Describes a model that you created using the CreateModel API. 

// Example sending a request using DescribeModelRequest.
req := client.DescribeModelRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeModel

func (*Client) DescribeMonitoringScheduleRequest added in v0.18.0 

func (c *Client) DescribeMonitoringScheduleRequest(input *DescribeMonitoringScheduleInput) DescribeMonitoringScheduleRequest

DescribeMonitoringScheduleRequest returns a request value for making API operation for Amazon SageMaker Service.

Describes the schedule for a monitoring job. 

// Example sending a request using DescribeMonitoringScheduleRequest.
req := client.DescribeMonitoringScheduleRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeMonitoringSchedule

func (*Client) DescribeNotebookInstanceLifecycleConfigRequest added in v0.9.0 

func (c *Client) DescribeNotebookInstanceLifecycleConfigRequest(input *DescribeNotebookInstanceLifecycleConfigInput) DescribeNotebookInstanceLifecycleConfigRequest

DescribeNotebookInstanceLifecycleConfigRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns a description of a notebook instance lifecycle configuration.

For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance (https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html). 

// Example sending a request using DescribeNotebookInstanceLifecycleConfigRequest.
req := client.DescribeNotebookInstanceLifecycleConfigRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeNotebookInstanceLifecycleConfig

func (*Client) DescribeNotebookInstanceRequest added in v0.9.0 

func (c *Client) DescribeNotebookInstanceRequest(input *DescribeNotebookInstanceInput) DescribeNotebookInstanceRequest

DescribeNotebookInstanceRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns information about a notebook instance. 

// Example sending a request using DescribeNotebookInstanceRequest.
req := client.DescribeNotebookInstanceRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeNotebookInstance

func (*Client) DescribeProcessingJobRequest added in v0.18.0 

func (c *Client) DescribeProcessingJobRequest(input *DescribeProcessingJobInput) DescribeProcessingJobRequest

DescribeProcessingJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns a description of a processing job. 

// Example sending a request using DescribeProcessingJobRequest.
req := client.DescribeProcessingJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeProcessingJob

func (*Client) DescribeSubscribedWorkteamRequest added in v0.9.0 

func (c *Client) DescribeSubscribedWorkteamRequest(input *DescribeSubscribedWorkteamInput) DescribeSubscribedWorkteamRequest

DescribeSubscribedWorkteamRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets information about a work team provided by a vendor. It returns details about the subscription with a vendor in the AWS Marketplace. 

// Example sending a request using DescribeSubscribedWorkteamRequest.
req := client.DescribeSubscribedWorkteamRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeSubscribedWorkteam

func (*Client) DescribeTrainingJobRequest added in v0.9.0 

func (c *Client) DescribeTrainingJobRequest(input *DescribeTrainingJobInput) DescribeTrainingJobRequest

DescribeTrainingJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns information about a training job. 

// Example sending a request using DescribeTrainingJobRequest.
req := client.DescribeTrainingJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeTrainingJob

func (*Client) DescribeTransformJobRequest added in v0.9.0 

func (c *Client) DescribeTransformJobRequest(input *DescribeTransformJobInput) DescribeTransformJobRequest

DescribeTransformJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns information about a transform job. 

// Example sending a request using DescribeTransformJobRequest.
req := client.DescribeTransformJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeTransformJob

func (*Client) DescribeTrialComponentRequest added in v0.18.0 

func (c *Client) DescribeTrialComponentRequest(input *DescribeTrialComponentInput) DescribeTrialComponentRequest

DescribeTrialComponentRequest returns a request value for making API operation for Amazon SageMaker Service.

Provides a list of a trials component's properties. 

// Example sending a request using DescribeTrialComponentRequest.
req := client.DescribeTrialComponentRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeTrialComponent

func (*Client) DescribeTrialRequest added in v0.18.0 

func (c *Client) DescribeTrialRequest(input *DescribeTrialInput) DescribeTrialRequest

DescribeTrialRequest returns a request value for making API operation for Amazon SageMaker Service.

Provides a list of a trial's properties. 

// Example sending a request using DescribeTrialRequest.
req := client.DescribeTrialRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeTrial

func (*Client) DescribeUserProfileRequest added in v0.18.0 

func (c *Client) DescribeUserProfileRequest(input *DescribeUserProfileInput) DescribeUserProfileRequest

DescribeUserProfileRequest returns a request value for making API operation for Amazon SageMaker Service.

Describes a user profile. For more information, see CreateUserProfile. 

// Example sending a request using DescribeUserProfileRequest.
req := client.DescribeUserProfileRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeUserProfile

func (*Client) DescribeWorkforceRequest added in v0.19.0 

func (c *Client) DescribeWorkforceRequest(input *DescribeWorkforceInput) DescribeWorkforceRequest

DescribeWorkforceRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists private workforce information, including workforce name, Amazon Resource Name (ARN), and, if applicable, allowed IP address ranges (CIDRs (https://docs.aws.amazon.com/vpc/latest/userguide/VPC_Subnets.html)). Allowable IP address ranges are the IP addresses that workers can use to access tasks.

This operation applies only to private workforces. 

// Example sending a request using DescribeWorkforceRequest.
req := client.DescribeWorkforceRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeWorkforce

func (*Client) DescribeWorkteamRequest added in v0.9.0 

func (c *Client) DescribeWorkteamRequest(input *DescribeWorkteamInput) DescribeWorkteamRequest

DescribeWorkteamRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets information about a specific work team. You can see information such as the create date, the last updated date, membership information, and the work team's Amazon Resource Name (ARN). 

// Example sending a request using DescribeWorkteamRequest.
req := client.DescribeWorkteamRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeWorkteam

func (*Client) DisassociateTrialComponentRequest added in v0.18.0 

func (c *Client) DisassociateTrialComponentRequest(input *DisassociateTrialComponentInput) DisassociateTrialComponentRequest

DisassociateTrialComponentRequest returns a request value for making API operation for Amazon SageMaker Service.

Disassociates a trial component from a trial. This doesn't effect other trials the component is associated with. Before you can delete a component, you must disassociate the component from all trials it is associated with. To associate a trial component with a trial, call the AssociateTrialComponent API.

To get a list of the trials a component is associated with, use the Search API. Specify ExperimentTrialComponent for the Resource parameter. The list appears in the response under Results.TrialComponent.Parents. 

// Example sending a request using DisassociateTrialComponentRequest.
req := client.DisassociateTrialComponentRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DisassociateTrialComponent

func (*Client) GetSearchSuggestionsRequest added in v0.9.0 

func (c *Client) GetSearchSuggestionsRequest(input *GetSearchSuggestionsInput) GetSearchSuggestionsRequest

GetSearchSuggestionsRequest returns a request value for making API operation for Amazon SageMaker Service.

An auto-complete API for the search functionality in the Amazon SageMaker console. It returns suggestions of possible matches for the property name to use in Search queries. Provides suggestions for HyperParameters, Tags, and Metrics. 

// Example sending a request using GetSearchSuggestionsRequest.
req := client.GetSearchSuggestionsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/GetSearchSuggestions

func (*Client) ListAlgorithmsRequest added in v0.9.0 

func (c *Client) ListAlgorithmsRequest(input *ListAlgorithmsInput) ListAlgorithmsRequest

ListAlgorithmsRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists the machine learning algorithms that have been created. 

// Example sending a request using ListAlgorithmsRequest.
req := client.ListAlgorithmsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListAlgorithms

func (*Client) ListAppsRequest added in v0.18.0 

func (c *Client) ListAppsRequest(input *ListAppsInput) ListAppsRequest

ListAppsRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists apps. 

// Example sending a request using ListAppsRequest.
req := client.ListAppsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListApps

func (*Client) ListAutoMLJobsRequest added in v0.18.0 

func (c *Client) ListAutoMLJobsRequest(input *ListAutoMLJobsInput) ListAutoMLJobsRequest

ListAutoMLJobsRequest returns a request value for making API operation for Amazon SageMaker Service.

Request a list of jobs. 

// Example sending a request using ListAutoMLJobsRequest.
req := client.ListAutoMLJobsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListAutoMLJobs

func (*Client) ListCandidatesForAutoMLJobRequest added in v0.18.0 

func (c *Client) ListCandidatesForAutoMLJobRequest(input *ListCandidatesForAutoMLJobInput) ListCandidatesForAutoMLJobRequest

ListCandidatesForAutoMLJobRequest returns a request value for making API operation for Amazon SageMaker Service.

List the Candidates created for the job. 

// Example sending a request using ListCandidatesForAutoMLJobRequest.
req := client.ListCandidatesForAutoMLJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListCandidatesForAutoMLJob

func (*Client) ListCodeRepositoriesRequest added in v0.9.0 

func (c *Client) ListCodeRepositoriesRequest(input *ListCodeRepositoriesInput) ListCodeRepositoriesRequest

ListCodeRepositoriesRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets a list of the Git repositories in your account. 

// Example sending a request using ListCodeRepositoriesRequest.
req := client.ListCodeRepositoriesRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListCodeRepositories

func (*Client) ListCompilationJobsRequest added in v0.9.0 

func (c *Client) ListCompilationJobsRequest(input *ListCompilationJobsInput) ListCompilationJobsRequest

ListCompilationJobsRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists model compilation jobs that satisfy various filters.

To create a model compilation job, use CreateCompilationJob. To get information about a particular model compilation job you have created, use DescribeCompilationJob. 

// Example sending a request using ListCompilationJobsRequest.
req := client.ListCompilationJobsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListCompilationJobs

func (*Client) ListDomainsRequest added in v0.18.0 

func (c *Client) ListDomainsRequest(input *ListDomainsInput) ListDomainsRequest

ListDomainsRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists the domains. 

// Example sending a request using ListDomainsRequest.
req := client.ListDomainsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListDomains

func (*Client) ListEndpointConfigsRequest added in v0.9.0 

func (c *Client) ListEndpointConfigsRequest(input *ListEndpointConfigsInput) ListEndpointConfigsRequest

ListEndpointConfigsRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists endpoint configurations. 

// Example sending a request using ListEndpointConfigsRequest.
req := client.ListEndpointConfigsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListEndpointConfigs

func (*Client) ListEndpointsRequest added in v0.9.0 

func (c *Client) ListEndpointsRequest(input *ListEndpointsInput) ListEndpointsRequest

ListEndpointsRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists endpoints. 

// Example sending a request using ListEndpointsRequest.
req := client.ListEndpointsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListEndpoints

func (*Client) ListExperimentsRequest added in v0.18.0 

func (c *Client) ListExperimentsRequest(input *ListExperimentsInput) ListExperimentsRequest

ListExperimentsRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists all the experiments in your account. The list can be filtered to show only experiments that were created in a specific time range. The list can be sorted by experiment name or creation time. 

// Example sending a request using ListExperimentsRequest.
req := client.ListExperimentsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListExperiments

func (*Client) ListFlowDefinitionsRequest added in v0.18.0 

func (c *Client) ListFlowDefinitionsRequest(input *ListFlowDefinitionsInput) ListFlowDefinitionsRequest

ListFlowDefinitionsRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns information about the flow definitions in your account. 

// Example sending a request using ListFlowDefinitionsRequest.
req := client.ListFlowDefinitionsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListFlowDefinitions

func (*Client) ListHumanTaskUisRequest added in v0.18.0 

func (c *Client) ListHumanTaskUisRequest(input *ListHumanTaskUisInput) ListHumanTaskUisRequest

ListHumanTaskUisRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns information about the human task user interfaces in your account. 

// Example sending a request using ListHumanTaskUisRequest.
req := client.ListHumanTaskUisRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListHumanTaskUis

func (*Client) ListHyperParameterTuningJobsRequest added in v0.9.0 

func (c *Client) ListHyperParameterTuningJobsRequest(input *ListHyperParameterTuningJobsInput) ListHyperParameterTuningJobsRequest

ListHyperParameterTuningJobsRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account. 

// Example sending a request using ListHyperParameterTuningJobsRequest.
req := client.ListHyperParameterTuningJobsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListHyperParameterTuningJobs

func (*Client) ListLabelingJobsForWorkteamRequest added in v0.9.0 

func (c *Client) ListLabelingJobsForWorkteamRequest(input *ListLabelingJobsForWorkteamInput) ListLabelingJobsForWorkteamRequest

ListLabelingJobsForWorkteamRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets a list of labeling jobs assigned to a specified work team. 

// Example sending a request using ListLabelingJobsForWorkteamRequest.
req := client.ListLabelingJobsForWorkteamRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListLabelingJobsForWorkteam

func (*Client) ListLabelingJobsRequest added in v0.9.0 

func (c *Client) ListLabelingJobsRequest(input *ListLabelingJobsInput) ListLabelingJobsRequest

ListLabelingJobsRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets a list of labeling jobs. 

// Example sending a request using ListLabelingJobsRequest.
req := client.ListLabelingJobsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListLabelingJobs

func (*Client) ListModelPackagesRequest added in v0.9.0 

func (c *Client) ListModelPackagesRequest(input *ListModelPackagesInput) ListModelPackagesRequest

ListModelPackagesRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists the model packages that have been created. 

// Example sending a request using ListModelPackagesRequest.
req := client.ListModelPackagesRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListModelPackages

func (*Client) ListModelsRequest added in v0.9.0 

func (c *Client) ListModelsRequest(input *ListModelsInput) ListModelsRequest

ListModelsRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists models created with the CreateModel API. 

// Example sending a request using ListModelsRequest.
req := client.ListModelsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListModels

func (*Client) ListMonitoringExecutionsRequest added in v0.18.0 

func (c *Client) ListMonitoringExecutionsRequest(input *ListMonitoringExecutionsInput) ListMonitoringExecutionsRequest

ListMonitoringExecutionsRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns list of all monitoring job executions. 

// Example sending a request using ListMonitoringExecutionsRequest.
req := client.ListMonitoringExecutionsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListMonitoringExecutions

func (*Client) ListMonitoringSchedulesRequest added in v0.18.0 

func (c *Client) ListMonitoringSchedulesRequest(input *ListMonitoringSchedulesInput) ListMonitoringSchedulesRequest

ListMonitoringSchedulesRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns list of all monitoring schedules. 

// Example sending a request using ListMonitoringSchedulesRequest.
req := client.ListMonitoringSchedulesRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListMonitoringSchedules

func (*Client) ListNotebookInstanceLifecycleConfigsRequest added in v0.9.0 

func (c *Client) ListNotebookInstanceLifecycleConfigsRequest(input *ListNotebookInstanceLifecycleConfigsInput) ListNotebookInstanceLifecycleConfigsRequest

ListNotebookInstanceLifecycleConfigsRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API. 

// Example sending a request using ListNotebookInstanceLifecycleConfigsRequest.
req := client.ListNotebookInstanceLifecycleConfigsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListNotebookInstanceLifecycleConfigs

func (*Client) ListNotebookInstancesRequest added in v0.9.0 

func (c *Client) ListNotebookInstancesRequest(input *ListNotebookInstancesInput) ListNotebookInstancesRequest

ListNotebookInstancesRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region. 

// Example sending a request using ListNotebookInstancesRequest.
req := client.ListNotebookInstancesRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListNotebookInstances

func (*Client) ListProcessingJobsRequest added in v0.18.0 

func (c *Client) ListProcessingJobsRequest(input *ListProcessingJobsInput) ListProcessingJobsRequest

ListProcessingJobsRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists processing jobs that satisfy various filters. 

// Example sending a request using ListProcessingJobsRequest.
req := client.ListProcessingJobsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListProcessingJobs

func (*Client) ListSubscribedWorkteamsRequest added in v0.9.0 

func (c *Client) ListSubscribedWorkteamsRequest(input *ListSubscribedWorkteamsInput) ListSubscribedWorkteamsRequest

ListSubscribedWorkteamsRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets a list of the work teams that you are subscribed to in the AWS Marketplace. The list may be empty if no work team satisfies the filter specified in the NameContains parameter. 

// Example sending a request using ListSubscribedWorkteamsRequest.
req := client.ListSubscribedWorkteamsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListSubscribedWorkteams

func (*Client) ListTagsRequest added in v0.9.0 

func (c *Client) ListTagsRequest(input *ListTagsInput) ListTagsRequest

ListTagsRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns the tags for the specified Amazon SageMaker resource. 

// Example sending a request using ListTagsRequest.
req := client.ListTagsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListTags

func (*Client) ListTrainingJobsForHyperParameterTuningJobRequest added in v0.9.0 

func (c *Client) ListTrainingJobsForHyperParameterTuningJobRequest(input *ListTrainingJobsForHyperParameterTuningJobInput) ListTrainingJobsForHyperParameterTuningJobRequest

ListTrainingJobsForHyperParameterTuningJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched. 

// Example sending a request using ListTrainingJobsForHyperParameterTuningJobRequest.
req := client.ListTrainingJobsForHyperParameterTuningJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListTrainingJobsForHyperParameterTuningJob

func (*Client) ListTrainingJobsRequest added in v0.9.0 

func (c *Client) ListTrainingJobsRequest(input *ListTrainingJobsInput) ListTrainingJobsRequest

ListTrainingJobsRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists training jobs. 

// Example sending a request using ListTrainingJobsRequest.
req := client.ListTrainingJobsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListTrainingJobs

func (*Client) ListTransformJobsRequest added in v0.9.0 

func (c *Client) ListTransformJobsRequest(input *ListTransformJobsInput) ListTransformJobsRequest

ListTransformJobsRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists transform jobs. 

// Example sending a request using ListTransformJobsRequest.
req := client.ListTransformJobsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListTransformJobs

func (*Client) ListTrialComponentsRequest added in v0.18.0 

func (c *Client) ListTrialComponentsRequest(input *ListTrialComponentsInput) ListTrialComponentsRequest

ListTrialComponentsRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists the trial components in your account. You can sort the list by trial component name or creation time. You can filter the list to show only components that were created in a specific time range. You can also filter on one of the following:

  • ExperimentName

  • SourceArn

  • TrialName

    // Example sending a request using ListTrialComponentsRequest. req := client.ListTrialComponentsRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListTrialComponents

func (*Client) ListTrialsRequest added in v0.18.0 

func (c *Client) ListTrialsRequest(input *ListTrialsInput) ListTrialsRequest

ListTrialsRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists the trials in your account. Specify an experiment name to limit the list to the trials that are part of that experiment. Specify a trial component name to limit the list to the trials that associated with that trial component. The list can be filtered to show only trials that were created in a specific time range. The list can be sorted by trial name or creation time. 

// Example sending a request using ListTrialsRequest.
req := client.ListTrialsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListTrials

func (*Client) ListUserProfilesRequest added in v0.18.0 

func (c *Client) ListUserProfilesRequest(input *ListUserProfilesInput) ListUserProfilesRequest

ListUserProfilesRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists user profiles. 

// Example sending a request using ListUserProfilesRequest.
req := client.ListUserProfilesRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListUserProfiles

func (*Client) ListWorkteamsRequest added in v0.9.0 

func (c *Client) ListWorkteamsRequest(input *ListWorkteamsInput) ListWorkteamsRequest

ListWorkteamsRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets a list of work teams that you have defined in a region. The list may be empty if no work team satisfies the filter specified in the NameContains parameter. 

// Example sending a request using ListWorkteamsRequest.
req := client.ListWorkteamsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListWorkteams

func (*Client) RenderUiTemplateRequest added in v0.9.0 

func (c *Client) RenderUiTemplateRequest(input *RenderUiTemplateInput) RenderUiTemplateRequest

RenderUiTemplateRequest returns a request value for making API operation for Amazon SageMaker Service.

Renders the UI template so that you can preview the worker's experience. 

// Example sending a request using RenderUiTemplateRequest.
req := client.RenderUiTemplateRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/RenderUiTemplate

func (*Client) SearchRequest added in v0.9.0 

func (c *Client) SearchRequest(input *SearchInput) SearchRequest

SearchRequest returns a request value for making API operation for Amazon SageMaker Service.

Finds Amazon SageMaker resources that match a search query. Matching resources are returned as a list of SearchRecord objects in the response. You can sort the search results by any resource property in a ascending or descending order.

You can query against the following value types: numeric, text, Boolean, and timestamp. 

// Example sending a request using SearchRequest.
req := client.SearchRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/Search

func (*Client) StartMonitoringScheduleRequest added in v0.18.0 

func (c *Client) StartMonitoringScheduleRequest(input *StartMonitoringScheduleInput) StartMonitoringScheduleRequest

StartMonitoringScheduleRequest returns a request value for making API operation for Amazon SageMaker Service.

Starts a previously stopped monitoring schedule.

New monitoring schedules are immediately started after creation. 

// Example sending a request using StartMonitoringScheduleRequest.
req := client.StartMonitoringScheduleRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StartMonitoringSchedule

func (*Client) StartNotebookInstanceRequest added in v0.9.0 

func (c *Client) StartNotebookInstanceRequest(input *StartNotebookInstanceInput) StartNotebookInstanceRequest

StartNotebookInstanceRequest returns a request value for making API operation for Amazon SageMaker Service.

Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume. After configuring the notebook instance, Amazon SageMaker sets the notebook instance status to InService. A notebook instance's status must be InService before you can connect to your Jupyter notebook. 

// Example sending a request using StartNotebookInstanceRequest.
req := client.StartNotebookInstanceRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StartNotebookInstance

func (*Client) StopAutoMLJobRequest added in v0.18.0 

func (c *Client) StopAutoMLJobRequest(input *StopAutoMLJobInput) StopAutoMLJobRequest

StopAutoMLJobRequest returns a request value for making API operation for Amazon SageMaker Service.

A method for forcing the termination of a running job. 

// Example sending a request using StopAutoMLJobRequest.
req := client.StopAutoMLJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StopAutoMLJob

func (*Client) StopCompilationJobRequest added in v0.9.0 

func (c *Client) StopCompilationJobRequest(input *StopCompilationJobInput) StopCompilationJobRequest

StopCompilationJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Stops a model compilation job.

To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal. This gracefully shuts the job down. If the job hasn't stopped, it sends the SIGKILL signal.

When it receives a StopCompilationJob request, Amazon SageMaker changes the CompilationJobSummary$CompilationJobStatus of the job to Stopping. After Amazon SageMaker stops the job, it sets the CompilationJobSummary$CompilationJobStatus to Stopped. 

// Example sending a request using StopCompilationJobRequest.
req := client.StopCompilationJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StopCompilationJob

func (*Client) StopHyperParameterTuningJobRequest added in v0.9.0 

func (c *Client) StopHyperParameterTuningJobRequest(input *StopHyperParameterTuningJobInput) StopHyperParameterTuningJobRequest

StopHyperParameterTuningJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.

All model artifacts output from the training jobs are stored in Amazon Simple Storage Service (Amazon S3). All data that the training jobs write to Amazon CloudWatch Logs are still available in CloudWatch. After the tuning job moves to the Stopped state, it releases all reserved resources for the tuning job. 

// Example sending a request using StopHyperParameterTuningJobRequest.
req := client.StopHyperParameterTuningJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StopHyperParameterTuningJob

func (*Client) StopLabelingJobRequest added in v0.9.0 

func (c *Client) StopLabelingJobRequest(input *StopLabelingJobInput) StopLabelingJobRequest

StopLabelingJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Stops a running labeling job. A job that is stopped cannot be restarted. Any results obtained before the job is stopped are placed in the Amazon S3 output bucket. 

// Example sending a request using StopLabelingJobRequest.
req := client.StopLabelingJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StopLabelingJob

func (*Client) StopMonitoringScheduleRequest added in v0.18.0 

func (c *Client) StopMonitoringScheduleRequest(input *StopMonitoringScheduleInput) StopMonitoringScheduleRequest

StopMonitoringScheduleRequest returns a request value for making API operation for Amazon SageMaker Service.

Stops a previously started monitoring schedule. 

// Example sending a request using StopMonitoringScheduleRequest.
req := client.StopMonitoringScheduleRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StopMonitoringSchedule

func (*Client) StopNotebookInstanceRequest added in v0.9.0 

func (c *Client) StopNotebookInstanceRequest(input *StopNotebookInstanceInput) StopNotebookInstanceRequest

StopNotebookInstanceRequest returns a request value for making API operation for Amazon SageMaker Service.

Terminates the ML compute instance. Before terminating the instance, Amazon SageMaker disconnects the ML storage volume from it. Amazon SageMaker preserves the ML storage volume. Amazon SageMaker stops charging you for the ML compute instance when you call StopNotebookInstance.

To access data on the ML storage volume for a notebook instance that has been terminated, call the StartNotebookInstance API. StartNotebookInstance launches another ML compute instance, configures it, and attaches the preserved ML storage volume so you can continue your work. 

// Example sending a request using StopNotebookInstanceRequest.
req := client.StopNotebookInstanceRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StopNotebookInstance

func (*Client) StopProcessingJobRequest added in v0.18.0 

func (c *Client) StopProcessingJobRequest(input *StopProcessingJobInput) StopProcessingJobRequest

StopProcessingJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Stops a processing job. 

// Example sending a request using StopProcessingJobRequest.
req := client.StopProcessingJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StopProcessingJob

func (*Client) StopTrainingJobRequest added in v0.9.0 

func (c *Client) StopTrainingJobRequest(input *StopTrainingJobInput) StopTrainingJobRequest

StopTrainingJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Stops a training job. To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms might use this 120-second window to save the model artifacts, so the results of the training is not lost.

When it receives a StopTrainingJob request, Amazon SageMaker changes the status of the job to Stopping. After Amazon SageMaker stops the job, it sets the status to Stopped. 

// Example sending a request using StopTrainingJobRequest.
req := client.StopTrainingJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StopTrainingJob

func (*Client) StopTransformJobRequest added in v0.9.0 

func (c *Client) StopTransformJobRequest(input *StopTransformJobInput) StopTransformJobRequest

StopTransformJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Stops a transform job.

When Amazon SageMaker receives a StopTransformJob request, the status of the job changes to Stopping. After Amazon SageMaker stops the job, the status is set to Stopped. When you stop a transform job before it is completed, Amazon SageMaker doesn't store the job's output in Amazon S3. 

// Example sending a request using StopTransformJobRequest.
req := client.StopTransformJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StopTransformJob

func (*Client) UpdateCodeRepositoryRequest added in v0.9.0 

func (c *Client) UpdateCodeRepositoryRequest(input *UpdateCodeRepositoryInput) UpdateCodeRepositoryRequest

UpdateCodeRepositoryRequest returns a request value for making API operation for Amazon SageMaker Service.

Updates the specified Git repository with the specified values. 

// Example sending a request using UpdateCodeRepositoryRequest.
req := client.UpdateCodeRepositoryRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateCodeRepository

func (*Client) UpdateDomainRequest added in v0.18.0 

func (c *Client) UpdateDomainRequest(input *UpdateDomainInput) UpdateDomainRequest

UpdateDomainRequest returns a request value for making API operation for Amazon SageMaker Service.

Updates the default settings for new user profiles in the domain. 

// Example sending a request using UpdateDomainRequest.
req := client.UpdateDomainRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateDomain

func (*Client) UpdateEndpointRequest added in v0.9.0 

func (c *Client) UpdateEndpointRequest(input *UpdateEndpointInput) UpdateEndpointRequest

UpdateEndpointRequest returns a request value for making API operation for Amazon SageMaker Service.

Deploys the new EndpointConfig specified in the request, switches to using newly created endpoint, and then deletes resources provisioned for the endpoint using the previous EndpointConfig (there is no availability loss).

When Amazon SageMaker receives the request, it sets the endpoint status to Updating. After updating the endpoint, it sets the status to InService. To check the status of an endpoint, use the DescribeEndpoint API.

You must not delete an EndpointConfig in use by an endpoint that is live or while the UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To update an endpoint, you must create a new EndpointConfig.

If you delete the EndpointConfig of an endpoint that is active or being created or updated you may lose visibility into the instance type the endpoint is using. The endpoint must be deleted in order to stop incurring charges. 

// Example sending a request using UpdateEndpointRequest.
req := client.UpdateEndpointRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateEndpoint

func (*Client) UpdateEndpointWeightsAndCapacitiesRequest added in v0.9.0 

func (c *Client) UpdateEndpointWeightsAndCapacitiesRequest(input *UpdateEndpointWeightsAndCapacitiesInput) UpdateEndpointWeightsAndCapacitiesRequest

UpdateEndpointWeightsAndCapacitiesRequest returns a request value for making API operation for Amazon SageMaker Service.

Updates variant weight of one or more variants associated with an existing endpoint, or capacity of one variant associated with an existing endpoint. When it receives the request, Amazon SageMaker sets the endpoint status to Updating. After updating the endpoint, it sets the status to InService. To check the status of an endpoint, use the DescribeEndpoint API. 

// Example sending a request using UpdateEndpointWeightsAndCapacitiesRequest.
req := client.UpdateEndpointWeightsAndCapacitiesRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateEndpointWeightsAndCapacities

func (*Client) UpdateExperimentRequest added in v0.18.0 

func (c *Client) UpdateExperimentRequest(input *UpdateExperimentInput) UpdateExperimentRequest

UpdateExperimentRequest returns a request value for making API operation for Amazon SageMaker Service.

Adds, updates, or removes the description of an experiment. Updates the display name of an experiment. 

// Example sending a request using UpdateExperimentRequest.
req := client.UpdateExperimentRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateExperiment

func (*Client) UpdateMonitoringScheduleRequest added in v0.18.0 

func (c *Client) UpdateMonitoringScheduleRequest(input *UpdateMonitoringScheduleInput) UpdateMonitoringScheduleRequest

UpdateMonitoringScheduleRequest returns a request value for making API operation for Amazon SageMaker Service.

Updates a previously created schedule. 

// Example sending a request using UpdateMonitoringScheduleRequest.
req := client.UpdateMonitoringScheduleRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateMonitoringSchedule

func (*Client) UpdateNotebookInstanceLifecycleConfigRequest added in v0.9.0 

func (c *Client) UpdateNotebookInstanceLifecycleConfigRequest(input *UpdateNotebookInstanceLifecycleConfigInput) UpdateNotebookInstanceLifecycleConfigRequest

UpdateNotebookInstanceLifecycleConfigRequest returns a request value for making API operation for Amazon SageMaker Service.

Updates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API. 

// Example sending a request using UpdateNotebookInstanceLifecycleConfigRequest.
req := client.UpdateNotebookInstanceLifecycleConfigRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateNotebookInstanceLifecycleConfig

func (*Client) UpdateNotebookInstanceRequest added in v0.9.0 

func (c *Client) UpdateNotebookInstanceRequest(input *UpdateNotebookInstanceInput) UpdateNotebookInstanceRequest

UpdateNotebookInstanceRequest returns a request value for making API operation for Amazon SageMaker Service.

Updates a notebook instance. NotebookInstance updates include upgrading or downgrading the ML compute instance used for your notebook instance to accommodate changes in your workload requirements. 

// Example sending a request using UpdateNotebookInstanceRequest.
req := client.UpdateNotebookInstanceRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateNotebookInstance

func (*Client) UpdateTrialComponentRequest added in v0.18.0 

func (c *Client) UpdateTrialComponentRequest(input *UpdateTrialComponentInput) UpdateTrialComponentRequest

UpdateTrialComponentRequest returns a request value for making API operation for Amazon SageMaker Service.

Updates one or more properties of a trial component. 

// Example sending a request using UpdateTrialComponentRequest.
req := client.UpdateTrialComponentRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateTrialComponent

func (*Client) UpdateTrialRequest added in v0.18.0 

func (c *Client) UpdateTrialRequest(input *UpdateTrialInput) UpdateTrialRequest

UpdateTrialRequest returns a request value for making API operation for Amazon SageMaker Service.

Updates the display name of a trial. 

// Example sending a request using UpdateTrialRequest.
req := client.UpdateTrialRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateTrial

func (*Client) UpdateUserProfileRequest added in v0.18.0 

func (c *Client) UpdateUserProfileRequest(input *UpdateUserProfileInput) UpdateUserProfileRequest

UpdateUserProfileRequest returns a request value for making API operation for Amazon SageMaker Service.

Updates a user profile. 

// Example sending a request using UpdateUserProfileRequest.
req := client.UpdateUserProfileRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateUserProfile

func (*Client) UpdateWorkforceRequest added in v0.19.0 

func (c *Client) UpdateWorkforceRequest(input *UpdateWorkforceInput) UpdateWorkforceRequest

UpdateWorkforceRequest returns a request value for making API operation for Amazon SageMaker Service.

Restricts access to tasks assigned to workers in the specified workforce to those within specific ranges of IP addresses. You specify allowed IP addresses by creating a list of up to ten CIDRs (https://docs.aws.amazon.com/vpc/latest/userguide/VPC_Subnets.html).

By default, a workforce isn't restricted to specific IP addresses. If you specify a range of IP addresses, workers who attempt to access tasks using any IP address outside the specified range are denied access and get a Not Found error message on the worker portal. After restricting access with this operation, you can see the allowed IP values for a private workforce with the operation.

This operation applies only to private workforces. 

// Example sending a request using UpdateWorkforceRequest.
req := client.UpdateWorkforceRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateWorkforce

func (*Client) UpdateWorkteamRequest added in v0.9.0 

func (c *Client) UpdateWorkteamRequest(input *UpdateWorkteamInput) UpdateWorkteamRequest

UpdateWorkteamRequest returns a request value for making API operation for Amazon SageMaker Service.

Updates an existing work team with new member definitions or description. 

// Example sending a request using UpdateWorkteamRequest.
req := client.UpdateWorkteamRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateWorkteam

func (*Client) WaitUntilEndpointDeleted added in v0.9.0 

func (c *Client) WaitUntilEndpointDeleted(ctx context.Context, input *DescribeEndpointInput, opts ...aws.WaiterOption) error

WaitUntilEndpointDeleted uses the SageMaker API operation DescribeEndpoint to wait for a condition to be met before returning. If the condition is not met within the max attempt window, an error will be returned.

The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.

func (*Client) WaitUntilEndpointInService added in v0.9.0 

func (c *Client) WaitUntilEndpointInService(ctx context.Context, input *DescribeEndpointInput, opts ...aws.WaiterOption) error

WaitUntilEndpointInService uses the SageMaker API operation DescribeEndpoint to wait for a condition to be met before returning. If the condition is not met within the max attempt window, an error will be returned.

The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.

func (*Client) WaitUntilNotebookInstanceDeleted added in v0.9.0 

func (c *Client) WaitUntilNotebookInstanceDeleted(ctx context.Context, input *DescribeNotebookInstanceInput, opts ...aws.WaiterOption) error

WaitUntilNotebookInstanceDeleted uses the SageMaker API operation DescribeNotebookInstance to wait for a condition to be met before returning. If the condition is not met within the max attempt window, an error will be returned.

The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.

func (*Client) WaitUntilNotebookInstanceInService added in v0.9.0 

func (c *Client) WaitUntilNotebookInstanceInService(ctx context.Context, input *DescribeNotebookInstanceInput, opts ...aws.WaiterOption) error

WaitUntilNotebookInstanceInService uses the SageMaker API operation DescribeNotebookInstance to wait for a condition to be met before returning. If the condition is not met within the max attempt window, an error will be returned.

The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.

func (*Client) WaitUntilNotebookInstanceStopped added in v0.9.0 

func (c *Client) WaitUntilNotebookInstanceStopped(ctx context.Context, input *DescribeNotebookInstanceInput, opts ...aws.WaiterOption) error

WaitUntilNotebookInstanceStopped uses the SageMaker API operation DescribeNotebookInstance to wait for a condition to be met before returning. If the condition is not met within the max attempt window, an error will be returned.

The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.

func (*Client) WaitUntilProcessingJobCompletedOrStopped added in v0.18.0 

func (c *Client) WaitUntilProcessingJobCompletedOrStopped(ctx context.Context, input *DescribeProcessingJobInput, opts ...aws.WaiterOption) error

WaitUntilProcessingJobCompletedOrStopped uses the SageMaker API operation DescribeProcessingJob to wait for a condition to be met before returning. If the condition is not met within the max attempt window, an error will be returned.

The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.

func (*Client) WaitUntilTrainingJobCompletedOrStopped added in v0.9.0 

func (c *Client) WaitUntilTrainingJobCompletedOrStopped(ctx context.Context, input *DescribeTrainingJobInput, opts ...aws.WaiterOption) error

WaitUntilTrainingJobCompletedOrStopped uses the SageMaker API operation DescribeTrainingJob to wait for a condition to be met before returning. If the condition is not met within the max attempt window, an error will be returned.

The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.

func (*Client) WaitUntilTransformJobCompletedOrStopped added in v0.9.0 

func (c *Client) WaitUntilTransformJobCompletedOrStopped(ctx context.Context, input *DescribeTransformJobInput, opts ...aws.WaiterOption) error

WaitUntilTransformJobCompletedOrStopped uses the SageMaker API operation DescribeTransformJob to wait for a condition to be met before returning. If the condition is not met within the max attempt window, an error will be returned.

The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.

type CodeRepositorySortBy added in v0.6.0 

type CodeRepositorySortBy string
const (
	CodeRepositorySortByName             CodeRepositorySortBy = "Name"
	CodeRepositorySortByCreationTime     CodeRepositorySortBy = "CreationTime"
	CodeRepositorySortByLastModifiedTime CodeRepositorySortBy = "LastModifiedTime"
)

Enum values for CodeRepositorySortBy

func (CodeRepositorySortBy) MarshalValue added in v0.6.0 

func (enum CodeRepositorySortBy) MarshalValue() (string, error)

func (CodeRepositorySortBy) MarshalValueBuf added in v0.6.0 

func (enum CodeRepositorySortBy) MarshalValueBuf(b []byte) ([]byte, error)

type CodeRepositorySortOrder added in v0.6.0 

type CodeRepositorySortOrder string
const (
	CodeRepositorySortOrderAscending  CodeRepositorySortOrder = "Ascending"
	CodeRepositorySortOrderDescending CodeRepositorySortOrder = "Descending"
)

Enum values for CodeRepositorySortOrder

func (CodeRepositorySortOrder) MarshalValue added in v0.6.0 

func (enum CodeRepositorySortOrder) MarshalValue() (string, error)

func (CodeRepositorySortOrder) MarshalValueBuf added in v0.6.0 

func (enum CodeRepositorySortOrder) MarshalValueBuf(b []byte) ([]byte, error)

type CodeRepositorySummary added in v0.6.0 

type CodeRepositorySummary struct {

	// The Amazon Resource Name (ARN) of the Git repository.
	//
	// CodeRepositoryArn is a required field
	CodeRepositoryArn *string `min:"1" type:"string" required:"true"`

	// The name of the Git repository.
	//
	// CodeRepositoryName is a required field
	CodeRepositoryName *string `min:"1" type:"string" required:"true"`

	// The date and time that the Git repository was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// Configuration details for the Git repository, including the URL where it
	// is located and the ARN of the AWS Secrets Manager secret that contains the
	// credentials used to access the repository.
	GitConfig *GitConfig `type:"structure"`

	// The date and time that the Git repository was last modified.
	//
	// LastModifiedTime is a required field
	LastModifiedTime *time.Time `type:"timestamp" required:"true"`
	// contains filtered or unexported fields
}

Specifies summary information about a Git repository.

func (CodeRepositorySummary) String added in v0.6.0 

func (s CodeRepositorySummary) String() string

String returns the string representation

type CognitoMemberDefinition added in v0.6.0 

type CognitoMemberDefinition struct {

	// An identifier for an application client. You must create the app client ID
	// using Amazon Cognito.
	//
	// ClientId is a required field
	ClientId *string `min:"1" type:"string" required:"true"`

	// An identifier for a user group.
	//
	// UserGroup is a required field
	UserGroup *string `min:"1" type:"string" required:"true"`

	// An identifier for a user pool. The user pool must be in the same region as
	// the service that you are calling.
	//
	// UserPool is a required field
	UserPool *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

Identifies a Amazon Cognito user group. A user group can be used in on or more work teams.

func (CognitoMemberDefinition) String added in v0.6.0 

func (s CognitoMemberDefinition) String() string

String returns the string representation

func (*CognitoMemberDefinition) Validate added in v0.6.0 

func (s *CognitoMemberDefinition) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CollectionConfiguration added in v0.18.0 

type CollectionConfiguration struct {

	// The name of the tensor collection. The name must be unique relative to other
	// rule configuration names.
	CollectionName *string `min:"1" type:"string"`

	// Parameter values for the tensor collection. The allowed parameters are "name",
	// "include_regex", "reduction_config", "save_config", "tensor_names", and "save_histogram".
	CollectionParameters map[string]string `type:"map"`
	// contains filtered or unexported fields
}

Configuration information for tensor collections.

func (CollectionConfiguration) String added in v0.18.0 

func (s CollectionConfiguration) String() string

String returns the string representation

func (*CollectionConfiguration) Validate added in v0.18.0 

func (s *CollectionConfiguration) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CompilationJobStatus added in v0.6.0 

type CompilationJobStatus string
const (
	CompilationJobStatusInprogress CompilationJobStatus = "INPROGRESS"
	CompilationJobStatusCompleted  CompilationJobStatus = "COMPLETED"
	CompilationJobStatusFailed     CompilationJobStatus = "FAILED"
	CompilationJobStatusStarting   CompilationJobStatus = "STARTING"
	CompilationJobStatusStopping   CompilationJobStatus = "STOPPING"
	CompilationJobStatusStopped    CompilationJobStatus = "STOPPED"
)

Enum values for CompilationJobStatus

func (CompilationJobStatus) MarshalValue added in v0.6.0 

func (enum CompilationJobStatus) MarshalValue() (string, error)

func (CompilationJobStatus) MarshalValueBuf added in v0.6.0 

func (enum CompilationJobStatus) MarshalValueBuf(b []byte) ([]byte, error)

type CompilationJobSummary added in v0.6.0 

type CompilationJobSummary struct {

	// The time when the model compilation job completed.
	CompilationEndTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the model compilation job.
	//
	// CompilationJobArn is a required field
	CompilationJobArn *string `type:"string" required:"true"`

	// The name of the model compilation job that you want a summary for.
	//
	// CompilationJobName is a required field
	CompilationJobName *string `min:"1" type:"string" required:"true"`

	// The status of the model compilation job.
	//
	// CompilationJobStatus is a required field
	CompilationJobStatus CompilationJobStatus `type:"string" required:"true" enum:"true"`

	// The time when the model compilation job started.
	CompilationStartTime *time.Time `type:"timestamp"`

	// The type of device that the model will run on after compilation has completed.
	//
	// CompilationTargetDevice is a required field
	CompilationTargetDevice TargetDevice `type:"string" required:"true" enum:"true"`

	// The time when the model compilation job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The time when the model compilation job was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`
	// contains filtered or unexported fields
}

A summary of a model compilation job.

func (CompilationJobSummary) String added in v0.6.0 

func (s CompilationJobSummary) String() string

String returns the string representation

type CompressionType 

type CompressionType string
const (
	CompressionTypeNone CompressionType = "None"
	CompressionTypeGzip CompressionType = "Gzip"
)

Enum values for CompressionType

func (CompressionType) MarshalValue added in v0.3.0 

func (enum CompressionType) MarshalValue() (string, error)

func (CompressionType) MarshalValueBuf added in v0.3.0 

func (enum CompressionType) MarshalValueBuf(b []byte) ([]byte, error)

type ContainerDefinition 

type ContainerDefinition struct {

	// This parameter is ignored for models that contain only a PrimaryContainer.
	//
	// When a ContainerDefinition is part of an inference pipeline, the value of
	// the parameter uniquely identifies the container for the purposes of logging
	// and metrics. For information, see Use Logs and Metrics to Monitor an Inference
	// Pipeline (https://docs.aws.amazon.com/sagemaker/latest/dg/inference-pipeline-logs-metrics.html).
	// If you don't specify a value for this parameter for a ContainerDefinition
	// that is part of an inference pipeline, a unique name is automatically assigned
	// based on the position of the ContainerDefinition in the pipeline. If you
	// specify a value for the ContainerHostName for any ContainerDefinition that
	// is part of an inference pipeline, you must specify a value for the ContainerHostName
	// parameter of every ContainerDefinition in that pipeline.
	ContainerHostname *string `type:"string"`

	// The environment variables to set in the Docker container. Each key and value
	// in the Environment string to string map can have length of up to 1024. We
	// support up to 16 entries in the map.
	Environment map[string]string `type:"map"`

	// The Amazon EC2 Container Registry (Amazon ECR) path where inference code
	// is stored. If you are using your own custom algorithm instead of an algorithm
	// provided by Amazon SageMaker, the inference code must meet Amazon SageMaker
	// requirements. Amazon SageMaker supports both registry/repository[:tag] and
	// registry/repository[@digest] image path formats. For more information, see
	// Using Your Own Algorithms with Amazon SageMaker (https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms.html)
	Image *string `type:"string"`

	// Whether the container hosts a single model or multiple models.
	Mode ContainerMode `type:"string" enum:"true"`

	// The S3 path where the model artifacts, which result from model training,
	// are stored. This path must point to a single gzip compressed tar archive
	// (.tar.gz suffix). The S3 path is required for Amazon SageMaker built-in algorithms,
	// but not if you use your own algorithms. For more information on built-in
	// algorithms, see Common Parameters (https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-algo-docker-registry-paths.html).
	//
	// If you provide a value for this parameter, Amazon SageMaker uses AWS Security
	// Token Service to download model artifacts from the S3 path you provide. AWS
	// STS is activated in your IAM user account by default. If you previously deactivated
	// AWS STS for a region, you need to reactivate AWS STS for that region. For
	// more information, see Activating and Deactivating AWS STS in an AWS Region
	// (https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_temp_enable-regions.html)
	// in the AWS Identity and Access Management User Guide.
	//
	// If you use a built-in algorithm to create a model, Amazon SageMaker requires
	// that you provide a S3 path to the model artifacts in ModelDataUrl.
	ModelDataUrl *string `type:"string"`

	// The name or Amazon Resource Name (ARN) of the model package to use to create
	// the model.
	ModelPackageName *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

Describes the container, as part of model definition.

func (ContainerDefinition) String 

func (s ContainerDefinition) String() string

String returns the string representation

func (*ContainerDefinition) Validate 

func (s *ContainerDefinition) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ContainerMode added in v0.17.0 

type ContainerMode string
const (
	ContainerModeSingleModel ContainerMode = "SingleModel"
	ContainerModeMultiModel  ContainerMode = "MultiModel"
)

Enum values for ContainerMode

func (ContainerMode) MarshalValue added in v0.17.0 

func (enum ContainerMode) MarshalValue() (string, error)

func (ContainerMode) MarshalValueBuf added in v0.17.0 

func (enum ContainerMode) MarshalValueBuf(b []byte) ([]byte, error)

type ContentClassifier added in v0.6.0 

type ContentClassifier string
const (
	ContentClassifierFreeOfPersonallyIdentifiableInformation ContentClassifier = "FreeOfPersonallyIdentifiableInformation"
	ContentClassifierFreeOfAdultContent                      ContentClassifier = "FreeOfAdultContent"
)

Enum values for ContentClassifier

func (ContentClassifier) MarshalValue added in v0.6.0 

func (enum ContentClassifier) MarshalValue() (string, error)

func (ContentClassifier) MarshalValueBuf added in v0.6.0 

func (enum ContentClassifier) MarshalValueBuf(b []byte) ([]byte, error)

type ContinuousParameterRange added in v0.5.0 

type ContinuousParameterRange struct {

	// The maximum value for the hyperparameter. The tuning job uses floating-point
	// values between MinValue value and this value for tuning.
	//
	// MaxValue is a required field
	MaxValue *string `type:"string" required:"true"`

	// The minimum value for the hyperparameter. The tuning job uses floating-point
	// values between this value and MaxValuefor tuning.
	//
	// MinValue is a required field
	MinValue *string `type:"string" required:"true"`

	// The name of the continuous hyperparameter to tune.
	//
	// Name is a required field
	Name *string `type:"string" required:"true"`

	// The scale that hyperparameter tuning uses to search the hyperparameter range.
	// For information about choosing a hyperparameter scale, see Hyperparameter
	// Scaling (https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-ranges.html#scaling-type).
	// One of the following values:
	//
	// Auto
	//
	// Amazon SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
	//
	// Linear
	//
	// Hyperparameter tuning searches the values in the hyperparameter range by
	// using a linear scale.
	//
	// Logarithmic
	//
	// Hyperparameter tuning searches the values in the hyperparameter range by
	// using a logarithmic scale.
	//
	// Logarithmic scaling works only for ranges that have only values greater than
	// 0.
	//
	// ReverseLogarithmic
	//
	// Hyperparameter tuning searches the values in the hyperparameter range by
	// using a reverse logarithmic scale.
	//
	// Reverse logarithmic scaling works only for ranges that are entirely within
	// the range 0<=x<1.0.
	ScalingType HyperParameterScalingType `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

A list of continuous hyperparameters to tune.

func (ContinuousParameterRange) String added in v0.5.0 

func (s ContinuousParameterRange) String() string

String returns the string representation

func (*ContinuousParameterRange) Validate added in v0.5.0 

func (s *ContinuousParameterRange) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ContinuousParameterRangeSpecification added in v0.6.0 

type ContinuousParameterRangeSpecification struct {

	// The maximum floating-point value allowed.
	//
	// MaxValue is a required field
	MaxValue *string `type:"string" required:"true"`

	// The minimum floating-point value allowed.
	//
	// MinValue is a required field
	MinValue *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Defines the possible values for a continuous hyperparameter.

func (ContinuousParameterRangeSpecification) String added in v0.6.0 

func (s ContinuousParameterRangeSpecification) String() string

String returns the string representation

func (*ContinuousParameterRangeSpecification) Validate added in v0.6.0 

func (s *ContinuousParameterRangeSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateAlgorithmInput added in v0.6.0 

type CreateAlgorithmInput struct {

	// A description of the algorithm.
	AlgorithmDescription *string `type:"string"`

	// The name of the algorithm.
	//
	// AlgorithmName is a required field
	AlgorithmName *string `min:"1" type:"string" required:"true"`

	// Whether to certify the algorithm so that it can be listed in AWS Marketplace.
	CertifyForMarketplace *bool `type:"boolean"`

	// Specifies details about inference jobs that the algorithm runs, including
	// the following:
	//
	//    * The Amazon ECR paths of containers that contain the inference code and
	//    model artifacts.
	//
	//    * The instance types that the algorithm supports for transform jobs and
	//    real-time endpoints used for inference.
	//
	//    * The input and output content formats that the algorithm supports for
	//    inference.
	InferenceSpecification *InferenceSpecification `type:"structure"`

	// Specifies details about training jobs run by this algorithm, including the
	// following:
	//
	//    * The Amazon ECR path of the container and the version digest of the algorithm.
	//
	//    * The hyperparameters that the algorithm supports.
	//
	//    * The instance types that the algorithm supports for training.
	//
	//    * Whether the algorithm supports distributed training.
	//
	//    * The metrics that the algorithm emits to Amazon CloudWatch.
	//
	//    * Which metrics that the algorithm emits can be used as the objective
	//    metric for hyperparameter tuning jobs.
	//
	//    * The input channels that the algorithm supports for training data. For
	//    example, an algorithm might support train, validation, and test channels.
	//
	// TrainingSpecification is a required field
	TrainingSpecification *TrainingSpecification `type:"structure" required:"true"`

	// Specifies configurations for one or more training jobs and that Amazon SageMaker
	// runs to test the algorithm's training code and, optionally, one or more batch
	// transform jobs that Amazon SageMaker runs to test the algorithm's inference
	// code.
	ValidationSpecification *AlgorithmValidationSpecification `type:"structure"`
	// contains filtered or unexported fields
}

func (CreateAlgorithmInput) String added in v0.6.0 

func (s CreateAlgorithmInput) String() string

String returns the string representation

func (*CreateAlgorithmInput) Validate added in v0.6.0 

func (s *CreateAlgorithmInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateAlgorithmOutput added in v0.6.0 

type CreateAlgorithmOutput struct {

	// The Amazon Resource Name (ARN) of the new algorithm.
	//
	// AlgorithmArn is a required field
	AlgorithmArn *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateAlgorithmOutput) String added in v0.6.0 

func (s CreateAlgorithmOutput) String() string

String returns the string representation

type CreateAlgorithmRequest added in v0.6.0 

type CreateAlgorithmRequest struct {
	*aws.Request
	Input *CreateAlgorithmInput
	Copy  func(*CreateAlgorithmInput) CreateAlgorithmRequest
}

CreateAlgorithmRequest is the request type for the CreateAlgorithm API operation.

func (CreateAlgorithmRequest) Send added in v0.6.0 

func (r CreateAlgorithmRequest) Send(ctx context.Context) (*CreateAlgorithmResponse, error)

Send marshals and sends the CreateAlgorithm API request.

type CreateAlgorithmResponse added in v0.9.0 

type CreateAlgorithmResponse struct {
	*CreateAlgorithmOutput
	// contains filtered or unexported fields
}

CreateAlgorithmResponse is the response type for the CreateAlgorithm API operation.

func (*CreateAlgorithmResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateAlgorithmResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateAlgorithm request.

type CreateAppInput added in v0.18.0 

type CreateAppInput struct {

	// The name of the app.
	//
	// AppName is a required field
	AppName *string `type:"string" required:"true"`

	// The type of app.
	//
	// AppType is a required field
	AppType AppType `type:"string" required:"true" enum:"true"`

	// The domain ID.
	//
	// DomainId is a required field
	DomainId *string `type:"string" required:"true"`

	// The instance type and the Amazon Resource Name (ARN) of the SageMaker image
	// created on the instance.
	ResourceSpec *ResourceSpec `type:"structure"`

	// Each tag consists of a key and an optional value. Tag keys must be unique
	// per resource.
	Tags []Tag `type:"list"`

	// The user profile name.
	//
	// UserProfileName is a required field
	UserProfileName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateAppInput) String added in v0.18.0 

func (s CreateAppInput) String() string

String returns the string representation

func (*CreateAppInput) Validate added in v0.18.0 

func (s *CreateAppInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateAppOutput added in v0.18.0 

type CreateAppOutput struct {

	// The App's Amazon Resource Name (ARN).
	AppArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (CreateAppOutput) String added in v0.18.0 

func (s CreateAppOutput) String() string

String returns the string representation

type CreateAppRequest added in v0.18.0 

type CreateAppRequest struct {
	*aws.Request
	Input *CreateAppInput
	Copy  func(*CreateAppInput) CreateAppRequest
}

CreateAppRequest is the request type for the CreateApp API operation.

func (CreateAppRequest) Send added in v0.18.0 

func (r CreateAppRequest) Send(ctx context.Context) (*CreateAppResponse, error)

Send marshals and sends the CreateApp API request.

type CreateAppResponse added in v0.18.0 

type CreateAppResponse struct {
	*CreateAppOutput
	// contains filtered or unexported fields
}

CreateAppResponse is the response type for the CreateApp API operation.

func (*CreateAppResponse) SDKResponseMetdata added in v0.18.0 

func (r *CreateAppResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateApp request.

type CreateAutoMLJobInput added in v0.18.0 

type CreateAutoMLJobInput struct {

	// Contains CompletionCriteria and SecurityConfig.
	AutoMLJobConfig *AutoMLJobConfig `type:"structure"`

	// Identifies an AutoPilot job. Must be unique to your account and is case-insensitive.
	//
	// AutoMLJobName is a required field
	AutoMLJobName *string `min:"1" type:"string" required:"true"`

	// Defines the job's objective. You provide a MetricName and AutoML will infer
	// minimize or maximize. If this is not provided, the most commonly used ObjectiveMetric
	// for problem type will be selected.
	AutoMLJobObjective *AutoMLJobObjective `type:"structure"`

	// This will generate possible candidates without training a model. A candidate
	// is a combination of data preprocessors, algorithms, and algorithm parameter
	// settings.
	GenerateCandidateDefinitionsOnly *bool `type:"boolean"`

	// Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV.
	// Minimum of 1000 rows.
	//
	// InputDataConfig is a required field
	InputDataConfig []AutoMLChannel `min:"1" type:"list" required:"true"`

	// Similar to OutputDataConfig supported by Tuning. Format(s) supported: CSV.
	//
	// OutputDataConfig is a required field
	OutputDataConfig *AutoMLOutputDataConfig `type:"structure" required:"true"`

	// Defines the kind of preprocessing and algorithms intended for the candidates.
	// Options include: BinaryClassification, MulticlassClassification, and Regression.
	ProblemType ProblemType `type:"string" enum:"true"`

	// The ARN of the role that will be used to access the data.
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"true"`

	// Each tag consists of a key and an optional value. Tag keys must be unique
	// per resource.
	Tags []Tag `type:"list"`
	// contains filtered or unexported fields
}

func (CreateAutoMLJobInput) String added in v0.18.0 

func (s CreateAutoMLJobInput) String() string

String returns the string representation

func (*CreateAutoMLJobInput) Validate added in v0.18.0 

func (s *CreateAutoMLJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateAutoMLJobOutput added in v0.18.0 

type CreateAutoMLJobOutput struct {

	// When a job is created, it is assigned a unique ARN.
	//
	// AutoMLJobArn is a required field
	AutoMLJobArn *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateAutoMLJobOutput) String added in v0.18.0 

func (s CreateAutoMLJobOutput) String() string

String returns the string representation

type CreateAutoMLJobRequest added in v0.18.0 

type CreateAutoMLJobRequest struct {
	*aws.Request
	Input *CreateAutoMLJobInput
	Copy  func(*CreateAutoMLJobInput) CreateAutoMLJobRequest
}

CreateAutoMLJobRequest is the request type for the CreateAutoMLJob API operation.

func (CreateAutoMLJobRequest) Send added in v0.18.0 

func (r CreateAutoMLJobRequest) Send(ctx context.Context) (*CreateAutoMLJobResponse, error)

Send marshals and sends the CreateAutoMLJob API request.

type CreateAutoMLJobResponse added in v0.18.0 

type CreateAutoMLJobResponse struct {
	*CreateAutoMLJobOutput
	// contains filtered or unexported fields
}

CreateAutoMLJobResponse is the response type for the CreateAutoMLJob API operation.

func (*CreateAutoMLJobResponse) SDKResponseMetdata added in v0.18.0 

func (r *CreateAutoMLJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateAutoMLJob request.

type CreateCodeRepositoryInput added in v0.6.0 

type CreateCodeRepositoryInput struct {

	// The name of the Git repository. The name must have 1 to 63 characters. Valid
	// characters are a-z, A-Z, 0-9, and - (hyphen).
	//
	// CodeRepositoryName is a required field
	CodeRepositoryName *string `min:"1" type:"string" required:"true"`

	// Specifies details about the repository, including the URL where the repository
	// is located, the default branch, and credentials to use to access the repository.
	//
	// GitConfig is a required field
	GitConfig *GitConfig `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

func (CreateCodeRepositoryInput) String added in v0.6.0 

func (s CreateCodeRepositoryInput) String() string

String returns the string representation

func (*CreateCodeRepositoryInput) Validate added in v0.6.0 

func (s *CreateCodeRepositoryInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateCodeRepositoryOutput added in v0.6.0 

type CreateCodeRepositoryOutput struct {

	// The Amazon Resource Name (ARN) of the new repository.
	//
	// CodeRepositoryArn is a required field
	CodeRepositoryArn *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateCodeRepositoryOutput) String added in v0.6.0 

func (s CreateCodeRepositoryOutput) String() string

String returns the string representation

type CreateCodeRepositoryRequest added in v0.6.0 

type CreateCodeRepositoryRequest struct {
	*aws.Request
	Input *CreateCodeRepositoryInput
	Copy  func(*CreateCodeRepositoryInput) CreateCodeRepositoryRequest
}

CreateCodeRepositoryRequest is the request type for the CreateCodeRepository API operation.

func (CreateCodeRepositoryRequest) Send added in v0.6.0 

func (r CreateCodeRepositoryRequest) Send(ctx context.Context) (*CreateCodeRepositoryResponse, error)

Send marshals and sends the CreateCodeRepository API request.

type CreateCodeRepositoryResponse added in v0.9.0 

type CreateCodeRepositoryResponse struct {
	*CreateCodeRepositoryOutput
	// contains filtered or unexported fields
}

CreateCodeRepositoryResponse is the response type for the CreateCodeRepository API operation.

func (*CreateCodeRepositoryResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateCodeRepositoryResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateCodeRepository request.

type CreateCompilationJobInput added in v0.6.0 

type CreateCompilationJobInput struct {

	// A name for the model compilation job. The name must be unique within the
	// AWS Region and within your AWS account.
	//
	// CompilationJobName is a required field
	CompilationJobName *string `min:"1" type:"string" required:"true"`

	// Provides information about the location of input model artifacts, the name
	// and shape of the expected data inputs, and the framework in which the model
	// was trained.
	//
	// InputConfig is a required field
	InputConfig *InputConfig `type:"structure" required:"true"`

	// Provides information about the output location for the compiled model and
	// the target device the model runs on.
	//
	// OutputConfig is a required field
	OutputConfig *OutputConfig `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker
	// to perform tasks on your behalf.
	//
	// During model compilation, Amazon SageMaker needs your permission to:
	//
	//    * Read input data from an S3 bucket
	//
	//    * Write model artifacts to an S3 bucket
	//
	//    * Write logs to Amazon CloudWatch Logs
	//
	//    * Publish metrics to Amazon CloudWatch
	//
	// You grant permissions for all of these tasks to an IAM role. To pass this
	// role to Amazon SageMaker, the caller of this API must have the iam:PassRole
	// permission. For more information, see Amazon SageMaker Roles. (https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html)
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"true"`

	// Specifies a limit to how long a model compilation job can run. When the job
	// reaches the time limit, Amazon SageMaker ends the compilation job. Use this
	// API to cap model training costs.
	//
	// StoppingCondition is a required field
	StoppingCondition *StoppingCondition `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

func (CreateCompilationJobInput) String added in v0.6.0 

func (s CreateCompilationJobInput) String() string

String returns the string representation

func (*CreateCompilationJobInput) Validate added in v0.6.0 

func (s *CreateCompilationJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateCompilationJobOutput added in v0.6.0 

type CreateCompilationJobOutput struct {

	// If the action is successful, the service sends back an HTTP 200 response.
	// Amazon SageMaker returns the following data in JSON format:
	//
	//    * CompilationJobArn: The Amazon Resource Name (ARN) of the compiled job.
	//
	// CompilationJobArn is a required field
	CompilationJobArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateCompilationJobOutput) String added in v0.6.0 

func (s CreateCompilationJobOutput) String() string

String returns the string representation

type CreateCompilationJobRequest added in v0.6.0 

type CreateCompilationJobRequest struct {
	*aws.Request
	Input *CreateCompilationJobInput
	Copy  func(*CreateCompilationJobInput) CreateCompilationJobRequest
}

CreateCompilationJobRequest is the request type for the CreateCompilationJob API operation.

func (CreateCompilationJobRequest) Send added in v0.6.0 

func (r CreateCompilationJobRequest) Send(ctx context.Context) (*CreateCompilationJobResponse, error)

Send marshals and sends the CreateCompilationJob API request.

type CreateCompilationJobResponse added in v0.9.0 

type CreateCompilationJobResponse struct {
	*CreateCompilationJobOutput
	// contains filtered or unexported fields
}

CreateCompilationJobResponse is the response type for the CreateCompilationJob API operation.

func (*CreateCompilationJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateCompilationJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateCompilationJob request.

type CreateDomainInput added in v0.18.0 

type CreateDomainInput struct {

	// The mode of authentication that members use to access the domain.
	//
	// AuthMode is a required field
	AuthMode AuthMode `type:"string" required:"true" enum:"true"`

	// The default user settings.
	//
	// DefaultUserSettings is a required field
	DefaultUserSettings *UserSettings `type:"structure" required:"true"`

	// A name for the domain.
	//
	// DomainName is a required field
	DomainName *string `type:"string" required:"true"`

	// The AWS Key Management Service (KMS) encryption key ID. Encryption with a
	// customer master key (CMK) is not supported.
	HomeEfsFileSystemKmsKeyId *string `type:"string"`

	// The VPC subnets to use for communication with the EFS volume.
	//
	// SubnetIds is a required field
	SubnetIds []string `min:"1" type:"list" required:"true"`

	// Tags to associated with the Domain. Each tag consists of a key and an optional
	// value. Tag keys must be unique per resource. Tags are searchable using the
	// Search API.
	Tags []Tag `type:"list"`

	// The ID of the Amazon Virtual Private Cloud (VPC) to use for communication
	// with the EFS volume.
	//
	// VpcId is a required field
	VpcId *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateDomainInput) String added in v0.18.0 

func (s CreateDomainInput) String() string

String returns the string representation

func (*CreateDomainInput) Validate added in v0.18.0 

func (s *CreateDomainInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateDomainOutput added in v0.18.0 

type CreateDomainOutput struct {

	// The Amazon Resource Name (ARN) of the created domain.
	DomainArn *string `type:"string"`

	// The URL to the created domain.
	Url *string `type:"string"`
	// contains filtered or unexported fields
}

func (CreateDomainOutput) String added in v0.18.0 

func (s CreateDomainOutput) String() string

String returns the string representation

type CreateDomainRequest added in v0.18.0 

type CreateDomainRequest struct {
	*aws.Request
	Input *CreateDomainInput
	Copy  func(*CreateDomainInput) CreateDomainRequest
}

CreateDomainRequest is the request type for the CreateDomain API operation.

func (CreateDomainRequest) Send added in v0.18.0 

func (r CreateDomainRequest) Send(ctx context.Context) (*CreateDomainResponse, error)

Send marshals and sends the CreateDomain API request.

type CreateDomainResponse added in v0.18.0 

type CreateDomainResponse struct {
	*CreateDomainOutput
	// contains filtered or unexported fields
}

CreateDomainResponse is the response type for the CreateDomain API operation.

func (*CreateDomainResponse) SDKResponseMetdata added in v0.18.0 

func (r *CreateDomainResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateDomain request.

type CreateEndpointConfigInput 

type CreateEndpointConfigInput struct {
	DataCaptureConfig *DataCaptureConfig `type:"structure"`

	// The name of the endpoint configuration. You specify this name in a CreateEndpoint
	// request.
	//
	// EndpointConfigName is a required field
	EndpointConfigName *string `type:"string" required:"true"`

	// The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon
	// SageMaker uses to encrypt data on the storage volume attached to the ML compute
	// instance that hosts the endpoint.
	//
	// The KmsKeyId can be any of the following formats:
	//
	//    * Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
	//
	//    * Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
	//
	//    * Alias name: alias/ExampleAlias
	//
	//    * Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
	//
	// The KMS key policy must grant permission to the IAM role that you specify
	// in your CreateEndpoint, UpdateEndpoint requests. For more information, refer
	// to the AWS Key Management Service section Using Key Policies in AWS KMS (https://docs.aws.amazon.com/kms/latest/developerguide/key-policies.html)
	//
	// Certain Nitro-based instances include local storage, dependent on the instance
	// type. Local storage volumes are encrypted using a hardware module on the
	// instance. You can't request a KmsKeyId when using an instance type with local
	// storage. If any of the models that you specify in the ProductionVariants
	// parameter use nitro-based instances with local storage, do not specify a
	// value for the KmsKeyId parameter. If you specify a value for KmsKeyId when
	// using any nitro-based instances with local storage, the call to CreateEndpointConfig
	// fails.
	//
	// For a list of instance types that support local instance storage, see Instance
	// Store Volumes (https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/InstanceStorage.html#instance-store-volumes).
	//
	// For more information about local instance storage encryption, see SSD Instance
	// Store Volumes (https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ssd-instance-store.html).
	KmsKeyId *string `type:"string"`

	// An list of ProductionVariant objects, one for each model that you want to
	// host at this endpoint.
	//
	// ProductionVariants is a required field
	ProductionVariants []ProductionVariant `min:"1" type:"list" required:"true"`

	// A list of key-value pairs. For more information, see Using Cost Allocation
	// Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what)
	// in the AWS Billing and Cost Management User Guide.
	Tags []Tag `type:"list"`
	// contains filtered or unexported fields
}

func (CreateEndpointConfigInput) String 

func (s CreateEndpointConfigInput) String() string

String returns the string representation

func (*CreateEndpointConfigInput) Validate 

func (s *CreateEndpointConfigInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateEndpointConfigOutput 

type CreateEndpointConfigOutput struct {

	// The Amazon Resource Name (ARN) of the endpoint configuration.
	//
	// EndpointConfigArn is a required field
	EndpointConfigArn *string `min:"20" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateEndpointConfigOutput) String 

func (s CreateEndpointConfigOutput) String() string

String returns the string representation

type CreateEndpointConfigRequest 

type CreateEndpointConfigRequest struct {
	*aws.Request
	Input *CreateEndpointConfigInput
	Copy  func(*CreateEndpointConfigInput) CreateEndpointConfigRequest
}

CreateEndpointConfigRequest is the request type for the CreateEndpointConfig API operation.

func (CreateEndpointConfigRequest) Send 

func (r CreateEndpointConfigRequest) Send(ctx context.Context) (*CreateEndpointConfigResponse, error)

Send marshals and sends the CreateEndpointConfig API request.

type CreateEndpointConfigResponse added in v0.9.0 

type CreateEndpointConfigResponse struct {
	*CreateEndpointConfigOutput
	// contains filtered or unexported fields
}

CreateEndpointConfigResponse is the response type for the CreateEndpointConfig API operation.

func (*CreateEndpointConfigResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateEndpointConfigResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateEndpointConfig request.

type CreateEndpointInput 

type CreateEndpointInput struct {

	// The name of an endpoint configuration. For more information, see CreateEndpointConfig.
	//
	// EndpointConfigName is a required field
	EndpointConfigName *string `type:"string" required:"true"`

	// The name of the endpoint. The name must be unique within an AWS Region in
	// your AWS account.
	//
	// EndpointName is a required field
	EndpointName *string `type:"string" required:"true"`

	// An array of key-value pairs. For more information, see Using Cost Allocation
	// Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what)in
	// the AWS Billing and Cost Management User Guide.
	Tags []Tag `type:"list"`
	// contains filtered or unexported fields
}

func (CreateEndpointInput) String 

func (s CreateEndpointInput) String() string

String returns the string representation

func (*CreateEndpointInput) Validate 

func (s *CreateEndpointInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateEndpointOutput 

type CreateEndpointOutput struct {

	// The Amazon Resource Name (ARN) of the endpoint.
	//
	// EndpointArn is a required field
	EndpointArn *string `min:"20" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateEndpointOutput) String 

func (s CreateEndpointOutput) String() string

String returns the string representation

type CreateEndpointRequest 

type CreateEndpointRequest struct {
	*aws.Request
	Input *CreateEndpointInput
	Copy  func(*CreateEndpointInput) CreateEndpointRequest
}

CreateEndpointRequest is the request type for the CreateEndpoint API operation.

func (CreateEndpointRequest) Send 

func (r CreateEndpointRequest) Send(ctx context.Context) (*CreateEndpointResponse, error)

Send marshals and sends the CreateEndpoint API request.

type CreateEndpointResponse added in v0.9.0 

type CreateEndpointResponse struct {
	*CreateEndpointOutput
	// contains filtered or unexported fields
}

CreateEndpointResponse is the response type for the CreateEndpoint API operation.

func (*CreateEndpointResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateEndpointResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateEndpoint request.

type CreateExperimentInput added in v0.18.0 

type CreateExperimentInput struct {

	// The description of the experiment.
	Description *string `type:"string"`

	// The name of the experiment as displayed. The name doesn't need to be unique.
	// If you don't specify DisplayName, the value in ExperimentName is displayed.
	DisplayName *string `min:"1" type:"string"`

	// The name of the experiment. The name must be unique in your AWS account and
	// is not case-sensitive.
	//
	// ExperimentName is a required field
	ExperimentName *string `min:"1" type:"string" required:"true"`

	// A list of tags to associate with the experiment. You can use Search API to
	// search on the tags.
	Tags []Tag `type:"list"`
	// contains filtered or unexported fields
}

func (CreateExperimentInput) String added in v0.18.0 

func (s CreateExperimentInput) String() string

String returns the string representation

func (*CreateExperimentInput) Validate added in v0.18.0 

func (s *CreateExperimentInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateExperimentOutput added in v0.18.0 

type CreateExperimentOutput struct {

	// The Amazon Resource Name (ARN) of the experiment.
	ExperimentArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (CreateExperimentOutput) String added in v0.18.0 

func (s CreateExperimentOutput) String() string

String returns the string representation

type CreateExperimentRequest added in v0.18.0 

type CreateExperimentRequest struct {
	*aws.Request
	Input *CreateExperimentInput
	Copy  func(*CreateExperimentInput) CreateExperimentRequest
}

CreateExperimentRequest is the request type for the CreateExperiment API operation.

func (CreateExperimentRequest) Send added in v0.18.0 

func (r CreateExperimentRequest) Send(ctx context.Context) (*CreateExperimentResponse, error)

Send marshals and sends the CreateExperiment API request.

type CreateExperimentResponse added in v0.18.0 

type CreateExperimentResponse struct {
	*CreateExperimentOutput
	// contains filtered or unexported fields
}

CreateExperimentResponse is the response type for the CreateExperiment API operation.

func (*CreateExperimentResponse) SDKResponseMetdata added in v0.18.0 

func (r *CreateExperimentResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateExperiment request.

type CreateFlowDefinitionInput added in v0.18.0 

type CreateFlowDefinitionInput struct {

	// The name of your flow definition.
	//
	// FlowDefinitionName is a required field
	FlowDefinitionName *string `min:"1" type:"string" required:"true"`

	// An object containing information about the events that trigger a human workflow.
	HumanLoopActivationConfig *HumanLoopActivationConfig `type:"structure"`

	// An object containing information about the tasks the human reviewers will
	// perform.
	//
	// HumanLoopConfig is a required field
	HumanLoopConfig *HumanLoopConfig `type:"structure" required:"true"`

	// Container for configuring the source of human task requests. Use to specify
	// if Amazon Rekognition or Amazon Textract is used as an integration source.
	HumanLoopRequestSource *HumanLoopRequestSource `type:"structure"`

	// An object containing information about where the human review results will
	// be uploaded.
	//
	// OutputConfig is a required field
	OutputConfig *FlowDefinitionOutputConfig `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) of the role needed to call other services
	// on your behalf. For example, arn:aws:iam::1234567890:role/service-role/AmazonSageMaker-ExecutionRole-20180111T151298.
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"true"`

	// An array of key-value pairs that contain metadata to help you categorize
	// and organize a flow definition. Each tag consists of a key and a value, both
	// of which you define.
	Tags []Tag `type:"list"`
	// contains filtered or unexported fields
}

func (CreateFlowDefinitionInput) String added in v0.18.0 

func (s CreateFlowDefinitionInput) String() string

String returns the string representation

func (*CreateFlowDefinitionInput) Validate added in v0.18.0 

func (s *CreateFlowDefinitionInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateFlowDefinitionOutput added in v0.18.0 

type CreateFlowDefinitionOutput struct {

	// The Amazon Resource Name (ARN) of the flow definition you create.
	//
	// FlowDefinitionArn is a required field
	FlowDefinitionArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateFlowDefinitionOutput) String added in v0.18.0 

func (s CreateFlowDefinitionOutput) String() string

String returns the string representation

type CreateFlowDefinitionRequest added in v0.18.0 

type CreateFlowDefinitionRequest struct {
	*aws.Request
	Input *CreateFlowDefinitionInput
	Copy  func(*CreateFlowDefinitionInput) CreateFlowDefinitionRequest
}

CreateFlowDefinitionRequest is the request type for the CreateFlowDefinition API operation.

func (CreateFlowDefinitionRequest) Send added in v0.18.0 

func (r CreateFlowDefinitionRequest) Send(ctx context.Context) (*CreateFlowDefinitionResponse, error)

Send marshals and sends the CreateFlowDefinition API request.

type CreateFlowDefinitionResponse added in v0.18.0 

type CreateFlowDefinitionResponse struct {
	*CreateFlowDefinitionOutput
	// contains filtered or unexported fields
}

CreateFlowDefinitionResponse is the response type for the CreateFlowDefinition API operation.

func (*CreateFlowDefinitionResponse) SDKResponseMetdata added in v0.18.0 

func (r *CreateFlowDefinitionResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateFlowDefinition request.

type CreateHumanTaskUiInput added in v0.18.0 

type CreateHumanTaskUiInput struct {

	// The name of the user interface you are creating.
	//
	// HumanTaskUiName is a required field
	HumanTaskUiName *string `min:"1" type:"string" required:"true"`

	// An array of key-value pairs that contain metadata to help you categorize
	// and organize a human review workflow user interface. Each tag consists of
	// a key and a value, both of which you define.
	Tags []Tag `type:"list"`

	// The Liquid template for the worker user interface.
	//
	// UiTemplate is a required field
	UiTemplate *UiTemplate `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

func (CreateHumanTaskUiInput) String added in v0.18.0 

func (s CreateHumanTaskUiInput) String() string

String returns the string representation

func (*CreateHumanTaskUiInput) Validate added in v0.18.0 

func (s *CreateHumanTaskUiInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateHumanTaskUiOutput added in v0.18.0 

type CreateHumanTaskUiOutput struct {

	// The Amazon Resource Name (ARN) of the human review workflow user interface
	// you create.
	//
	// HumanTaskUiArn is a required field
	HumanTaskUiArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateHumanTaskUiOutput) String added in v0.18.0 

func (s CreateHumanTaskUiOutput) String() string

String returns the string representation

type CreateHumanTaskUiRequest added in v0.18.0 

type CreateHumanTaskUiRequest struct {
	*aws.Request
	Input *CreateHumanTaskUiInput
	Copy  func(*CreateHumanTaskUiInput) CreateHumanTaskUiRequest
}

CreateHumanTaskUiRequest is the request type for the CreateHumanTaskUi API operation.

func (CreateHumanTaskUiRequest) Send added in v0.18.0 

func (r CreateHumanTaskUiRequest) Send(ctx context.Context) (*CreateHumanTaskUiResponse, error)

Send marshals and sends the CreateHumanTaskUi API request.

type CreateHumanTaskUiResponse added in v0.18.0 

type CreateHumanTaskUiResponse struct {
	*CreateHumanTaskUiOutput
	// contains filtered or unexported fields
}

CreateHumanTaskUiResponse is the response type for the CreateHumanTaskUi API operation.

func (*CreateHumanTaskUiResponse) SDKResponseMetdata added in v0.18.0 

func (r *CreateHumanTaskUiResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateHumanTaskUi request.

type CreateHyperParameterTuningJobInput added in v0.5.0 

type CreateHyperParameterTuningJobInput struct {

	// The HyperParameterTuningJobConfig object that describes the tuning job, including
	// the search strategy, the objective metric used to evaluate training jobs,
	// ranges of parameters to search, and resource limits for the tuning job. For
	// more information, see How Hyperparameter Tuning Works (https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-how-it-works.html).
	//
	// HyperParameterTuningJobConfig is a required field
	HyperParameterTuningJobConfig *HyperParameterTuningJobConfig `type:"structure" required:"true"`

	// The name of the tuning job. This name is the prefix for the names of all
	// training jobs that this tuning job launches. The name must be unique within
	// the same AWS account and AWS Region. The name must have { } to { } characters.
	// Valid characters are a-z, A-Z, 0-9, and : + = @ _ % - (hyphen). The name
	// is not case sensitive.
	//
	// HyperParameterTuningJobName is a required field
	HyperParameterTuningJobName *string `min:"1" type:"string" required:"true"`

	// An array of key-value pairs. You can use tags to categorize your AWS resources
	// in different ways, for example, by purpose, owner, or environment. For more
	// information, see AWS Tagging Strategies (https://aws.amazon.com/answers/account-management/aws-tagging-strategies/).
	//
	// Tags that you specify for the tuning job are also added to all training jobs
	// that the tuning job launches.
	Tags []Tag `type:"list"`

	// The HyperParameterTrainingJobDefinition object that describes the training
	// jobs that this tuning job launches, including static hyperparameters, input
	// data configuration, output data configuration, resource configuration, and
	// stopping condition.
	TrainingJobDefinition *HyperParameterTrainingJobDefinition `type:"structure"`

	// A list of the HyperParameterTrainingJobDefinition objects launched for this
	// tuning job.
	TrainingJobDefinitions []HyperParameterTrainingJobDefinition `min:"1" type:"list"`

	// Specifies the configuration for starting the hyperparameter tuning job using
	// one or more previous tuning jobs as a starting point. The results of previous
	// tuning jobs are used to inform which combinations of hyperparameters to search
	// over in the new tuning job.
	//
	// All training jobs launched by the new hyperparameter tuning job are evaluated
	// by using the objective metric. If you specify IDENTICAL_DATA_AND_ALGORITHM
	// as the WarmStartType value for the warm start configuration, the training
	// job that performs the best in the new tuning job is compared to the best
	// training jobs from the parent tuning jobs. From these, the training job that
	// performs the best as measured by the objective metric is returned as the
	// overall best training job.
	//
	// All training jobs launched by parent hyperparameter tuning jobs and the new
	// hyperparameter tuning jobs count against the limit of training jobs for the
	// tuning job.
	WarmStartConfig *HyperParameterTuningJobWarmStartConfig `type:"structure"`
	// contains filtered or unexported fields
}

func (CreateHyperParameterTuningJobInput) String added in v0.5.0 

func (s CreateHyperParameterTuningJobInput) String() string

String returns the string representation

func (*CreateHyperParameterTuningJobInput) Validate added in v0.5.0 

func (s *CreateHyperParameterTuningJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateHyperParameterTuningJobOutput added in v0.5.0 

type CreateHyperParameterTuningJobOutput struct {

	// The Amazon Resource Name (ARN) of the tuning job. Amazon SageMaker assigns
	// an ARN to a hyperparameter tuning job when you create it.
	//
	// HyperParameterTuningJobArn is a required field
	HyperParameterTuningJobArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateHyperParameterTuningJobOutput) String added in v0.5.0 

func (s CreateHyperParameterTuningJobOutput) String() string

String returns the string representation

type CreateHyperParameterTuningJobRequest added in v0.5.0 

type CreateHyperParameterTuningJobRequest struct {
	*aws.Request
	Input *CreateHyperParameterTuningJobInput
	Copy  func(*CreateHyperParameterTuningJobInput) CreateHyperParameterTuningJobRequest
}

CreateHyperParameterTuningJobRequest is the request type for the CreateHyperParameterTuningJob API operation.

func (CreateHyperParameterTuningJobRequest) Send added in v0.5.0 

func (r CreateHyperParameterTuningJobRequest) Send(ctx context.Context) (*CreateHyperParameterTuningJobResponse, error)

Send marshals and sends the CreateHyperParameterTuningJob API request.

type CreateHyperParameterTuningJobResponse added in v0.9.0 

type CreateHyperParameterTuningJobResponse struct {
	*CreateHyperParameterTuningJobOutput
	// contains filtered or unexported fields
}

CreateHyperParameterTuningJobResponse is the response type for the CreateHyperParameterTuningJob API operation.

func (*CreateHyperParameterTuningJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateHyperParameterTuningJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateHyperParameterTuningJob request.

type CreateLabelingJobInput added in v0.6.0 

type CreateLabelingJobInput struct {

	// Configures the labeling task and how it is presented to workers; including,
	// but not limited to price, keywords, and batch size (task count).
	//
	// HumanTaskConfig is a required field
	HumanTaskConfig *HumanTaskConfig `type:"structure" required:"true"`

	// Input data for the labeling job, such as the Amazon S3 location of the data
	// objects and the location of the manifest file that describes the data objects.
	//
	// InputConfig is a required field
	InputConfig *LabelingJobInputConfig `type:"structure" required:"true"`

	// The attribute name to use for the label in the output manifest file. This
	// is the key for the key/value pair formed with the label that a worker assigns
	// to the object. The name can't end with "-metadata". If you are running a
	// semantic segmentation labeling job, the attribute name must end with "-ref".
	// If you are running any other kind of labeling job, the attribute name must
	// not end with "-ref".
	//
	// LabelAttributeName is a required field
	LabelAttributeName *string `min:"1" type:"string" required:"true"`

	// The S3 URL of the file that defines the categories used to label the data
	// objects.
	//
	// For 3D point cloud task types, see Create a Labeling Category Configuration
	// File for 3D Point Cloud Labeling Jobs (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-point-cloud-label-category-config.html).
	//
	// For all other built-in task types (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-task-types.html)
	// and custom tasks (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-custom-templates.html),
	// your label category configuration file must be a JSON file in the following
	// format. Identify the labels you want to use by replacing label_1, label_2,...,label_n
	// with your label categories.
	//
	// {
	//
	// "document-version": "2018-11-28"
	//
	// "labels": [
	//
	// {
	//
	// "label": "label_1"
	//
	// },
	//
	// {
	//
	// "label": "label_2"
	//
	// },
	//
	// ...
	//
	// {
	//
	// "label": "label_n"
	//
	// }
	//
	// ]
	//
	// }
	LabelCategoryConfigS3Uri *string `type:"string"`

	// Configures the information required to perform automated data labeling.
	LabelingJobAlgorithmsConfig *LabelingJobAlgorithmsConfig `type:"structure"`

	// The name of the labeling job. This name is used to identify the job in a
	// list of labeling jobs.
	//
	// LabelingJobName is a required field
	LabelingJobName *string `min:"1" type:"string" required:"true"`

	// The location of the output data and the AWS Key Management Service key ID
	// for the key used to encrypt the output data, if any.
	//
	// OutputConfig is a required field
	OutputConfig *LabelingJobOutputConfig `type:"structure" required:"true"`

	// The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform
	// tasks on your behalf during data labeling. You must grant this role the necessary
	// permissions so that Amazon SageMaker can successfully complete data labeling.
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"true"`

	// A set of conditions for stopping the labeling job. If any of the conditions
	// are met, the job is automatically stopped. You can use these conditions to
	// control the cost of data labeling.
	StoppingConditions *LabelingJobStoppingConditions `type:"structure"`

	// An array of key/value pairs. For more information, see Using Cost Allocation
	// Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what)
	// in the AWS Billing and Cost Management User Guide.
	Tags []Tag `type:"list"`
	// contains filtered or unexported fields
}

func (CreateLabelingJobInput) String added in v0.6.0 

func (s CreateLabelingJobInput) String() string

String returns the string representation

func (*CreateLabelingJobInput) Validate added in v0.6.0 

func (s *CreateLabelingJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateLabelingJobOutput added in v0.6.0 

type CreateLabelingJobOutput struct {

	// The Amazon Resource Name (ARN) of the labeling job. You use this ARN to identify
	// the labeling job.
	//
	// LabelingJobArn is a required field
	LabelingJobArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateLabelingJobOutput) String added in v0.6.0 

func (s CreateLabelingJobOutput) String() string

String returns the string representation

type CreateLabelingJobRequest added in v0.6.0 

type CreateLabelingJobRequest struct {
	*aws.Request
	Input *CreateLabelingJobInput
	Copy  func(*CreateLabelingJobInput) CreateLabelingJobRequest
}

CreateLabelingJobRequest is the request type for the CreateLabelingJob API operation.

func (CreateLabelingJobRequest) Send added in v0.6.0 

func (r CreateLabelingJobRequest) Send(ctx context.Context) (*CreateLabelingJobResponse, error)

Send marshals and sends the CreateLabelingJob API request.

type CreateLabelingJobResponse added in v0.9.0 

type CreateLabelingJobResponse struct {
	*CreateLabelingJobOutput
	// contains filtered or unexported fields
}

CreateLabelingJobResponse is the response type for the CreateLabelingJob API operation.

func (*CreateLabelingJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateLabelingJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateLabelingJob request.

type CreateModelInput 

type CreateModelInput struct {

	// Specifies the containers in the inference pipeline.
	Containers []ContainerDefinition `type:"list"`

	// Isolates the model container. No inbound or outbound network calls can be
	// made to or from the model container.
	EnableNetworkIsolation *bool `type:"boolean"`

	// The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can
	// assume to access model artifacts and docker image for deployment on ML compute
	// instances or for batch transform jobs. Deploying on ML compute instances
	// is part of model hosting. For more information, see Amazon SageMaker Roles
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html).
	//
	// To be able to pass this role to Amazon SageMaker, the caller of this API
	// must have the iam:PassRole permission.
	//
	// ExecutionRoleArn is a required field
	ExecutionRoleArn *string `min:"20" type:"string" required:"true"`

	// The name of the new model.
	//
	// ModelName is a required field
	ModelName *string `type:"string" required:"true"`

	// The location of the primary docker image containing inference code, associated
	// artifacts, and custom environment map that the inference code uses when the
	// model is deployed for predictions.
	PrimaryContainer *ContainerDefinition `type:"structure"`

	// An array of key-value pairs. For more information, see Using Cost Allocation
	// Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what)
	// in the AWS Billing and Cost Management User Guide.
	Tags []Tag `type:"list"`

	// A VpcConfig object that specifies the VPC that you want your model to connect
	// to. Control access to and from your model container by configuring the VPC.
	// VpcConfig is used in hosting services and in batch transform. For more information,
	// see Protect Endpoints by Using an Amazon Virtual Private Cloud (https://docs.aws.amazon.com/sagemaker/latest/dg/host-vpc.html)
	// and Protect Data in Batch Transform Jobs by Using an Amazon Virtual Private
	// Cloud (https://docs.aws.amazon.com/sagemaker/latest/dg/batch-vpc.html).
	VpcConfig *VpcConfig `type:"structure"`
	// contains filtered or unexported fields
}

func (CreateModelInput) String 

func (s CreateModelInput) String() string

String returns the string representation

func (*CreateModelInput) Validate 

func (s *CreateModelInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateModelOutput 

type CreateModelOutput struct {

	// The ARN of the model created in Amazon SageMaker.
	//
	// ModelArn is a required field
	ModelArn *string `min:"20" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateModelOutput) String 

func (s CreateModelOutput) String() string

String returns the string representation

type CreateModelPackageInput added in v0.6.0 

type CreateModelPackageInput struct {

	// Whether to certify the model package for listing on AWS Marketplace.
	CertifyForMarketplace *bool `type:"boolean"`

	// Specifies details about inference jobs that can be run with models based
	// on this model package, including the following:
	//
	//    * The Amazon ECR paths of containers that contain the inference code and
	//    model artifacts.
	//
	//    * The instance types that the model package supports for transform jobs
	//    and real-time endpoints used for inference.
	//
	//    * The input and output content formats that the model package supports
	//    for inference.
	InferenceSpecification *InferenceSpecification `type:"structure"`

	// A description of the model package.
	ModelPackageDescription *string `type:"string"`

	// The name of the model package. The name must have 1 to 63 characters. Valid
	// characters are a-z, A-Z, 0-9, and - (hyphen).
	//
	// ModelPackageName is a required field
	ModelPackageName *string `min:"1" type:"string" required:"true"`

	// Details about the algorithm that was used to create the model package.
	SourceAlgorithmSpecification *SourceAlgorithmSpecification `type:"structure"`

	// Specifies configurations for one or more transform jobs that Amazon SageMaker
	// runs to test the model package.
	ValidationSpecification *ModelPackageValidationSpecification `type:"structure"`
	// contains filtered or unexported fields
}

func (CreateModelPackageInput) String added in v0.6.0 

func (s CreateModelPackageInput) String() string

String returns the string representation

func (*CreateModelPackageInput) Validate added in v0.6.0 

func (s *CreateModelPackageInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateModelPackageOutput added in v0.6.0 

type CreateModelPackageOutput struct {

	// The Amazon Resource Name (ARN) of the new model package.
	//
	// ModelPackageArn is a required field
	ModelPackageArn *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateModelPackageOutput) String added in v0.6.0 

func (s CreateModelPackageOutput) String() string

String returns the string representation

type CreateModelPackageRequest added in v0.6.0 

type CreateModelPackageRequest struct {
	*aws.Request
	Input *CreateModelPackageInput
	Copy  func(*CreateModelPackageInput) CreateModelPackageRequest
}

CreateModelPackageRequest is the request type for the CreateModelPackage API operation.

func (CreateModelPackageRequest) Send added in v0.6.0 

func (r CreateModelPackageRequest) Send(ctx context.Context) (*CreateModelPackageResponse, error)

Send marshals and sends the CreateModelPackage API request.

type CreateModelPackageResponse added in v0.9.0 

type CreateModelPackageResponse struct {
	*CreateModelPackageOutput
	// contains filtered or unexported fields
}

CreateModelPackageResponse is the response type for the CreateModelPackage API operation.

func (*CreateModelPackageResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateModelPackageResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateModelPackage request.

type CreateModelRequest 

type CreateModelRequest struct {
	*aws.Request
	Input *CreateModelInput
	Copy  func(*CreateModelInput) CreateModelRequest
}

CreateModelRequest is the request type for the CreateModel API operation.

func (CreateModelRequest) Send 

func (r CreateModelRequest) Send(ctx context.Context) (*CreateModelResponse, error)

Send marshals and sends the CreateModel API request.

type CreateModelResponse added in v0.9.0 

type CreateModelResponse struct {
	*CreateModelOutput
	// contains filtered or unexported fields
}

CreateModelResponse is the response type for the CreateModel API operation.

func (*CreateModelResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateModelResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateModel request.

type CreateMonitoringScheduleInput added in v0.18.0 

type CreateMonitoringScheduleInput struct {

	// The configuration object that specifies the monitoring schedule and defines
	// the monitoring job.
	//
	// MonitoringScheduleConfig is a required field
	MonitoringScheduleConfig *MonitoringScheduleConfig `type:"structure" required:"true"`

	// The name of the monitoring schedule. The name must be unique within an AWS
	// Region within an AWS account.
	//
	// MonitoringScheduleName is a required field
	MonitoringScheduleName *string `min:"1" type:"string" required:"true"`

	// (Optional) An array of key-value pairs. For more information, see Using Cost
	// Allocation Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-whatURL)
	// in the AWS Billing and Cost Management User Guide.
	Tags []Tag `type:"list"`
	// contains filtered or unexported fields
}

func (CreateMonitoringScheduleInput) String added in v0.18.0 

func (s CreateMonitoringScheduleInput) String() string

String returns the string representation

func (*CreateMonitoringScheduleInput) Validate added in v0.18.0 

func (s *CreateMonitoringScheduleInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateMonitoringScheduleOutput added in v0.18.0 

type CreateMonitoringScheduleOutput struct {

	// The Amazon Resource Name (ARN) of the monitoring schedule.
	//
	// MonitoringScheduleArn is a required field
	MonitoringScheduleArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateMonitoringScheduleOutput) String added in v0.18.0 

func (s CreateMonitoringScheduleOutput) String() string

String returns the string representation

type CreateMonitoringScheduleRequest added in v0.18.0 

type CreateMonitoringScheduleRequest struct {
	*aws.Request
	Input *CreateMonitoringScheduleInput
	Copy  func(*CreateMonitoringScheduleInput) CreateMonitoringScheduleRequest
}

CreateMonitoringScheduleRequest is the request type for the CreateMonitoringSchedule API operation.

func (CreateMonitoringScheduleRequest) Send added in v0.18.0 

func (r CreateMonitoringScheduleRequest) Send(ctx context.Context) (*CreateMonitoringScheduleResponse, error)

Send marshals and sends the CreateMonitoringSchedule API request.

type CreateMonitoringScheduleResponse added in v0.18.0 

type CreateMonitoringScheduleResponse struct {
	*CreateMonitoringScheduleOutput
	// contains filtered or unexported fields
}

CreateMonitoringScheduleResponse is the response type for the CreateMonitoringSchedule API operation.

func (*CreateMonitoringScheduleResponse) SDKResponseMetdata added in v0.18.0 

func (r *CreateMonitoringScheduleResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateMonitoringSchedule request.

type CreateNotebookInstanceInput 

type CreateNotebookInstanceInput struct {

	// A list of Elastic Inference (EI) instance types to associate with this notebook
	// instance. Currently, only one instance type can be associated with a notebook
	// instance. For more information, see Using Elastic Inference in Amazon SageMaker
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/ei.html).
	AcceleratorTypes []NotebookInstanceAcceleratorType `type:"list"`

	// An array of up to three Git repositories to associate with the notebook instance.
	// These can be either the names of Git repositories stored as resources in
	// your account, or the URL of Git repositories in AWS CodeCommit (https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html)
	// or in any other Git repository. These repositories are cloned at the same
	// level as the default repository of your notebook instance. For more information,
	// see Associating Git Repositories with Amazon SageMaker Notebook Instances
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html).
	AdditionalCodeRepositories []string `type:"list"`

	// A Git repository to associate with the notebook instance as its default code
	// repository. This can be either the name of a Git repository stored as a resource
	// in your account, or the URL of a Git repository in AWS CodeCommit (https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html)
	// or in any other Git repository. When you open a notebook instance, it opens
	// in the directory that contains this repository. For more information, see
	// Associating Git Repositories with Amazon SageMaker Notebook Instances (https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html).
	DefaultCodeRepository *string `min:"1" type:"string"`

	// Sets whether Amazon SageMaker provides internet access to the notebook instance.
	// If you set this to Disabled this notebook instance will be able to access
	// resources only in your VPC, and will not be able to connect to Amazon SageMaker
	// training and endpoint services unless your configure a NAT Gateway in your
	// VPC.
	//
	// For more information, see Notebook Instances Are Internet-Enabled by Default
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/appendix-additional-considerations.html#appendix-notebook-and-internet-access).
	// You can set the value of this parameter to Disabled only if you set a value
	// for the SubnetId parameter.
	DirectInternetAccess DirectInternetAccess `type:"string" enum:"true"`

	// The type of ML compute instance to launch for the notebook instance.
	//
	// InstanceType is a required field
	InstanceType InstanceType `type:"string" required:"true" enum:"true"`

	// The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon
	// SageMaker uses to encrypt data on the storage volume attached to your notebook
	// instance. The KMS key you provide must be enabled. For information, see Enabling
	// and Disabling Keys (https://docs.aws.amazon.com/kms/latest/developerguide/enabling-keys.html)
	// in the AWS Key Management Service Developer Guide.
	KmsKeyId *string `type:"string"`

	// The name of a lifecycle configuration to associate with the notebook instance.
	// For information about lifestyle configurations, see Step 2.1: (Optional)
	// Customize a Notebook Instance (https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html).
	LifecycleConfigName *string `type:"string"`

	// The name of the new notebook instance.
	//
	// NotebookInstanceName is a required field
	NotebookInstanceName *string `type:"string" required:"true"`

	// When you send any requests to AWS resources from the notebook instance, Amazon
	// SageMaker assumes this role to perform tasks on your behalf. You must grant
	// this role necessary permissions so Amazon SageMaker can perform these tasks.
	// The policy must allow the Amazon SageMaker service principal (sagemaker.amazonaws.com)
	// permissions to assume this role. For more information, see Amazon SageMaker
	// Roles (https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html).
	//
	// To be able to pass this role to Amazon SageMaker, the caller of this API
	// must have the iam:PassRole permission.
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"true"`

	// Whether root access is enabled or disabled for users of the notebook instance.
	// The default value is Enabled.
	//
	// Lifecycle configurations need root access to be able to set up a notebook
	// instance. Because of this, lifecycle configurations associated with a notebook
	// instance always run with root access even if you disable root access for
	// users.
	RootAccess RootAccess `type:"string" enum:"true"`

	// The VPC security group IDs, in the form sg-xxxxxxxx. The security groups
	// must be for the same VPC as specified in the subnet.
	SecurityGroupIds []string `type:"list"`

	// The ID of the subnet in a VPC to which you would like to have a connectivity
	// from your ML compute instance.
	SubnetId *string `type:"string"`

	// A list of tags to associate with the notebook instance. You can add tags
	// later by using the CreateTags API.
	Tags []Tag `type:"list"`

	// The size, in GB, of the ML storage volume to attach to the notebook instance.
	// The default value is 5 GB.
	VolumeSizeInGB *int64 `min:"5" type:"integer"`
	// contains filtered or unexported fields
}

func (CreateNotebookInstanceInput) String 

func (s CreateNotebookInstanceInput) String() string

String returns the string representation

func (*CreateNotebookInstanceInput) Validate 

func (s *CreateNotebookInstanceInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateNotebookInstanceLifecycleConfigInput added in v0.4.0 

type CreateNotebookInstanceLifecycleConfigInput struct {

	// The name of the lifecycle configuration.
	//
	// NotebookInstanceLifecycleConfigName is a required field
	NotebookInstanceLifecycleConfigName *string `type:"string" required:"true"`

	// A shell script that runs only once, when you create a notebook instance.
	// The shell script must be a base64-encoded string.
	OnCreate []NotebookInstanceLifecycleHook `type:"list"`

	// A shell script that runs every time you start a notebook instance, including
	// when you create the notebook instance. The shell script must be a base64-encoded
	// string.
	OnStart []NotebookInstanceLifecycleHook `type:"list"`
	// contains filtered or unexported fields
}

func (CreateNotebookInstanceLifecycleConfigInput) String added in v0.4.0 

func (s CreateNotebookInstanceLifecycleConfigInput) String() string

String returns the string representation

func (*CreateNotebookInstanceLifecycleConfigInput) Validate added in v0.4.0 

func (s *CreateNotebookInstanceLifecycleConfigInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateNotebookInstanceLifecycleConfigOutput added in v0.4.0 

type CreateNotebookInstanceLifecycleConfigOutput struct {

	// The Amazon Resource Name (ARN) of the lifecycle configuration.
	NotebookInstanceLifecycleConfigArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (CreateNotebookInstanceLifecycleConfigOutput) String added in v0.4.0 

func (s CreateNotebookInstanceLifecycleConfigOutput) String() string

String returns the string representation

type CreateNotebookInstanceLifecycleConfigRequest added in v0.4.0 

type CreateNotebookInstanceLifecycleConfigRequest struct {
	*aws.Request
	Input *CreateNotebookInstanceLifecycleConfigInput
	Copy  func(*CreateNotebookInstanceLifecycleConfigInput) CreateNotebookInstanceLifecycleConfigRequest
}

CreateNotebookInstanceLifecycleConfigRequest is the request type for the CreateNotebookInstanceLifecycleConfig API operation.

func (CreateNotebookInstanceLifecycleConfigRequest) Send added in v0.4.0 

func (r CreateNotebookInstanceLifecycleConfigRequest) Send(ctx context.Context) (*CreateNotebookInstanceLifecycleConfigResponse, error)

Send marshals and sends the CreateNotebookInstanceLifecycleConfig API request.

type CreateNotebookInstanceLifecycleConfigResponse added in v0.9.0 

type CreateNotebookInstanceLifecycleConfigResponse struct {
	*CreateNotebookInstanceLifecycleConfigOutput
	// contains filtered or unexported fields
}

CreateNotebookInstanceLifecycleConfigResponse is the response type for the CreateNotebookInstanceLifecycleConfig API operation.

func (*CreateNotebookInstanceLifecycleConfigResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateNotebookInstanceLifecycleConfigResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateNotebookInstanceLifecycleConfig request.

type CreateNotebookInstanceOutput 

type CreateNotebookInstanceOutput struct {

	// The Amazon Resource Name (ARN) of the notebook instance.
	NotebookInstanceArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (CreateNotebookInstanceOutput) String 

func (s CreateNotebookInstanceOutput) String() string

String returns the string representation

type CreateNotebookInstanceRequest 

type CreateNotebookInstanceRequest struct {
	*aws.Request
	Input *CreateNotebookInstanceInput
	Copy  func(*CreateNotebookInstanceInput) CreateNotebookInstanceRequest
}

CreateNotebookInstanceRequest is the request type for the CreateNotebookInstance API operation.

func (CreateNotebookInstanceRequest) Send 

func (r CreateNotebookInstanceRequest) Send(ctx context.Context) (*CreateNotebookInstanceResponse, error)

Send marshals and sends the CreateNotebookInstance API request.

type CreateNotebookInstanceResponse added in v0.9.0 

type CreateNotebookInstanceResponse struct {
	*CreateNotebookInstanceOutput
	// contains filtered or unexported fields
}

CreateNotebookInstanceResponse is the response type for the CreateNotebookInstance API operation.

func (*CreateNotebookInstanceResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateNotebookInstanceResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateNotebookInstance request.

type CreatePresignedDomainUrlInput added in v0.18.0 

type CreatePresignedDomainUrlInput struct {

	// The domain ID.
	//
	// DomainId is a required field
	DomainId *string `type:"string" required:"true"`

	// The session expiration duration in seconds.
	SessionExpirationDurationInSeconds *int64 `min:"1800" type:"integer"`

	// The name of the UserProfile to sign-in as.
	//
	// UserProfileName is a required field
	UserProfileName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreatePresignedDomainUrlInput) String added in v0.18.0 

func (s CreatePresignedDomainUrlInput) String() string

String returns the string representation

func (*CreatePresignedDomainUrlInput) Validate added in v0.18.0 

func (s *CreatePresignedDomainUrlInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreatePresignedDomainUrlOutput added in v0.18.0 

type CreatePresignedDomainUrlOutput struct {

	// The presigned URL.
	AuthorizedUrl *string `type:"string"`
	// contains filtered or unexported fields
}

func (CreatePresignedDomainUrlOutput) String added in v0.18.0 

func (s CreatePresignedDomainUrlOutput) String() string

String returns the string representation

type CreatePresignedDomainUrlRequest added in v0.18.0 

type CreatePresignedDomainUrlRequest struct {
	*aws.Request
	Input *CreatePresignedDomainUrlInput
	Copy  func(*CreatePresignedDomainUrlInput) CreatePresignedDomainUrlRequest
}

CreatePresignedDomainUrlRequest is the request type for the CreatePresignedDomainUrl API operation.

func (CreatePresignedDomainUrlRequest) Send added in v0.18.0 

func (r CreatePresignedDomainUrlRequest) Send(ctx context.Context) (*CreatePresignedDomainUrlResponse, error)

Send marshals and sends the CreatePresignedDomainUrl API request.

type CreatePresignedDomainUrlResponse added in v0.18.0 

type CreatePresignedDomainUrlResponse struct {
	*CreatePresignedDomainUrlOutput
	// contains filtered or unexported fields
}

CreatePresignedDomainUrlResponse is the response type for the CreatePresignedDomainUrl API operation.

func (*CreatePresignedDomainUrlResponse) SDKResponseMetdata added in v0.18.0 

func (r *CreatePresignedDomainUrlResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreatePresignedDomainUrl request.

type CreatePresignedNotebookInstanceUrlInput 

type CreatePresignedNotebookInstanceUrlInput struct {

	// The name of the notebook instance.
	//
	// NotebookInstanceName is a required field
	NotebookInstanceName *string `type:"string" required:"true"`

	// The duration of the session, in seconds. The default is 12 hours.
	SessionExpirationDurationInSeconds *int64 `min:"1800" type:"integer"`
	// contains filtered or unexported fields
}

func (CreatePresignedNotebookInstanceUrlInput) String 

func (s CreatePresignedNotebookInstanceUrlInput) String() string

String returns the string representation

func (*CreatePresignedNotebookInstanceUrlInput) Validate 

func (s *CreatePresignedNotebookInstanceUrlInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreatePresignedNotebookInstanceUrlOutput 

type CreatePresignedNotebookInstanceUrlOutput struct {

	// A JSON object that contains the URL string.
	AuthorizedUrl *string `type:"string"`
	// contains filtered or unexported fields
}

func (CreatePresignedNotebookInstanceUrlOutput) String 

func (s CreatePresignedNotebookInstanceUrlOutput) String() string

String returns the string representation

type CreatePresignedNotebookInstanceUrlRequest 

type CreatePresignedNotebookInstanceUrlRequest struct {
	*aws.Request
	Input *CreatePresignedNotebookInstanceUrlInput
	Copy  func(*CreatePresignedNotebookInstanceUrlInput) CreatePresignedNotebookInstanceUrlRequest
}

CreatePresignedNotebookInstanceUrlRequest is the request type for the CreatePresignedNotebookInstanceUrl API operation.

func (CreatePresignedNotebookInstanceUrlRequest) Send 

func (r CreatePresignedNotebookInstanceUrlRequest) Send(ctx context.Context) (*CreatePresignedNotebookInstanceUrlResponse, error)

Send marshals and sends the CreatePresignedNotebookInstanceUrl API request.

type CreatePresignedNotebookInstanceUrlResponse added in v0.9.0 

type CreatePresignedNotebookInstanceUrlResponse struct {
	*CreatePresignedNotebookInstanceUrlOutput
	// contains filtered or unexported fields
}

CreatePresignedNotebookInstanceUrlResponse is the response type for the CreatePresignedNotebookInstanceUrl API operation.

func (*CreatePresignedNotebookInstanceUrlResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreatePresignedNotebookInstanceUrlResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreatePresignedNotebookInstanceUrl request.

type CreateProcessingJobInput added in v0.18.0 

type CreateProcessingJobInput struct {

	// Configures the processing job to run a specified Docker container image.
	//
	// AppSpecification is a required field
	AppSpecification *AppSpecification `type:"structure" required:"true"`

	// Sets the environment variables in the Docker container.
	Environment map[string]string `type:"map"`

	// Configuration for the experiment.
	ExperimentConfig *ExperimentConfig `type:"structure"`

	// Networking options for a processing job.
	NetworkConfig *NetworkConfig `type:"structure"`

	// For each input, data is downloaded from S3 into the processing container
	// before the processing job begins running if "S3InputMode" is set to File.
	ProcessingInputs []ProcessingInput `type:"list"`

	// The name of the processing job. The name must be unique within an AWS Region
	// in the AWS account.
	//
	// ProcessingJobName is a required field
	ProcessingJobName *string `min:"1" type:"string" required:"true"`

	// Output configuration for the processing job.
	ProcessingOutputConfig *ProcessingOutputConfig `type:"structure"`

	// Identifies the resources, ML compute instances, and ML storage volumes to
	// deploy for a processing job. In distributed training, you specify more than
	// one instance.
	//
	// ProcessingResources is a required field
	ProcessingResources *ProcessingResources `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume
	// to perform tasks on your behalf.
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"true"`

	// The time limit for how long the processing job is allowed to run.
	StoppingCondition *ProcessingStoppingCondition `type:"structure"`

	// (Optional) An array of key-value pairs. For more information, see Using Cost
	// Allocation Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-whatURL)
	// in the AWS Billing and Cost Management User Guide.
	Tags []Tag `type:"list"`
	// contains filtered or unexported fields
}

func (CreateProcessingJobInput) String added in v0.18.0 

func (s CreateProcessingJobInput) String() string

String returns the string representation

func (*CreateProcessingJobInput) Validate added in v0.18.0 

func (s *CreateProcessingJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateProcessingJobOutput added in v0.18.0 

type CreateProcessingJobOutput struct {

	// The Amazon Resource Name (ARN) of the processing job.
	//
	// ProcessingJobArn is a required field
	ProcessingJobArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateProcessingJobOutput) String added in v0.18.0 

func (s CreateProcessingJobOutput) String() string

String returns the string representation

type CreateProcessingJobRequest added in v0.18.0 

type CreateProcessingJobRequest struct {
	*aws.Request
	Input *CreateProcessingJobInput
	Copy  func(*CreateProcessingJobInput) CreateProcessingJobRequest
}

CreateProcessingJobRequest is the request type for the CreateProcessingJob API operation.

func (CreateProcessingJobRequest) Send added in v0.18.0 

func (r CreateProcessingJobRequest) Send(ctx context.Context) (*CreateProcessingJobResponse, error)

Send marshals and sends the CreateProcessingJob API request.

type CreateProcessingJobResponse added in v0.18.0 

type CreateProcessingJobResponse struct {
	*CreateProcessingJobOutput
	// contains filtered or unexported fields
}

CreateProcessingJobResponse is the response type for the CreateProcessingJob API operation.

func (*CreateProcessingJobResponse) SDKResponseMetdata added in v0.18.0 

func (r *CreateProcessingJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateProcessingJob request.

type CreateTrainingJobInput 

type CreateTrainingJobInput struct {

	// The registry path of the Docker image that contains the training algorithm
	// and algorithm-specific metadata, including the input mode. For more information
	// about algorithms provided by Amazon SageMaker, see Algorithms (https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html).
	// For information about providing your own algorithms, see Using Your Own Algorithms
	// with Amazon SageMaker (https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms.html).
	//
	// AlgorithmSpecification is a required field
	AlgorithmSpecification *AlgorithmSpecification `type:"structure" required:"true"`

	// Contains information about the output location for managed spot training
	// checkpoint data.
	CheckpointConfig *CheckpointConfig `type:"structure"`

	// Configuration information for the debug hook parameters, collection configuration,
	// and storage paths.
	DebugHookConfig *DebugHookConfig `type:"structure"`

	// Configuration information for debugging rules.
	DebugRuleConfigurations []DebugRuleConfiguration `type:"list"`

	// To encrypt all communications between ML compute instances in distributed
	// training, choose True. Encryption provides greater security for distributed
	// training, but training might take longer. How long it takes depends on the
	// amount of communication between compute instances, especially if you use
	// a deep learning algorithm in distributed training. For more information,
	// see Protect Communications Between ML Compute Instances in a Distributed
	// Training Job (https://docs.aws.amazon.com/sagemaker/latest/dg/train-encrypt.html).
	EnableInterContainerTrafficEncryption *bool `type:"boolean"`

	// To train models using managed spot training, choose True. Managed spot training
	// provides a fully managed and scalable infrastructure for training machine
	// learning models. this option is useful when training jobs can be interrupted
	// and when there is flexibility when the training job is run.
	//
	// The complete and intermediate results of jobs are stored in an Amazon S3
	// bucket, and can be used as a starting point to train models incrementally.
	// Amazon SageMaker provides metrics and logs in CloudWatch. They can be used
	// to see when managed spot training jobs are running, interrupted, resumed,
	// or completed.
	EnableManagedSpotTraining *bool `type:"boolean"`

	// Isolates the training container. No inbound or outbound network calls can
	// be made, except for calls between peers within a training cluster for distributed
	// training. If you enable network isolation for training jobs that are configured
	// to use a VPC, Amazon SageMaker downloads and uploads customer data and model
	// artifacts through the specified VPC, but the training container does not
	// have network access.
	EnableNetworkIsolation *bool `type:"boolean"`

	// Configuration for the experiment.
	ExperimentConfig *ExperimentConfig `type:"structure"`

	// Algorithm-specific parameters that influence the quality of the model. You
	// set hyperparameters before you start the learning process. For a list of
	// hyperparameters for each training algorithm provided by Amazon SageMaker,
	// see Algorithms (https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html).
	//
	// You can specify a maximum of 100 hyperparameters. Each hyperparameter is
	// a key-value pair. Each key and value is limited to 256 characters, as specified
	// by the Length Constraint.
	HyperParameters map[string]string `type:"map"`

	// An array of Channel objects. Each channel is a named input source. InputDataConfig
	// describes the input data and its location.
	//
	// Algorithms can accept input data from one or more channels. For example,
	// an algorithm might have two channels of input data, training_data and validation_data.
	// The configuration for each channel provides the S3, EFS, or FSx location
	// where the input data is stored. It also provides information about the stored
	// data: the MIME type, compression method, and whether the data is wrapped
	// in RecordIO format.
	//
	// Depending on the input mode that the algorithm supports, Amazon SageMaker
	// either copies input data files from an S3 bucket to a local directory in
	// the Docker container, or makes it available as input streams. For example,
	// if you specify an EFS location, input data files will be made available as
	// input streams. They do not need to be downloaded.
	InputDataConfig []Channel `min:"1" type:"list"`

	// Specifies the path to the S3 location where you want to store model artifacts.
	// Amazon SageMaker creates subfolders for the artifacts.
	//
	// OutputDataConfig is a required field
	OutputDataConfig *OutputDataConfig `type:"structure" required:"true"`

	// The resources, including the ML compute instances and ML storage volumes,
	// to use for model training.
	//
	// ML storage volumes store model artifacts and incremental states. Training
	// algorithms might also use ML storage volumes for scratch space. If you want
	// Amazon SageMaker to use the ML storage volume to store the training data,
	// choose File as the TrainingInputMode in the algorithm specification. For
	// distributed training algorithms, specify an instance count greater than 1.
	//
	// ResourceConfig is a required field
	ResourceConfig *ResourceConfig `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume
	// to perform tasks on your behalf.
	//
	// During model training, Amazon SageMaker needs your permission to read input
	// data from an S3 bucket, download a Docker image that contains training code,
	// write model artifacts to an S3 bucket, write logs to Amazon CloudWatch Logs,
	// and publish metrics to Amazon CloudWatch. You grant permissions for all of
	// these tasks to an IAM role. For more information, see Amazon SageMaker Roles
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html).
	//
	// To be able to pass this role to Amazon SageMaker, the caller of this API
	// must have the iam:PassRole permission.
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"true"`

	// Specifies a limit to how long a model training job can run. When the job
	// reaches the time limit, Amazon SageMaker ends the training job. Use this
	// API to cap model training costs.
	//
	// To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which
	// delays job termination for 120 seconds. Algorithms can use this 120-second
	// window to save the model artifacts, so the results of training are not lost.
	//
	// StoppingCondition is a required field
	StoppingCondition *StoppingCondition `type:"structure" required:"true"`

	// An array of key-value pairs. For more information, see Using Cost Allocation
	// Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what)
	// in the AWS Billing and Cost Management User Guide.
	Tags []Tag `type:"list"`

	// Configuration of storage locations for TensorBoard output.
	TensorBoardOutputConfig *TensorBoardOutputConfig `type:"structure"`

	// The name of the training job. The name must be unique within an AWS Region
	// in an AWS account.
	//
	// TrainingJobName is a required field
	TrainingJobName *string `min:"1" type:"string" required:"true"`

	// A VpcConfig object that specifies the VPC that you want your training job
	// to connect to. Control access to and from your training container by configuring
	// the VPC. For more information, see Protect Training Jobs by Using an Amazon
	// Virtual Private Cloud (https://docs.aws.amazon.com/sagemaker/latest/dg/train-vpc.html).
	VpcConfig *VpcConfig `type:"structure"`
	// contains filtered or unexported fields
}

func (CreateTrainingJobInput) String 

func (s CreateTrainingJobInput) String() string

String returns the string representation

func (*CreateTrainingJobInput) Validate 

func (s *CreateTrainingJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateTrainingJobOutput 

type CreateTrainingJobOutput struct {

	// The Amazon Resource Name (ARN) of the training job.
	//
	// TrainingJobArn is a required field
	TrainingJobArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateTrainingJobOutput) String 

func (s CreateTrainingJobOutput) String() string

String returns the string representation

type CreateTrainingJobRequest 

type CreateTrainingJobRequest struct {
	*aws.Request
	Input *CreateTrainingJobInput
	Copy  func(*CreateTrainingJobInput) CreateTrainingJobRequest
}

CreateTrainingJobRequest is the request type for the CreateTrainingJob API operation.

func (CreateTrainingJobRequest) Send 

func (r CreateTrainingJobRequest) Send(ctx context.Context) (*CreateTrainingJobResponse, error)

Send marshals and sends the CreateTrainingJob API request.

type CreateTrainingJobResponse added in v0.9.0 

type CreateTrainingJobResponse struct {
	*CreateTrainingJobOutput
	// contains filtered or unexported fields
}

CreateTrainingJobResponse is the response type for the CreateTrainingJob API operation.

func (*CreateTrainingJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateTrainingJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateTrainingJob request.

type CreateTransformJobInput added in v0.5.0 

type CreateTransformJobInput struct {

	// Specifies the number of records to include in a mini-batch for an HTTP inference
	// request. A record is a single unit of input data that inference can be made
	// on. For example, a single line in a CSV file is a record.
	//
	// To enable the batch strategy, you must set the SplitType property to Line,
	// RecordIO, or TFRecord.
	//
	// To use only one record when making an HTTP invocation request to a container,
	// set BatchStrategy to SingleRecord and SplitType to Line.
	//
	// To fit as many records in a mini-batch as can fit within the MaxPayloadInMB
	// limit, set BatchStrategy to MultiRecord and SplitType to Line.
	BatchStrategy BatchStrategy `type:"string" enum:"true"`

	// The data structure used to specify the data to be used for inference in a
	// batch transform job and to associate the data that is relevant to the prediction
	// results in the output. The input filter provided allows you to exclude input
	// data that is not needed for inference in a batch transform job. The output
	// filter provided allows you to include input data relevant to interpreting
	// the predictions in the output from the job. For more information, see Associate
	// Prediction Results with their Corresponding Input Records (https://docs.aws.amazon.com/sagemaker/latest/dg/batch-transform-data-processing.html).
	DataProcessing *DataProcessing `type:"structure"`

	// The environment variables to set in the Docker container. We support up to
	// 16 key and values entries in the map.
	Environment map[string]string `type:"map"`

	// Configuration for the experiment.
	ExperimentConfig *ExperimentConfig `type:"structure"`

	// The maximum number of parallel requests that can be sent to each instance
	// in a transform job. If MaxConcurrentTransforms is set to 0 or left unset,
	// Amazon SageMaker checks the optional execution-parameters to determine the
	// settings for your chosen algorithm. If the execution-parameters endpoint
	// is not enabled, the default value is 1. For more information on execution-parameters,
	// see How Containers Serve Requests (https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms-batch-code.html#your-algorithms-batch-code-how-containe-serves-requests).
	// For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms.
	MaxConcurrentTransforms *int64 `type:"integer"`

	// The maximum allowed size of the payload, in MB. A payload is the data portion
	// of a record (without metadata). The value in MaxPayloadInMB must be greater
	// than, or equal to, the size of a single record. To estimate the size of a
	// record in MB, divide the size of your dataset by the number of records. To
	// ensure that the records fit within the maximum payload size, we recommend
	// using a slightly larger value. The default value is 6 MB.
	//
	// For cases where the payload might be arbitrarily large and is transmitted
	// using HTTP chunked encoding, set the value to 0. This feature works only
	// in supported algorithms. Currently, Amazon SageMaker built-in algorithms
	// do not support HTTP chunked encoding.
	MaxPayloadInMB *int64 `type:"integer"`

	// Configures the timeout and maximum number of retries for processing a transform
	// job invocation.
	ModelClientConfig *ModelClientConfig `type:"structure"`

	// The name of the model that you want to use for the transform job. ModelName
	// must be the name of an existing Amazon SageMaker model within an AWS Region
	// in an AWS account.
	//
	// ModelName is a required field
	ModelName *string `type:"string" required:"true"`

	// (Optional) An array of key-value pairs. For more information, see Using Cost
	// Allocation Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what)
	// in the AWS Billing and Cost Management User Guide.
	Tags []Tag `type:"list"`

	// Describes the input source and the way the transform job consumes it.
	//
	// TransformInput is a required field
	TransformInput *TransformInput `type:"structure" required:"true"`

	// The name of the transform job. The name must be unique within an AWS Region
	// in an AWS account.
	//
	// TransformJobName is a required field
	TransformJobName *string `min:"1" type:"string" required:"true"`

	// Describes the results of the transform job.
	//
	// TransformOutput is a required field
	TransformOutput *TransformOutput `type:"structure" required:"true"`

	// Describes the resources, including ML instance types and ML instance count,
	// to use for the transform job.
	//
	// TransformResources is a required field
	TransformResources *TransformResources `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

func (CreateTransformJobInput) String added in v0.5.0 

func (s CreateTransformJobInput) String() string

String returns the string representation

func (*CreateTransformJobInput) Validate added in v0.5.0 

func (s *CreateTransformJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateTransformJobOutput added in v0.5.0 

type CreateTransformJobOutput struct {

	// The Amazon Resource Name (ARN) of the transform job.
	//
	// TransformJobArn is a required field
	TransformJobArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateTransformJobOutput) String added in v0.5.0 

func (s CreateTransformJobOutput) String() string

String returns the string representation

type CreateTransformJobRequest added in v0.5.0 

type CreateTransformJobRequest struct {
	*aws.Request
	Input *CreateTransformJobInput
	Copy  func(*CreateTransformJobInput) CreateTransformJobRequest
}

CreateTransformJobRequest is the request type for the CreateTransformJob API operation.

func (CreateTransformJobRequest) Send added in v0.5.0 

func (r CreateTransformJobRequest) Send(ctx context.Context) (*CreateTransformJobResponse, error)

Send marshals and sends the CreateTransformJob API request.

type CreateTransformJobResponse added in v0.9.0 

type CreateTransformJobResponse struct {
	*CreateTransformJobOutput
	// contains filtered or unexported fields
}

CreateTransformJobResponse is the response type for the CreateTransformJob API operation.

func (*CreateTransformJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateTransformJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateTransformJob request.

type CreateTrialComponentInput added in v0.18.0 

type CreateTrialComponentInput struct {

	// The name of the component as displayed. The name doesn't need to be unique.
	// If DisplayName isn't specified, TrialComponentName is displayed.
	DisplayName *string `min:"1" type:"string"`

	// When the component ended.
	EndTime *time.Time `type:"timestamp"`

	// The input artifacts for the component. Examples of input artifacts are datasets,
	// algorithms, hyperparameters, source code, and instance types.
	InputArtifacts map[string]TrialComponentArtifact `type:"map"`

	// The output artifacts for the component. Examples of output artifacts are
	// metrics, snapshots, logs, and images.
	OutputArtifacts map[string]TrialComponentArtifact `type:"map"`

	// The hyperparameters for the component.
	Parameters map[string]TrialComponentParameterValue `type:"map"`

	// When the component started.
	StartTime *time.Time `type:"timestamp"`

	// The status of the component. States include:
	//
	//    * InProgress
	//
	//    * Completed
	//
	//    * Failed
	Status *TrialComponentStatus `type:"structure"`

	// A list of tags to associate with the component. You can use Search API to
	// search on the tags.
	Tags []Tag `type:"list"`

	// The name of the component. The name must be unique in your AWS account and
	// is not case-sensitive.
	//
	// TrialComponentName is a required field
	TrialComponentName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateTrialComponentInput) String added in v0.18.0 

func (s CreateTrialComponentInput) String() string

String returns the string representation

func (*CreateTrialComponentInput) Validate added in v0.18.0 

func (s *CreateTrialComponentInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateTrialComponentOutput added in v0.18.0 

type CreateTrialComponentOutput struct {

	// The Amazon Resource Name (ARN) of the trial component.
	TrialComponentArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (CreateTrialComponentOutput) String added in v0.18.0 

func (s CreateTrialComponentOutput) String() string

String returns the string representation

type CreateTrialComponentRequest added in v0.18.0 

type CreateTrialComponentRequest struct {
	*aws.Request
	Input *CreateTrialComponentInput
	Copy  func(*CreateTrialComponentInput) CreateTrialComponentRequest
}

CreateTrialComponentRequest is the request type for the CreateTrialComponent API operation.

func (CreateTrialComponentRequest) Send added in v0.18.0 

func (r CreateTrialComponentRequest) Send(ctx context.Context) (*CreateTrialComponentResponse, error)

Send marshals and sends the CreateTrialComponent API request.

type CreateTrialComponentResponse added in v0.18.0 

type CreateTrialComponentResponse struct {
	*CreateTrialComponentOutput
	// contains filtered or unexported fields
}

CreateTrialComponentResponse is the response type for the CreateTrialComponent API operation.

func (*CreateTrialComponentResponse) SDKResponseMetdata added in v0.18.0 

func (r *CreateTrialComponentResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateTrialComponent request.

type CreateTrialInput added in v0.18.0 

type CreateTrialInput struct {

	// The name of the trial as displayed. The name doesn't need to be unique. If
	// DisplayName isn't specified, TrialName is displayed.
	DisplayName *string `min:"1" type:"string"`

	// The name of the experiment to associate the trial with.
	//
	// ExperimentName is a required field
	ExperimentName *string `min:"1" type:"string" required:"true"`

	// A list of tags to associate with the trial. You can use Search API to search
	// on the tags.
	Tags []Tag `type:"list"`

	// The name of the trial. The name must be unique in your AWS account and is
	// not case-sensitive.
	//
	// TrialName is a required field
	TrialName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateTrialInput) String added in v0.18.0 

func (s CreateTrialInput) String() string

String returns the string representation

func (*CreateTrialInput) Validate added in v0.18.0 

func (s *CreateTrialInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateTrialOutput added in v0.18.0 

type CreateTrialOutput struct {

	// The Amazon Resource Name (ARN) of the trial.
	TrialArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (CreateTrialOutput) String added in v0.18.0 

func (s CreateTrialOutput) String() string

String returns the string representation

type CreateTrialRequest added in v0.18.0 

type CreateTrialRequest struct {
	*aws.Request
	Input *CreateTrialInput
	Copy  func(*CreateTrialInput) CreateTrialRequest
}

CreateTrialRequest is the request type for the CreateTrial API operation.

func (CreateTrialRequest) Send added in v0.18.0 

func (r CreateTrialRequest) Send(ctx context.Context) (*CreateTrialResponse, error)

Send marshals and sends the CreateTrial API request.

type CreateTrialResponse added in v0.18.0 

type CreateTrialResponse struct {
	*CreateTrialOutput
	// contains filtered or unexported fields
}

CreateTrialResponse is the response type for the CreateTrial API operation.

func (*CreateTrialResponse) SDKResponseMetdata added in v0.18.0 

func (r *CreateTrialResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateTrial request.

type CreateUserProfileInput added in v0.18.0 

type CreateUserProfileInput struct {

	// The ID of the associated Domain.
	//
	// DomainId is a required field
	DomainId *string `type:"string" required:"true"`

	// A specifier for the type of value specified in SingleSignOnUserValue. Currently,
	// the only supported value is "UserName". If the Domain's AuthMode is SSO,
	// this field is required. If the Domain's AuthMode is not SSO, this field cannot
	// be specified.
	SingleSignOnUserIdentifier *string `type:"string"`

	// The username of the associated AWS Single Sign-On User for this UserProfile.
	// If the Domain's AuthMode is SSO, this field is required, and must match a
	// valid username of a user in your directory. If the Domain's AuthMode is not
	// SSO, this field cannot be specified.
	SingleSignOnUserValue *string `type:"string"`

	// Each tag consists of a key and an optional value. Tag keys must be unique
	// per resource.
	Tags []Tag `type:"list"`

	// A name for the UserProfile.
	//
	// UserProfileName is a required field
	UserProfileName *string `type:"string" required:"true"`

	// A collection of settings.
	UserSettings *UserSettings `type:"structure"`
	// contains filtered or unexported fields
}

func (CreateUserProfileInput) String added in v0.18.0 

func (s CreateUserProfileInput) String() string

String returns the string representation

func (*CreateUserProfileInput) Validate added in v0.18.0 

func (s *CreateUserProfileInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateUserProfileOutput added in v0.18.0 

type CreateUserProfileOutput struct {

	// The user profile Amazon Resource Name (ARN).
	UserProfileArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (CreateUserProfileOutput) String added in v0.18.0 

func (s CreateUserProfileOutput) String() string

String returns the string representation

type CreateUserProfileRequest added in v0.18.0 

type CreateUserProfileRequest struct {
	*aws.Request
	Input *CreateUserProfileInput
	Copy  func(*CreateUserProfileInput) CreateUserProfileRequest
}

CreateUserProfileRequest is the request type for the CreateUserProfile API operation.

func (CreateUserProfileRequest) Send added in v0.18.0 

func (r CreateUserProfileRequest) Send(ctx context.Context) (*CreateUserProfileResponse, error)

Send marshals and sends the CreateUserProfile API request.

type CreateUserProfileResponse added in v0.18.0 

type CreateUserProfileResponse struct {
	*CreateUserProfileOutput
	// contains filtered or unexported fields
}

CreateUserProfileResponse is the response type for the CreateUserProfile API operation.

func (*CreateUserProfileResponse) SDKResponseMetdata added in v0.18.0 

func (r *CreateUserProfileResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateUserProfile request.

type CreateWorkteamInput added in v0.6.0 

type CreateWorkteamInput struct {

	// A description of the work team.
	//
	// Description is a required field
	Description *string `min:"1" type:"string" required:"true"`

	// A list of MemberDefinition objects that contains objects that identify the
	// Amazon Cognito user pool that makes up the work team. For more information,
	// see Amazon Cognito User Pools (https://docs.aws.amazon.com/cognito/latest/developerguide/cognito-user-identity-pools.html).
	//
	// All of the CognitoMemberDefinition objects that make up the member definition
	// must have the same ClientId and UserPool values.
	//
	// MemberDefinitions is a required field
	MemberDefinitions []MemberDefinition `min:"1" type:"list" required:"true"`

	// Configures notification of workers regarding available or expiring work items.
	NotificationConfiguration *NotificationConfiguration `type:"structure"`

	// An array of key-value pairs.
	//
	// For more information, see Resource Tag (https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-resource-tags.html)
	// and Using Cost Allocation Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what)
	// in the AWS Billing and Cost Management User Guide.
	Tags []Tag `type:"list"`

	// The name of the work team. Use this name to identify the work team.
	//
	// WorkteamName is a required field
	WorkteamName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateWorkteamInput) String added in v0.6.0 

func (s CreateWorkteamInput) String() string

String returns the string representation

func (*CreateWorkteamInput) Validate added in v0.6.0 

func (s *CreateWorkteamInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateWorkteamOutput added in v0.6.0 

type CreateWorkteamOutput struct {

	// The Amazon Resource Name (ARN) of the work team. You can use this ARN to
	// identify the work team.
	WorkteamArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (CreateWorkteamOutput) String added in v0.6.0 

func (s CreateWorkteamOutput) String() string

String returns the string representation

type CreateWorkteamRequest added in v0.6.0 

type CreateWorkteamRequest struct {
	*aws.Request
	Input *CreateWorkteamInput
	Copy  func(*CreateWorkteamInput) CreateWorkteamRequest
}

CreateWorkteamRequest is the request type for the CreateWorkteam API operation.

func (CreateWorkteamRequest) Send added in v0.6.0 

func (r CreateWorkteamRequest) Send(ctx context.Context) (*CreateWorkteamResponse, error)

Send marshals and sends the CreateWorkteam API request.

type CreateWorkteamResponse added in v0.9.0 

type CreateWorkteamResponse struct {
	*CreateWorkteamOutput
	// contains filtered or unexported fields
}

CreateWorkteamResponse is the response type for the CreateWorkteam API operation.

func (*CreateWorkteamResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateWorkteamResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateWorkteam request.

type DataCaptureConfig added in v0.18.0 

type DataCaptureConfig struct {
	CaptureContentTypeHeader *CaptureContentTypeHeader `type:"structure"`

	// CaptureOptions is a required field
	CaptureOptions []CaptureOption `min:"1" type:"list" required:"true"`

	// DestinationS3Uri is a required field
	DestinationS3Uri *string `type:"string" required:"true"`

	EnableCapture *bool `type:"boolean"`

	// InitialSamplingPercentage is a required field
	InitialSamplingPercentage *int64 `type:"integer" required:"true"`

	KmsKeyId *string `type:"string"`
	// contains filtered or unexported fields
}

func (DataCaptureConfig) String added in v0.18.0 

func (s DataCaptureConfig) String() string

String returns the string representation

func (*DataCaptureConfig) Validate added in v0.18.0 

func (s *DataCaptureConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DataCaptureConfigSummary added in v0.18.0 

type DataCaptureConfigSummary struct {

	// CaptureStatus is a required field
	CaptureStatus CaptureStatus `type:"string" required:"true" enum:"true"`

	// CurrentSamplingPercentage is a required field
	CurrentSamplingPercentage *int64 `type:"integer" required:"true"`

	// DestinationS3Uri is a required field
	DestinationS3Uri *string `type:"string" required:"true"`

	// EnableCapture is a required field
	EnableCapture *bool `type:"boolean" required:"true"`

	// KmsKeyId is a required field
	KmsKeyId *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DataCaptureConfigSummary) String added in v0.18.0 

func (s DataCaptureConfigSummary) String() string

String returns the string representation

type DataProcessing added in v0.10.0 

type DataProcessing struct {

	// A JSONPath (https://docs.aws.amazon.com/sagemaker/latest/dg/batch-transform-data-processing.html#data-processing-operators)
	// expression used to select a portion of the input data to pass to the algorithm.
	// Use the InputFilter parameter to exclude fields, such as an ID column, from
	// the input. If you want Amazon SageMaker to pass the entire input dataset
	// to the algorithm, accept the default value $.
	//
	// Examples: "$", "$[1:]", "$.features"
	InputFilter *string `type:"string"`

	// Specifies the source of the data to join with the transformed data. The valid
	// values are None and Input. The default value is None, which specifies not
	// to join the input with the transformed data. If you want the batch transform
	// job to join the original input data with the transformed data, set JoinSource
	// to Input.
	//
	// For JSON or JSONLines objects, such as a JSON array, Amazon SageMaker adds
	// the transformed data to the input JSON object in an attribute called SageMakerOutput.
	// The joined result for JSON must be a key-value pair object. If the input
	// is not a key-value pair object, Amazon SageMaker creates a new JSON file.
	// In the new JSON file, and the input data is stored under the SageMakerInput
	// key and the results are stored in SageMakerOutput.
	//
	// For CSV files, Amazon SageMaker combines the transformed data with the input
	// data at the end of the input data and stores it in the output file. The joined
	// data has the joined input data followed by the transformed data and the output
	// is a CSV file.
	JoinSource JoinSource `type:"string" enum:"true"`

	// A JSONPath (https://docs.aws.amazon.com/sagemaker/latest/dg/batch-transform-data-processing.html#data-processing-operators)
	// expression used to select a portion of the joined dataset to save in the
	// output file for a batch transform job. If you want Amazon SageMaker to store
	// the entire input dataset in the output file, leave the default value, $.
	// If you specify indexes that aren't within the dimension size of the joined
	// dataset, you get an error.
	//
	// Examples: "$", "$[0,5:]", "$['id','SageMakerOutput']"
	OutputFilter *string `type:"string"`
	// contains filtered or unexported fields
}

The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records (https://docs.aws.amazon.com/sagemaker/latest/dg/batch-transform-data-processing.html).

func (DataProcessing) String added in v0.10.0 

func (s DataProcessing) String() string

String returns the string representation

type DataSource 

type DataSource struct {

	// The file system that is associated with a channel.
	FileSystemDataSource *FileSystemDataSource `type:"structure"`

	// The S3 location of the data source that is associated with a channel.
	S3DataSource *S3DataSource `type:"structure"`
	// contains filtered or unexported fields
}

Describes the location of the channel data.

func (DataSource) String 

func (s DataSource) String() string

String returns the string representation

func (*DataSource) Validate 

func (s *DataSource) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DebugHookConfig added in v0.18.0 

type DebugHookConfig struct {

	// Configuration information for tensor collections.
	CollectionConfigurations []CollectionConfiguration `type:"list"`

	// Configuration information for the debug hook parameters.
	HookParameters map[string]string `type:"map"`

	// Path to local storage location for tensors. Defaults to /opt/ml/output/tensors/.
	LocalPath *string `type:"string"`

	// Path to Amazon S3 storage location for tensors.
	//
	// S3OutputPath is a required field
	S3OutputPath *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Configuration information for the debug hook parameters, collection configuration, and storage paths.

func (DebugHookConfig) String added in v0.18.0 

func (s DebugHookConfig) String() string

String returns the string representation

func (*DebugHookConfig) Validate added in v0.18.0 

func (s *DebugHookConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DebugRuleConfiguration added in v0.18.0 

type DebugRuleConfiguration struct {

	// The instance type to deploy for a training job.
	InstanceType ProcessingInstanceType `type:"string" enum:"true"`

	// Path to local storage location for output of rules. Defaults to /opt/ml/processing/output/rule/.
	LocalPath *string `type:"string"`

	// The name of the rule configuration. It must be unique relative to other rule
	// configuration names.
	//
	// RuleConfigurationName is a required field
	RuleConfigurationName *string `min:"1" type:"string" required:"true"`

	// The Amazon Elastic Container (ECR) Image for the managed rule evaluation.
	//
	// RuleEvaluatorImage is a required field
	RuleEvaluatorImage *string `type:"string" required:"true"`

	// Runtime configuration for rule container.
	RuleParameters map[string]string `type:"map"`

	// Path to Amazon S3 storage location for rules.
	S3OutputPath *string `type:"string"`

	// The size, in GB, of the ML storage volume attached to the processing instance.
	VolumeSizeInGB *int64 `type:"integer"`
	// contains filtered or unexported fields
}

Configuration information for debugging rules.

func (DebugRuleConfiguration) String added in v0.18.0 

func (s DebugRuleConfiguration) String() string

String returns the string representation

func (*DebugRuleConfiguration) Validate added in v0.18.0 

func (s *DebugRuleConfiguration) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DebugRuleEvaluationStatus added in v0.18.0 

type DebugRuleEvaluationStatus struct {

	// Timestamp when the rule evaluation status was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The name of the rule configuration
	RuleConfigurationName *string `min:"1" type:"string"`

	// The Amazon Resource Name (ARN) of the rule evaluation job.
	RuleEvaluationJobArn *string `type:"string"`

	// Status of the rule evaluation.
	RuleEvaluationStatus RuleEvaluationStatus `type:"string" enum:"true"`

	// Details from the rule evaluation.
	StatusDetails *string `type:"string"`
	// contains filtered or unexported fields
}

Information about the status of the rule evaluation.

func (DebugRuleEvaluationStatus) String added in v0.18.0 

func (s DebugRuleEvaluationStatus) String() string

String returns the string representation

type DeleteAlgorithmInput added in v0.6.0 

type DeleteAlgorithmInput struct {

	// The name of the algorithm to delete.
	//
	// AlgorithmName is a required field
	AlgorithmName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteAlgorithmInput) String added in v0.6.0 

func (s DeleteAlgorithmInput) String() string

String returns the string representation

func (*DeleteAlgorithmInput) Validate added in v0.6.0 

func (s *DeleteAlgorithmInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteAlgorithmOutput added in v0.6.0 

type DeleteAlgorithmOutput struct {
	// contains filtered or unexported fields
}

func (DeleteAlgorithmOutput) String added in v0.6.0 

func (s DeleteAlgorithmOutput) String() string

String returns the string representation

type DeleteAlgorithmRequest added in v0.6.0 

type DeleteAlgorithmRequest struct {
	*aws.Request
	Input *DeleteAlgorithmInput
	Copy  func(*DeleteAlgorithmInput) DeleteAlgorithmRequest
}

DeleteAlgorithmRequest is the request type for the DeleteAlgorithm API operation.

func (DeleteAlgorithmRequest) Send added in v0.6.0 

func (r DeleteAlgorithmRequest) Send(ctx context.Context) (*DeleteAlgorithmResponse, error)

Send marshals and sends the DeleteAlgorithm API request.

type DeleteAlgorithmResponse added in v0.9.0 

type DeleteAlgorithmResponse struct {
	*DeleteAlgorithmOutput
	// contains filtered or unexported fields
}

DeleteAlgorithmResponse is the response type for the DeleteAlgorithm API operation.

func (*DeleteAlgorithmResponse) SDKResponseMetdata added in v0.9.0 

func (r *DeleteAlgorithmResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteAlgorithm request.

type DeleteAppInput added in v0.18.0 

type DeleteAppInput struct {

	// The name of the app.
	//
	// AppName is a required field
	AppName *string `type:"string" required:"true"`

	// The type of app.
	//
	// AppType is a required field
	AppType AppType `type:"string" required:"true" enum:"true"`

	// The domain ID.
	//
	// DomainId is a required field
	DomainId *string `type:"string" required:"true"`

	// The user profile name.
	//
	// UserProfileName is a required field
	UserProfileName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteAppInput) String added in v0.18.0 

func (s DeleteAppInput) String() string

String returns the string representation

func (*DeleteAppInput) Validate added in v0.18.0 

func (s *DeleteAppInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteAppOutput added in v0.18.0 

type DeleteAppOutput struct {
	// contains filtered or unexported fields
}

func (DeleteAppOutput) String added in v0.18.0 

func (s DeleteAppOutput) String() string

String returns the string representation

type DeleteAppRequest added in v0.18.0 

type DeleteAppRequest struct {
	*aws.Request
	Input *DeleteAppInput
	Copy  func(*DeleteAppInput) DeleteAppRequest
}

DeleteAppRequest is the request type for the DeleteApp API operation.

func (DeleteAppRequest) Send added in v0.18.0 

func (r DeleteAppRequest) Send(ctx context.Context) (*DeleteAppResponse, error)

Send marshals and sends the DeleteApp API request.

type DeleteAppResponse added in v0.18.0 

type DeleteAppResponse struct {
	*DeleteAppOutput
	// contains filtered or unexported fields
}

DeleteAppResponse is the response type for the DeleteApp API operation.

func (*DeleteAppResponse) SDKResponseMetdata added in v0.18.0 

func (r *DeleteAppResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteApp request.

type DeleteCodeRepositoryInput added in v0.6.0 

type DeleteCodeRepositoryInput struct {

	// The name of the Git repository to delete.
	//
	// CodeRepositoryName is a required field
	CodeRepositoryName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteCodeRepositoryInput) String added in v0.6.0 

func (s DeleteCodeRepositoryInput) String() string

String returns the string representation

func (*DeleteCodeRepositoryInput) Validate added in v0.6.0 

func (s *DeleteCodeRepositoryInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteCodeRepositoryOutput added in v0.6.0 

type DeleteCodeRepositoryOutput struct {
	// contains filtered or unexported fields
}

func (DeleteCodeRepositoryOutput) String added in v0.6.0 

func (s DeleteCodeRepositoryOutput) String() string

String returns the string representation

type DeleteCodeRepositoryRequest added in v0.6.0 

type DeleteCodeRepositoryRequest struct {
	*aws.Request
	Input *DeleteCodeRepositoryInput
	Copy  func(*DeleteCodeRepositoryInput) DeleteCodeRepositoryRequest
}

DeleteCodeRepositoryRequest is the request type for the DeleteCodeRepository API operation.

func (DeleteCodeRepositoryRequest) Send added in v0.6.0 

func (r DeleteCodeRepositoryRequest) Send(ctx context.Context) (*DeleteCodeRepositoryResponse, error)

Send marshals and sends the DeleteCodeRepository API request.

type DeleteCodeRepositoryResponse added in v0.9.0 

type DeleteCodeRepositoryResponse struct {
	*DeleteCodeRepositoryOutput
	// contains filtered or unexported fields
}

DeleteCodeRepositoryResponse is the response type for the DeleteCodeRepository API operation.

func (*DeleteCodeRepositoryResponse) SDKResponseMetdata added in v0.9.0 

func (r *DeleteCodeRepositoryResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteCodeRepository request.

type DeleteDomainInput added in v0.18.0 

type DeleteDomainInput struct {

	// The domain ID.
	//
	// DomainId is a required field
	DomainId *string `type:"string" required:"true"`

	// The retention policy for this domain, which specifies whether resources will
	// be retained after the Domain is deleted. By default, all resources are retained
	// (not automatically deleted).
	RetentionPolicy *RetentionPolicy `type:"structure"`
	// contains filtered or unexported fields
}

func (DeleteDomainInput) String added in v0.18.0 

func (s DeleteDomainInput) String() string

String returns the string representation

func (*DeleteDomainInput) Validate added in v0.18.0 

func (s *DeleteDomainInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteDomainOutput added in v0.18.0 

type DeleteDomainOutput struct {
	// contains filtered or unexported fields
}

func (DeleteDomainOutput) String added in v0.18.0 

func (s DeleteDomainOutput) String() string

String returns the string representation

type DeleteDomainRequest added in v0.18.0 

type DeleteDomainRequest struct {
	*aws.Request
	Input *DeleteDomainInput
	Copy  func(*DeleteDomainInput) DeleteDomainRequest
}

DeleteDomainRequest is the request type for the DeleteDomain API operation.

func (DeleteDomainRequest) Send added in v0.18.0 

func (r DeleteDomainRequest) Send(ctx context.Context) (*DeleteDomainResponse, error)

Send marshals and sends the DeleteDomain API request.

type DeleteDomainResponse added in v0.18.0 

type DeleteDomainResponse struct {
	*DeleteDomainOutput
	// contains filtered or unexported fields
}

DeleteDomainResponse is the response type for the DeleteDomain API operation.

func (*DeleteDomainResponse) SDKResponseMetdata added in v0.18.0 

func (r *DeleteDomainResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteDomain request.

type DeleteEndpointConfigInput 

type DeleteEndpointConfigInput struct {

	// The name of the endpoint configuration that you want to delete.
	//
	// EndpointConfigName is a required field
	EndpointConfigName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteEndpointConfigInput) String 

func (s DeleteEndpointConfigInput) String() string

String returns the string representation

func (*DeleteEndpointConfigInput) Validate 

func (s *DeleteEndpointConfigInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteEndpointConfigOutput 

type DeleteEndpointConfigOutput struct {
	// contains filtered or unexported fields
}

func (DeleteEndpointConfigOutput) String 

func (s DeleteEndpointConfigOutput) String() string

String returns the string representation

type DeleteEndpointConfigRequest 

type DeleteEndpointConfigRequest struct {
	*aws.Request
	Input *DeleteEndpointConfigInput
	Copy  func(*DeleteEndpointConfigInput) DeleteEndpointConfigRequest
}

DeleteEndpointConfigRequest is the request type for the DeleteEndpointConfig API operation.

func (DeleteEndpointConfigRequest) Send 

func (r DeleteEndpointConfigRequest) Send(ctx context.Context) (*DeleteEndpointConfigResponse, error)

Send marshals and sends the DeleteEndpointConfig API request.

type DeleteEndpointConfigResponse added in v0.9.0 

type DeleteEndpointConfigResponse struct {
	*DeleteEndpointConfigOutput
	// contains filtered or unexported fields
}

DeleteEndpointConfigResponse is the response type for the DeleteEndpointConfig API operation.

func (*DeleteEndpointConfigResponse) SDKResponseMetdata added in v0.9.0 

func (r *DeleteEndpointConfigResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteEndpointConfig request.

type DeleteEndpointInput 

type DeleteEndpointInput struct {

	// The name of the endpoint that you want to delete.
	//
	// EndpointName is a required field
	EndpointName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteEndpointInput) String 

func (s DeleteEndpointInput) String() string

String returns the string representation

func (*DeleteEndpointInput) Validate 

func (s *DeleteEndpointInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteEndpointOutput 

type DeleteEndpointOutput struct {
	// contains filtered or unexported fields
}

func (DeleteEndpointOutput) String 

func (s DeleteEndpointOutput) String() string

String returns the string representation

type DeleteEndpointRequest 

type DeleteEndpointRequest struct {
	*aws.Request
	Input *DeleteEndpointInput
	Copy  func(*DeleteEndpointInput) DeleteEndpointRequest
}

DeleteEndpointRequest is the request type for the DeleteEndpoint API operation.

func (DeleteEndpointRequest) Send 

func (r DeleteEndpointRequest) Send(ctx context.Context) (*DeleteEndpointResponse, error)

Send marshals and sends the DeleteEndpoint API request.

type DeleteEndpointResponse added in v0.9.0 

type DeleteEndpointResponse struct {
	*DeleteEndpointOutput
	// contains filtered or unexported fields
}

DeleteEndpointResponse is the response type for the DeleteEndpoint API operation.

func (*DeleteEndpointResponse) SDKResponseMetdata added in v0.9.0 

func (r *DeleteEndpointResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteEndpoint request.

type DeleteExperimentInput added in v0.18.0 

type DeleteExperimentInput struct {

	// The name of the experiment to delete.
	//
	// ExperimentName is a required field
	ExperimentName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteExperimentInput) String added in v0.18.0 

func (s DeleteExperimentInput) String() string

String returns the string representation

func (*DeleteExperimentInput) Validate added in v0.18.0 

func (s *DeleteExperimentInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteExperimentOutput added in v0.18.0 

type DeleteExperimentOutput struct {

	// The Amazon Resource Name (ARN) of the experiment that is being deleted.
	ExperimentArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (DeleteExperimentOutput) String added in v0.18.0 

func (s DeleteExperimentOutput) String() string

String returns the string representation

type DeleteExperimentRequest added in v0.18.0 

type DeleteExperimentRequest struct {
	*aws.Request
	Input *DeleteExperimentInput
	Copy  func(*DeleteExperimentInput) DeleteExperimentRequest
}

DeleteExperimentRequest is the request type for the DeleteExperiment API operation.

func (DeleteExperimentRequest) Send added in v0.18.0 

func (r DeleteExperimentRequest) Send(ctx context.Context) (*DeleteExperimentResponse, error)

Send marshals and sends the DeleteExperiment API request.

type DeleteExperimentResponse added in v0.18.0 

type DeleteExperimentResponse struct {
	*DeleteExperimentOutput
	// contains filtered or unexported fields
}

DeleteExperimentResponse is the response type for the DeleteExperiment API operation.

func (*DeleteExperimentResponse) SDKResponseMetdata added in v0.18.0 

func (r *DeleteExperimentResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteExperiment request.

type DeleteFlowDefinitionInput added in v0.18.0 

type DeleteFlowDefinitionInput struct {

	// The name of the flow definition you are deleting.
	//
	// FlowDefinitionName is a required field
	FlowDefinitionName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteFlowDefinitionInput) String added in v0.18.0 

func (s DeleteFlowDefinitionInput) String() string

String returns the string representation

func (*DeleteFlowDefinitionInput) Validate added in v0.18.0 

func (s *DeleteFlowDefinitionInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteFlowDefinitionOutput added in v0.18.0 

type DeleteFlowDefinitionOutput struct {
	// contains filtered or unexported fields
}

func (DeleteFlowDefinitionOutput) String added in v0.18.0 

func (s DeleteFlowDefinitionOutput) String() string

String returns the string representation

type DeleteFlowDefinitionRequest added in v0.18.0 

type DeleteFlowDefinitionRequest struct {
	*aws.Request
	Input *DeleteFlowDefinitionInput
	Copy  func(*DeleteFlowDefinitionInput) DeleteFlowDefinitionRequest
}

DeleteFlowDefinitionRequest is the request type for the DeleteFlowDefinition API operation.

func (DeleteFlowDefinitionRequest) Send added in v0.18.0 

func (r DeleteFlowDefinitionRequest) Send(ctx context.Context) (*DeleteFlowDefinitionResponse, error)

Send marshals and sends the DeleteFlowDefinition API request.

type DeleteFlowDefinitionResponse added in v0.18.0 

type DeleteFlowDefinitionResponse struct {
	*DeleteFlowDefinitionOutput
	// contains filtered or unexported fields
}

DeleteFlowDefinitionResponse is the response type for the DeleteFlowDefinition API operation.

func (*DeleteFlowDefinitionResponse) SDKResponseMetdata added in v0.18.0 

func (r *DeleteFlowDefinitionResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteFlowDefinition request.

type DeleteHumanTaskUiInput added in v0.24.0 

type DeleteHumanTaskUiInput struct {

	// The name of the human task user interface (work task template) you want to
	// delete.
	//
	// HumanTaskUiName is a required field
	HumanTaskUiName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteHumanTaskUiInput) String added in v0.24.0 

func (s DeleteHumanTaskUiInput) String() string

String returns the string representation

func (*DeleteHumanTaskUiInput) Validate added in v0.24.0 

func (s *DeleteHumanTaskUiInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteHumanTaskUiOutput added in v0.24.0 

type DeleteHumanTaskUiOutput struct {
	// contains filtered or unexported fields
}

func (DeleteHumanTaskUiOutput) String added in v0.24.0 

func (s DeleteHumanTaskUiOutput) String() string

String returns the string representation

type DeleteHumanTaskUiRequest added in v0.24.0 

type DeleteHumanTaskUiRequest struct {
	*aws.Request
	Input *DeleteHumanTaskUiInput
	Copy  func(*DeleteHumanTaskUiInput) DeleteHumanTaskUiRequest
}

DeleteHumanTaskUiRequest is the request type for the DeleteHumanTaskUi API operation.

func (DeleteHumanTaskUiRequest) Send added in v0.24.0 

func (r DeleteHumanTaskUiRequest) Send(ctx context.Context) (*DeleteHumanTaskUiResponse, error)

Send marshals and sends the DeleteHumanTaskUi API request.

type DeleteHumanTaskUiResponse added in v0.24.0 

type DeleteHumanTaskUiResponse struct {
	*DeleteHumanTaskUiOutput
	// contains filtered or unexported fields
}

DeleteHumanTaskUiResponse is the response type for the DeleteHumanTaskUi API operation.

func (*DeleteHumanTaskUiResponse) SDKResponseMetdata added in v0.24.0 

func (r *DeleteHumanTaskUiResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteHumanTaskUi request.

type DeleteModelInput 

type DeleteModelInput struct {

	// The name of the model to delete.
	//
	// ModelName is a required field
	ModelName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteModelInput) String 

func (s DeleteModelInput) String() string

String returns the string representation

func (*DeleteModelInput) Validate 

func (s *DeleteModelInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteModelOutput 

type DeleteModelOutput struct {
	// contains filtered or unexported fields
}

func (DeleteModelOutput) String 

func (s DeleteModelOutput) String() string

String returns the string representation

type DeleteModelPackageInput added in v0.6.0 

type DeleteModelPackageInput struct {

	// The name of the model package. The name must have 1 to 63 characters. Valid
	// characters are a-z, A-Z, 0-9, and - (hyphen).
	//
	// ModelPackageName is a required field
	ModelPackageName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteModelPackageInput) String added in v0.6.0 

func (s DeleteModelPackageInput) String() string

String returns the string representation

func (*DeleteModelPackageInput) Validate added in v0.6.0 

func (s *DeleteModelPackageInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteModelPackageOutput added in v0.6.0 

type DeleteModelPackageOutput struct {
	// contains filtered or unexported fields
}

func (DeleteModelPackageOutput) String added in v0.6.0 

func (s DeleteModelPackageOutput) String() string

String returns the string representation

type DeleteModelPackageRequest added in v0.6.0 

type DeleteModelPackageRequest struct {
	*aws.Request
	Input *DeleteModelPackageInput
	Copy  func(*DeleteModelPackageInput) DeleteModelPackageRequest
}

DeleteModelPackageRequest is the request type for the DeleteModelPackage API operation.

func (DeleteModelPackageRequest) Send added in v0.6.0 

func (r DeleteModelPackageRequest) Send(ctx context.Context) (*DeleteModelPackageResponse, error)

Send marshals and sends the DeleteModelPackage API request.

type DeleteModelPackageResponse added in v0.9.0 

type DeleteModelPackageResponse struct {
	*DeleteModelPackageOutput
	// contains filtered or unexported fields
}

DeleteModelPackageResponse is the response type for the DeleteModelPackage API operation.

func (*DeleteModelPackageResponse) SDKResponseMetdata added in v0.9.0 

func (r *DeleteModelPackageResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteModelPackage request.

type DeleteModelRequest 

type DeleteModelRequest struct {
	*aws.Request
	Input *DeleteModelInput
	Copy  func(*DeleteModelInput) DeleteModelRequest
}

DeleteModelRequest is the request type for the DeleteModel API operation.

func (DeleteModelRequest) Send 

func (r DeleteModelRequest) Send(ctx context.Context) (*DeleteModelResponse, error)

Send marshals and sends the DeleteModel API request.

type DeleteModelResponse added in v0.9.0 

type DeleteModelResponse struct {
	*DeleteModelOutput
	// contains filtered or unexported fields
}

DeleteModelResponse is the response type for the DeleteModel API operation.

func (*DeleteModelResponse) SDKResponseMetdata added in v0.9.0 

func (r *DeleteModelResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteModel request.

type DeleteMonitoringScheduleInput added in v0.18.0 

type DeleteMonitoringScheduleInput struct {

	// The name of the monitoring schedule to delete.
	//
	// MonitoringScheduleName is a required field
	MonitoringScheduleName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteMonitoringScheduleInput) String added in v0.18.0 

func (s DeleteMonitoringScheduleInput) String() string

String returns the string representation

func (*DeleteMonitoringScheduleInput) Validate added in v0.18.0 

func (s *DeleteMonitoringScheduleInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteMonitoringScheduleOutput added in v0.18.0 

type DeleteMonitoringScheduleOutput struct {
	// contains filtered or unexported fields
}

func (DeleteMonitoringScheduleOutput) String added in v0.18.0 

func (s DeleteMonitoringScheduleOutput) String() string

String returns the string representation

type DeleteMonitoringScheduleRequest added in v0.18.0 

type DeleteMonitoringScheduleRequest struct {
	*aws.Request
	Input *DeleteMonitoringScheduleInput
	Copy  func(*DeleteMonitoringScheduleInput) DeleteMonitoringScheduleRequest
}

DeleteMonitoringScheduleRequest is the request type for the DeleteMonitoringSchedule API operation.

func (DeleteMonitoringScheduleRequest) Send added in v0.18.0 

func (r DeleteMonitoringScheduleRequest) Send(ctx context.Context) (*DeleteMonitoringScheduleResponse, error)

Send marshals and sends the DeleteMonitoringSchedule API request.

type DeleteMonitoringScheduleResponse added in v0.18.0 

type DeleteMonitoringScheduleResponse struct {
	*DeleteMonitoringScheduleOutput
	// contains filtered or unexported fields
}

DeleteMonitoringScheduleResponse is the response type for the DeleteMonitoringSchedule API operation.

func (*DeleteMonitoringScheduleResponse) SDKResponseMetdata added in v0.18.0 

func (r *DeleteMonitoringScheduleResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteMonitoringSchedule request.

type DeleteNotebookInstanceInput 

type DeleteNotebookInstanceInput struct {

	// The name of the Amazon SageMaker notebook instance to delete.
	//
	// NotebookInstanceName is a required field
	NotebookInstanceName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteNotebookInstanceInput) String 

func (s DeleteNotebookInstanceInput) String() string

String returns the string representation

func (*DeleteNotebookInstanceInput) Validate 

func (s *DeleteNotebookInstanceInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteNotebookInstanceLifecycleConfigInput added in v0.4.0 

type DeleteNotebookInstanceLifecycleConfigInput struct {

	// The name of the lifecycle configuration to delete.
	//
	// NotebookInstanceLifecycleConfigName is a required field
	NotebookInstanceLifecycleConfigName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteNotebookInstanceLifecycleConfigInput) String added in v0.4.0 

func (s DeleteNotebookInstanceLifecycleConfigInput) String() string

String returns the string representation

func (*DeleteNotebookInstanceLifecycleConfigInput) Validate added in v0.4.0 

func (s *DeleteNotebookInstanceLifecycleConfigInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteNotebookInstanceLifecycleConfigOutput added in v0.4.0 

type DeleteNotebookInstanceLifecycleConfigOutput struct {
	// contains filtered or unexported fields
}

func (DeleteNotebookInstanceLifecycleConfigOutput) String added in v0.4.0 

func (s DeleteNotebookInstanceLifecycleConfigOutput) String() string

String returns the string representation

type DeleteNotebookInstanceLifecycleConfigRequest added in v0.4.0 

type DeleteNotebookInstanceLifecycleConfigRequest struct {
	*aws.Request
	Input *DeleteNotebookInstanceLifecycleConfigInput
	Copy  func(*DeleteNotebookInstanceLifecycleConfigInput) DeleteNotebookInstanceLifecycleConfigRequest
}

DeleteNotebookInstanceLifecycleConfigRequest is the request type for the DeleteNotebookInstanceLifecycleConfig API operation.

func (DeleteNotebookInstanceLifecycleConfigRequest) Send added in v0.4.0 

func (r DeleteNotebookInstanceLifecycleConfigRequest) Send(ctx context.Context) (*DeleteNotebookInstanceLifecycleConfigResponse, error)

Send marshals and sends the DeleteNotebookInstanceLifecycleConfig API request.

type DeleteNotebookInstanceLifecycleConfigResponse added in v0.9.0 

type DeleteNotebookInstanceLifecycleConfigResponse struct {
	*DeleteNotebookInstanceLifecycleConfigOutput
	// contains filtered or unexported fields
}

DeleteNotebookInstanceLifecycleConfigResponse is the response type for the DeleteNotebookInstanceLifecycleConfig API operation.

func (*DeleteNotebookInstanceLifecycleConfigResponse) SDKResponseMetdata added in v0.9.0 

func (r *DeleteNotebookInstanceLifecycleConfigResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteNotebookInstanceLifecycleConfig request.

type DeleteNotebookInstanceOutput 

type DeleteNotebookInstanceOutput struct {
	// contains filtered or unexported fields
}

func (DeleteNotebookInstanceOutput) String 

func (s DeleteNotebookInstanceOutput) String() string

String returns the string representation

type DeleteNotebookInstanceRequest 

type DeleteNotebookInstanceRequest struct {
	*aws.Request
	Input *DeleteNotebookInstanceInput
	Copy  func(*DeleteNotebookInstanceInput) DeleteNotebookInstanceRequest
}

DeleteNotebookInstanceRequest is the request type for the DeleteNotebookInstance API operation.

func (DeleteNotebookInstanceRequest) Send 

func (r DeleteNotebookInstanceRequest) Send(ctx context.Context) (*DeleteNotebookInstanceResponse, error)

Send marshals and sends the DeleteNotebookInstance API request.

type DeleteNotebookInstanceResponse added in v0.9.0 

type DeleteNotebookInstanceResponse struct {
	*DeleteNotebookInstanceOutput
	// contains filtered or unexported fields
}

DeleteNotebookInstanceResponse is the response type for the DeleteNotebookInstance API operation.

func (*DeleteNotebookInstanceResponse) SDKResponseMetdata added in v0.9.0 

func (r *DeleteNotebookInstanceResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteNotebookInstance request.

type DeleteTagsInput 

type DeleteTagsInput struct {

	// The Amazon Resource Name (ARN) of the resource whose tags you want to delete.
	//
	// ResourceArn is a required field
	ResourceArn *string `type:"string" required:"true"`

	// An array or one or more tag keys to delete.
	//
	// TagKeys is a required field
	TagKeys []string `min:"1" type:"list" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteTagsInput) String 

func (s DeleteTagsInput) String() string

String returns the string representation

func (*DeleteTagsInput) Validate 

func (s *DeleteTagsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteTagsOutput 

type DeleteTagsOutput struct {
	// contains filtered or unexported fields
}

func (DeleteTagsOutput) String 

func (s DeleteTagsOutput) String() string

String returns the string representation

type DeleteTagsRequest 

type DeleteTagsRequest struct {
	*aws.Request
	Input *DeleteTagsInput
	Copy  func(*DeleteTagsInput) DeleteTagsRequest
}

DeleteTagsRequest is the request type for the DeleteTags API operation.

func (DeleteTagsRequest) Send 

func (r DeleteTagsRequest) Send(ctx context.Context) (*DeleteTagsResponse, error)

Send marshals and sends the DeleteTags API request.

type DeleteTagsResponse added in v0.9.0 

type DeleteTagsResponse struct {
	*DeleteTagsOutput
	// contains filtered or unexported fields
}

DeleteTagsResponse is the response type for the DeleteTags API operation.

func (*DeleteTagsResponse) SDKResponseMetdata added in v0.9.0 

func (r *DeleteTagsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteTags request.

type DeleteTrialComponentInput added in v0.18.0 

type DeleteTrialComponentInput struct {

	// The name of the component to delete.
	//
	// TrialComponentName is a required field
	TrialComponentName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteTrialComponentInput) String added in v0.18.0 

func (s DeleteTrialComponentInput) String() string

String returns the string representation

func (*DeleteTrialComponentInput) Validate added in v0.18.0 

func (s *DeleteTrialComponentInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteTrialComponentOutput added in v0.18.0 

type DeleteTrialComponentOutput struct {

	// The Amazon Resource Name (ARN) of the component is being deleted.
	TrialComponentArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (DeleteTrialComponentOutput) String added in v0.18.0 

func (s DeleteTrialComponentOutput) String() string

String returns the string representation

type DeleteTrialComponentRequest added in v0.18.0 

type DeleteTrialComponentRequest struct {
	*aws.Request
	Input *DeleteTrialComponentInput
	Copy  func(*DeleteTrialComponentInput) DeleteTrialComponentRequest
}

DeleteTrialComponentRequest is the request type for the DeleteTrialComponent API operation.

func (DeleteTrialComponentRequest) Send added in v0.18.0 

func (r DeleteTrialComponentRequest) Send(ctx context.Context) (*DeleteTrialComponentResponse, error)

Send marshals and sends the DeleteTrialComponent API request.

type DeleteTrialComponentResponse added in v0.18.0 

type DeleteTrialComponentResponse struct {
	*DeleteTrialComponentOutput
	// contains filtered or unexported fields
}

DeleteTrialComponentResponse is the response type for the DeleteTrialComponent API operation.

func (*DeleteTrialComponentResponse) SDKResponseMetdata added in v0.18.0 

func (r *DeleteTrialComponentResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteTrialComponent request.

type DeleteTrialInput added in v0.18.0 

type DeleteTrialInput struct {

	// The name of the trial to delete.
	//
	// TrialName is a required field
	TrialName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteTrialInput) String added in v0.18.0 

func (s DeleteTrialInput) String() string

String returns the string representation

func (*DeleteTrialInput) Validate added in v0.18.0 

func (s *DeleteTrialInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteTrialOutput added in v0.18.0 

type DeleteTrialOutput struct {

	// The Amazon Resource Name (ARN) of the trial that is being deleted.
	TrialArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (DeleteTrialOutput) String added in v0.18.0 

func (s DeleteTrialOutput) String() string

String returns the string representation

type DeleteTrialRequest added in v0.18.0 

type DeleteTrialRequest struct {
	*aws.Request
	Input *DeleteTrialInput
	Copy  func(*DeleteTrialInput) DeleteTrialRequest
}

DeleteTrialRequest is the request type for the DeleteTrial API operation.

func (DeleteTrialRequest) Send added in v0.18.0 

func (r DeleteTrialRequest) Send(ctx context.Context) (*DeleteTrialResponse, error)

Send marshals and sends the DeleteTrial API request.

type DeleteTrialResponse added in v0.18.0 

type DeleteTrialResponse struct {
	*DeleteTrialOutput
	// contains filtered or unexported fields
}

DeleteTrialResponse is the response type for the DeleteTrial API operation.

func (*DeleteTrialResponse) SDKResponseMetdata added in v0.18.0 

func (r *DeleteTrialResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteTrial request.

type DeleteUserProfileInput added in v0.18.0 

type DeleteUserProfileInput struct {

	// The domain ID.
	//
	// DomainId is a required field
	DomainId *string `type:"string" required:"true"`

	// The user profile name.
	//
	// UserProfileName is a required field
	UserProfileName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteUserProfileInput) String added in v0.18.0 

func (s DeleteUserProfileInput) String() string

String returns the string representation

func (*DeleteUserProfileInput) Validate added in v0.18.0 

func (s *DeleteUserProfileInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteUserProfileOutput added in v0.18.0 

type DeleteUserProfileOutput struct {
	// contains filtered or unexported fields
}

func (DeleteUserProfileOutput) String added in v0.18.0 

func (s DeleteUserProfileOutput) String() string

String returns the string representation

type DeleteUserProfileRequest added in v0.18.0 

type DeleteUserProfileRequest struct {
	*aws.Request
	Input *DeleteUserProfileInput
	Copy  func(*DeleteUserProfileInput) DeleteUserProfileRequest
}

DeleteUserProfileRequest is the request type for the DeleteUserProfile API operation.

func (DeleteUserProfileRequest) Send added in v0.18.0 

func (r DeleteUserProfileRequest) Send(ctx context.Context) (*DeleteUserProfileResponse, error)

Send marshals and sends the DeleteUserProfile API request.

type DeleteUserProfileResponse added in v0.18.0 

type DeleteUserProfileResponse struct {
	*DeleteUserProfileOutput
	// contains filtered or unexported fields
}

DeleteUserProfileResponse is the response type for the DeleteUserProfile API operation.

func (*DeleteUserProfileResponse) SDKResponseMetdata added in v0.18.0 

func (r *DeleteUserProfileResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteUserProfile request.

type DeleteWorkteamInput added in v0.6.0 

type DeleteWorkteamInput struct {

	// The name of the work team to delete.
	//
	// WorkteamName is a required field
	WorkteamName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteWorkteamInput) String added in v0.6.0 

func (s DeleteWorkteamInput) String() string

String returns the string representation

func (*DeleteWorkteamInput) Validate added in v0.6.0 

func (s *DeleteWorkteamInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteWorkteamOutput added in v0.6.0 

type DeleteWorkteamOutput struct {

	// Returns true if the work team was successfully deleted; otherwise, returns
	// false.
	//
	// Success is a required field
	Success *bool `type:"boolean" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteWorkteamOutput) String added in v0.6.0 

func (s DeleteWorkteamOutput) String() string

String returns the string representation

type DeleteWorkteamRequest added in v0.6.0 

type DeleteWorkteamRequest struct {
	*aws.Request
	Input *DeleteWorkteamInput
	Copy  func(*DeleteWorkteamInput) DeleteWorkteamRequest
}

DeleteWorkteamRequest is the request type for the DeleteWorkteam API operation.

func (DeleteWorkteamRequest) Send added in v0.6.0 

func (r DeleteWorkteamRequest) Send(ctx context.Context) (*DeleteWorkteamResponse, error)

Send marshals and sends the DeleteWorkteam API request.

type DeleteWorkteamResponse added in v0.9.0 

type DeleteWorkteamResponse struct {
	*DeleteWorkteamOutput
	// contains filtered or unexported fields
}

DeleteWorkteamResponse is the response type for the DeleteWorkteam API operation.

func (*DeleteWorkteamResponse) SDKResponseMetdata added in v0.9.0 

func (r *DeleteWorkteamResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteWorkteam request.

type DeployedImage added in v0.5.0 

type DeployedImage struct {

	// The date and time when the image path for the model resolved to the ResolvedImage
	ResolutionTime *time.Time `type:"timestamp"`

	// The specific digest path of the image hosted in this ProductionVariant.
	ResolvedImage *string `type:"string"`

	// The image path you specified when you created the model.
	SpecifiedImage *string `type:"string"`
	// contains filtered or unexported fields
}

Gets the Amazon EC2 Container Registry path of the docker image of the model that is hosted in this ProductionVariant.

If you used the registry/repository[:tag] form to specify the image path of the primary container when you created the model hosted in this ProductionVariant, the path resolves to a path of the form registry/repository[@digest]. A digest is a hash value that identifies a specific version of an image. For information about Amazon ECR paths, see Pulling an Image (https://docs.aws.amazon.com/AmazonECR/latest/userguide/docker-pull-ecr-image.html) in the Amazon ECR User Guide.

func (DeployedImage) String added in v0.5.0 

func (s DeployedImage) String() string

String returns the string representation

type DescribeAlgorithmInput added in v0.6.0 

type DescribeAlgorithmInput struct {

	// The name of the algorithm to describe.
	//
	// AlgorithmName is a required field
	AlgorithmName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeAlgorithmInput) String added in v0.6.0 

func (s DescribeAlgorithmInput) String() string

String returns the string representation

func (*DescribeAlgorithmInput) Validate added in v0.6.0 

func (s *DescribeAlgorithmInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeAlgorithmOutput added in v0.6.0 

type DescribeAlgorithmOutput struct {

	// The Amazon Resource Name (ARN) of the algorithm.
	//
	// AlgorithmArn is a required field
	AlgorithmArn *string `min:"1" type:"string" required:"true"`

	// A brief summary about the algorithm.
	AlgorithmDescription *string `type:"string"`

	// The name of the algorithm being described.
	//
	// AlgorithmName is a required field
	AlgorithmName *string `min:"1" type:"string" required:"true"`

	// The current status of the algorithm.
	//
	// AlgorithmStatus is a required field
	AlgorithmStatus AlgorithmStatus `type:"string" required:"true" enum:"true"`

	// Details about the current status of the algorithm.
	//
	// AlgorithmStatusDetails is a required field
	AlgorithmStatusDetails *AlgorithmStatusDetails `type:"structure" required:"true"`

	// Whether the algorithm is certified to be listed in AWS Marketplace.
	CertifyForMarketplace *bool `type:"boolean"`

	// A timestamp specifying when the algorithm was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// Details about inference jobs that the algorithm runs.
	InferenceSpecification *InferenceSpecification `type:"structure"`

	// The product identifier of the algorithm.
	ProductId *string `type:"string"`

	// Details about training jobs run by this algorithm.
	//
	// TrainingSpecification is a required field
	TrainingSpecification *TrainingSpecification `type:"structure" required:"true"`

	// Details about configurations for one or more training jobs that Amazon SageMaker
	// runs to test the algorithm.
	ValidationSpecification *AlgorithmValidationSpecification `type:"structure"`
	// contains filtered or unexported fields
}

func (DescribeAlgorithmOutput) String added in v0.6.0 

func (s DescribeAlgorithmOutput) String() string

String returns the string representation

type DescribeAlgorithmRequest added in v0.6.0 

type DescribeAlgorithmRequest struct {
	*aws.Request
	Input *DescribeAlgorithmInput
	Copy  func(*DescribeAlgorithmInput) DescribeAlgorithmRequest
}

DescribeAlgorithmRequest is the request type for the DescribeAlgorithm API operation.

func (DescribeAlgorithmRequest) Send added in v0.6.0 

func (r DescribeAlgorithmRequest) Send(ctx context.Context) (*DescribeAlgorithmResponse, error)

Send marshals and sends the DescribeAlgorithm API request.

type DescribeAlgorithmResponse added in v0.9.0 

type DescribeAlgorithmResponse struct {
	*DescribeAlgorithmOutput
	// contains filtered or unexported fields
}

DescribeAlgorithmResponse is the response type for the DescribeAlgorithm API operation.

func (*DescribeAlgorithmResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeAlgorithmResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeAlgorithm request.

type DescribeAppInput added in v0.18.0 

type DescribeAppInput struct {

	// The name of the app.
	//
	// AppName is a required field
	AppName *string `type:"string" required:"true"`

	// The type of app.
	//
	// AppType is a required field
	AppType AppType `type:"string" required:"true" enum:"true"`

	// The domain ID.
	//
	// DomainId is a required field
	DomainId *string `type:"string" required:"true"`

	// The user profile name.
	//
	// UserProfileName is a required field
	UserProfileName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeAppInput) String added in v0.18.0 

func (s DescribeAppInput) String() string

String returns the string representation

func (*DescribeAppInput) Validate added in v0.18.0 

func (s *DescribeAppInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeAppOutput added in v0.18.0 

type DescribeAppOutput struct {

	// The app's Amazon Resource Name (ARN).
	AppArn *string `type:"string"`

	// The name of the app.
	AppName *string `type:"string"`

	// The type of app.
	AppType AppType `type:"string" enum:"true"`

	// The creation time.
	CreationTime *time.Time `type:"timestamp"`

	// The domain ID.
	DomainId *string `type:"string"`

	// The failure reason.
	FailureReason *string `type:"string"`

	// The timestamp of the last health check.
	LastHealthCheckTimestamp *time.Time `type:"timestamp"`

	// The timestamp of the last user's activity.
	LastUserActivityTimestamp *time.Time `type:"timestamp"`

	// The instance type and the Amazon Resource Name (ARN) of the SageMaker image
	// created on the instance.
	ResourceSpec *ResourceSpec `type:"structure"`

	// The status.
	Status AppStatus `type:"string" enum:"true"`

	// The user profile name.
	UserProfileName *string `type:"string"`
	// contains filtered or unexported fields
}

func (DescribeAppOutput) String added in v0.18.0 

func (s DescribeAppOutput) String() string

String returns the string representation

type DescribeAppRequest added in v0.18.0 

type DescribeAppRequest struct {
	*aws.Request
	Input *DescribeAppInput
	Copy  func(*DescribeAppInput) DescribeAppRequest
}

DescribeAppRequest is the request type for the DescribeApp API operation.

func (DescribeAppRequest) Send added in v0.18.0 

func (r DescribeAppRequest) Send(ctx context.Context) (*DescribeAppResponse, error)

Send marshals and sends the DescribeApp API request.

type DescribeAppResponse added in v0.18.0 

type DescribeAppResponse struct {
	*DescribeAppOutput
	// contains filtered or unexported fields
}

DescribeAppResponse is the response type for the DescribeApp API operation.

func (*DescribeAppResponse) SDKResponseMetdata added in v0.18.0 

func (r *DescribeAppResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeApp request.

type DescribeAutoMLJobInput added in v0.18.0 

type DescribeAutoMLJobInput struct {

	// Request information about a job using that job's unique name.
	//
	// AutoMLJobName is a required field
	AutoMLJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeAutoMLJobInput) String added in v0.18.0 

func (s DescribeAutoMLJobInput) String() string

String returns the string representation

func (*DescribeAutoMLJobInput) Validate added in v0.18.0 

func (s *DescribeAutoMLJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeAutoMLJobOutput added in v0.18.0 

type DescribeAutoMLJobOutput struct {

	// Returns the job's ARN.
	//
	// AutoMLJobArn is a required field
	AutoMLJobArn *string `min:"1" type:"string" required:"true"`

	// Returns information on the job's artifacts found in AutoMLJobArtifacts.
	AutoMLJobArtifacts *AutoMLJobArtifacts `type:"structure"`

	// Returns the job's config.
	AutoMLJobConfig *AutoMLJobConfig `type:"structure"`

	// Returns the name of a job.
	//
	// AutoMLJobName is a required field
	AutoMLJobName *string `min:"1" type:"string" required:"true"`

	// Returns the job's objective.
	AutoMLJobObjective *AutoMLJobObjective `type:"structure"`

	// Returns the job's AutoMLJobSecondaryStatus.
	//
	// AutoMLJobSecondaryStatus is a required field
	AutoMLJobSecondaryStatus AutoMLJobSecondaryStatus `type:"string" required:"true" enum:"true"`

	// Returns the job's AutoMLJobStatus.
	//
	// AutoMLJobStatus is a required field
	AutoMLJobStatus AutoMLJobStatus `type:"string" required:"true" enum:"true"`

	// Returns the job's BestCandidate.
	BestCandidate *AutoMLCandidate `type:"structure"`

	// Returns the job's creation time.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// Returns the job's end time.
	EndTime *time.Time `type:"timestamp"`

	// Returns the job's FailureReason.
	FailureReason *string `type:"string"`

	// Returns the job's output from GenerateCandidateDefinitionsOnly.
	GenerateCandidateDefinitionsOnly *bool `type:"boolean"`

	// Returns the job's input data config.
	//
	// InputDataConfig is a required field
	InputDataConfig []AutoMLChannel `min:"1" type:"list" required:"true"`

	// Returns the job's last modified time.
	//
	// LastModifiedTime is a required field
	LastModifiedTime *time.Time `type:"timestamp" required:"true"`

	// Returns the job's output data config.
	//
	// OutputDataConfig is a required field
	OutputDataConfig *AutoMLOutputDataConfig `type:"structure" required:"true"`

	// Returns the job's problem type.
	ProblemType ProblemType `type:"string" enum:"true"`

	// This contains ProblemType, AutoMLJobObjective and CompletionCriteria. They're
	// auto-inferred values, if not provided by you. If you do provide them, then
	// they'll be the same as provided.
	ResolvedAttributes *ResolvedAttributes `type:"structure"`

	// The Amazon Resource Name (ARN) of the AWS Identity and Access Management
	// (IAM) role that has read permission to the input data location and write
	// permission to the output data location in Amazon S3.
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeAutoMLJobOutput) String added in v0.18.0 

func (s DescribeAutoMLJobOutput) String() string

String returns the string representation

type DescribeAutoMLJobRequest added in v0.18.0 

type DescribeAutoMLJobRequest struct {
	*aws.Request
	Input *DescribeAutoMLJobInput
	Copy  func(*DescribeAutoMLJobInput) DescribeAutoMLJobRequest
}

DescribeAutoMLJobRequest is the request type for the DescribeAutoMLJob API operation.

func (DescribeAutoMLJobRequest) Send added in v0.18.0 

func (r DescribeAutoMLJobRequest) Send(ctx context.Context) (*DescribeAutoMLJobResponse, error)

Send marshals and sends the DescribeAutoMLJob API request.

type DescribeAutoMLJobResponse added in v0.18.0 

type DescribeAutoMLJobResponse struct {
	*DescribeAutoMLJobOutput
	// contains filtered or unexported fields
}

DescribeAutoMLJobResponse is the response type for the DescribeAutoMLJob API operation.

func (*DescribeAutoMLJobResponse) SDKResponseMetdata added in v0.18.0 

func (r *DescribeAutoMLJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeAutoMLJob request.

type DescribeCodeRepositoryInput added in v0.6.0 

type DescribeCodeRepositoryInput struct {

	// The name of the Git repository to describe.
	//
	// CodeRepositoryName is a required field
	CodeRepositoryName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeCodeRepositoryInput) String added in v0.6.0 

func (s DescribeCodeRepositoryInput) String() string

String returns the string representation

func (*DescribeCodeRepositoryInput) Validate added in v0.6.0 

func (s *DescribeCodeRepositoryInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeCodeRepositoryOutput added in v0.6.0 

type DescribeCodeRepositoryOutput struct {

	// The Amazon Resource Name (ARN) of the Git repository.
	//
	// CodeRepositoryArn is a required field
	CodeRepositoryArn *string `min:"1" type:"string" required:"true"`

	// The name of the Git repository.
	//
	// CodeRepositoryName is a required field
	CodeRepositoryName *string `min:"1" type:"string" required:"true"`

	// The date and time that the repository was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// Configuration details about the repository, including the URL where the repository
	// is located, the default branch, and the Amazon Resource Name (ARN) of the
	// AWS Secrets Manager secret that contains the credentials used to access the
	// repository.
	GitConfig *GitConfig `type:"structure"`

	// The date and time that the repository was last changed.
	//
	// LastModifiedTime is a required field
	LastModifiedTime *time.Time `type:"timestamp" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeCodeRepositoryOutput) String added in v0.6.0 

func (s DescribeCodeRepositoryOutput) String() string

String returns the string representation

type DescribeCodeRepositoryRequest added in v0.6.0 

type DescribeCodeRepositoryRequest struct {
	*aws.Request
	Input *DescribeCodeRepositoryInput
	Copy  func(*DescribeCodeRepositoryInput) DescribeCodeRepositoryRequest
}

DescribeCodeRepositoryRequest is the request type for the DescribeCodeRepository API operation.

func (DescribeCodeRepositoryRequest) Send added in v0.6.0 

func (r DescribeCodeRepositoryRequest) Send(ctx context.Context) (*DescribeCodeRepositoryResponse, error)

Send marshals and sends the DescribeCodeRepository API request.

type DescribeCodeRepositoryResponse added in v0.9.0 

type DescribeCodeRepositoryResponse struct {
	*DescribeCodeRepositoryOutput
	// contains filtered or unexported fields
}

DescribeCodeRepositoryResponse is the response type for the DescribeCodeRepository API operation.

func (*DescribeCodeRepositoryResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeCodeRepositoryResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeCodeRepository request.

type DescribeCompilationJobInput added in v0.6.0 

type DescribeCompilationJobInput struct {

	// The name of the model compilation job that you want information about.
	//
	// CompilationJobName is a required field
	CompilationJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeCompilationJobInput) String added in v0.6.0 

func (s DescribeCompilationJobInput) String() string

String returns the string representation

func (*DescribeCompilationJobInput) Validate added in v0.6.0 

func (s *DescribeCompilationJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeCompilationJobOutput added in v0.6.0 

type DescribeCompilationJobOutput struct {

	// The time when the model compilation job on a compilation job instance ended.
	// For a successful or stopped job, this is when the job's model artifacts have
	// finished uploading. For a failed job, this is when Amazon SageMaker detected
	// that the job failed.
	CompilationEndTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker assumes
	// to perform the model compilation job.
	//
	// CompilationJobArn is a required field
	CompilationJobArn *string `type:"string" required:"true"`

	// The name of the model compilation job.
	//
	// CompilationJobName is a required field
	CompilationJobName *string `min:"1" type:"string" required:"true"`

	// The status of the model compilation job.
	//
	// CompilationJobStatus is a required field
	CompilationJobStatus CompilationJobStatus `type:"string" required:"true" enum:"true"`

	// The time when the model compilation job started the CompilationJob instances.
	//
	// You are billed for the time between this timestamp and the timestamp in the
	// DescribeCompilationJobResponse$CompilationEndTime field. In Amazon CloudWatch
	// Logs, the start time might be later than this time. That's because it takes
	// time to download the compilation job, which depends on the size of the compilation
	// job container.
	CompilationStartTime *time.Time `type:"timestamp"`

	// The time that the model compilation job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// If a model compilation job failed, the reason it failed.
	//
	// FailureReason is a required field
	FailureReason *string `type:"string" required:"true"`

	// Information about the location in Amazon S3 of the input model artifacts,
	// the name and shape of the expected data inputs, and the framework in which
	// the model was trained.
	//
	// InputConfig is a required field
	InputConfig *InputConfig `type:"structure" required:"true"`

	// The time that the status of the model compilation job was last modified.
	//
	// LastModifiedTime is a required field
	LastModifiedTime *time.Time `type:"timestamp" required:"true"`

	// Information about the location in Amazon S3 that has been configured for
	// storing the model artifacts used in the compilation job.
	//
	// ModelArtifacts is a required field
	ModelArtifacts *ModelArtifacts `type:"structure" required:"true"`

	// Information about the output location for the compiled model and the target
	// device that the model runs on.
	//
	// OutputConfig is a required field
	OutputConfig *OutputConfig `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) of the model compilation job.
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"true"`

	// Specifies a limit to how long a model compilation job can run. When the job
	// reaches the time limit, Amazon SageMaker ends the compilation job. Use this
	// API to cap model training costs.
	//
	// StoppingCondition is a required field
	StoppingCondition *StoppingCondition `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeCompilationJobOutput) String added in v0.6.0 

func (s DescribeCompilationJobOutput) String() string

String returns the string representation

type DescribeCompilationJobRequest added in v0.6.0 

type DescribeCompilationJobRequest struct {
	*aws.Request
	Input *DescribeCompilationJobInput
	Copy  func(*DescribeCompilationJobInput) DescribeCompilationJobRequest
}

DescribeCompilationJobRequest is the request type for the DescribeCompilationJob API operation.

func (DescribeCompilationJobRequest) Send added in v0.6.0 

func (r DescribeCompilationJobRequest) Send(ctx context.Context) (*DescribeCompilationJobResponse, error)

Send marshals and sends the DescribeCompilationJob API request.

type DescribeCompilationJobResponse added in v0.9.0 

type DescribeCompilationJobResponse struct {
	*DescribeCompilationJobOutput
	// contains filtered or unexported fields
}

DescribeCompilationJobResponse is the response type for the DescribeCompilationJob API operation.

func (*DescribeCompilationJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeCompilationJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeCompilationJob request.

type DescribeDomainInput added in v0.18.0 

type DescribeDomainInput struct {

	// The domain ID.
	//
	// DomainId is a required field
	DomainId *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeDomainInput) String added in v0.18.0 

func (s DescribeDomainInput) String() string

String returns the string representation

func (*DescribeDomainInput) Validate added in v0.18.0 

func (s *DescribeDomainInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeDomainOutput added in v0.18.0 

type DescribeDomainOutput struct {

	// The domain's authentication mode.
	AuthMode AuthMode `type:"string" enum:"true"`

	// The creation time.
	CreationTime *time.Time `type:"timestamp"`

	// Settings which are applied to all UserProfile in this domain, if settings
	// are not explicitly specified in a given UserProfile.
	DefaultUserSettings *UserSettings `type:"structure"`

	// The domain's Amazon Resource Name (ARN).
	DomainArn *string `type:"string"`

	// The domain ID.
	DomainId *string `type:"string"`

	// The domain name.
	DomainName *string `type:"string"`

	// The failure reason.
	FailureReason *string `type:"string"`

	// The ID of the Amazon Elastic File System (EFS) managed by this Domain.
	HomeEfsFileSystemId *string `type:"string"`

	// The AWS Key Management Service encryption key ID.
	HomeEfsFileSystemKmsKeyId *string `type:"string"`

	// The last modified time.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The SSO managed application instance ID.
	SingleSignOnManagedApplicationInstanceId *string `type:"string"`

	// The status.
	Status DomainStatus `type:"string" enum:"true"`

	// Security setting to limit to a set of subnets.
	SubnetIds []string `min:"1" type:"list"`

	// The domain's URL.
	Url *string `type:"string"`

	// The ID of the Amazon Virtual Private Cloud.
	VpcId *string `type:"string"`
	// contains filtered or unexported fields
}

func (DescribeDomainOutput) String added in v0.18.0 

func (s DescribeDomainOutput) String() string

String returns the string representation

type DescribeDomainRequest added in v0.18.0 

type DescribeDomainRequest struct {
	*aws.Request
	Input *DescribeDomainInput
	Copy  func(*DescribeDomainInput) DescribeDomainRequest
}

DescribeDomainRequest is the request type for the DescribeDomain API operation.

func (DescribeDomainRequest) Send added in v0.18.0 

func (r DescribeDomainRequest) Send(ctx context.Context) (*DescribeDomainResponse, error)

Send marshals and sends the DescribeDomain API request.

type DescribeDomainResponse added in v0.18.0 

type DescribeDomainResponse struct {
	*DescribeDomainOutput
	// contains filtered or unexported fields
}

DescribeDomainResponse is the response type for the DescribeDomain API operation.

func (*DescribeDomainResponse) SDKResponseMetdata added in v0.18.0 

func (r *DescribeDomainResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeDomain request.

type DescribeEndpointConfigInput 

type DescribeEndpointConfigInput struct {

	// The name of the endpoint configuration.
	//
	// EndpointConfigName is a required field
	EndpointConfigName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeEndpointConfigInput) String 

func (s DescribeEndpointConfigInput) String() string

String returns the string representation

func (*DescribeEndpointConfigInput) Validate 

func (s *DescribeEndpointConfigInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeEndpointConfigOutput 

type DescribeEndpointConfigOutput struct {

	// A timestamp that shows when the endpoint configuration was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	DataCaptureConfig *DataCaptureConfig `type:"structure"`

	// The Amazon Resource Name (ARN) of the endpoint configuration.
	//
	// EndpointConfigArn is a required field
	EndpointConfigArn *string `min:"20" type:"string" required:"true"`

	// Name of the Amazon SageMaker endpoint configuration.
	//
	// EndpointConfigName is a required field
	EndpointConfigName *string `type:"string" required:"true"`

	// AWS KMS key ID Amazon SageMaker uses to encrypt data when storing it on the
	// ML storage volume attached to the instance.
	KmsKeyId *string `type:"string"`

	// An array of ProductionVariant objects, one for each model that you want to
	// host at this endpoint.
	//
	// ProductionVariants is a required field
	ProductionVariants []ProductionVariant `min:"1" type:"list" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeEndpointConfigOutput) String 

func (s DescribeEndpointConfigOutput) String() string

String returns the string representation

type DescribeEndpointConfigRequest 

type DescribeEndpointConfigRequest struct {
	*aws.Request
	Input *DescribeEndpointConfigInput
	Copy  func(*DescribeEndpointConfigInput) DescribeEndpointConfigRequest
}

DescribeEndpointConfigRequest is the request type for the DescribeEndpointConfig API operation.

func (DescribeEndpointConfigRequest) Send 

func (r DescribeEndpointConfigRequest) Send(ctx context.Context) (*DescribeEndpointConfigResponse, error)

Send marshals and sends the DescribeEndpointConfig API request.

type DescribeEndpointConfigResponse added in v0.9.0 

type DescribeEndpointConfigResponse struct {
	*DescribeEndpointConfigOutput
	// contains filtered or unexported fields
}

DescribeEndpointConfigResponse is the response type for the DescribeEndpointConfig API operation.

func (*DescribeEndpointConfigResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeEndpointConfigResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeEndpointConfig request.

type DescribeEndpointInput 

type DescribeEndpointInput struct {

	// The name of the endpoint.
	//
	// EndpointName is a required field
	EndpointName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeEndpointInput) String 

func (s DescribeEndpointInput) String() string

String returns the string representation

func (*DescribeEndpointInput) Validate 

func (s *DescribeEndpointInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeEndpointOutput 

type DescribeEndpointOutput struct {

	// A timestamp that shows when the endpoint was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	DataCaptureConfig *DataCaptureConfigSummary `type:"structure"`

	// The Amazon Resource Name (ARN) of the endpoint.
	//
	// EndpointArn is a required field
	EndpointArn *string `min:"20" type:"string" required:"true"`

	// The name of the endpoint configuration associated with this endpoint.
	//
	// EndpointConfigName is a required field
	EndpointConfigName *string `type:"string" required:"true"`

	// Name of the endpoint.
	//
	// EndpointName is a required field
	EndpointName *string `type:"string" required:"true"`

	// The status of the endpoint.
	//
	//    * OutOfService: Endpoint is not available to take incoming requests.
	//
	//    * Creating: CreateEndpoint is executing.
	//
	//    * Updating: UpdateEndpoint or UpdateEndpointWeightsAndCapacities is executing.
	//
	//    * SystemUpdating: Endpoint is undergoing maintenance and cannot be updated
	//    or deleted or re-scaled until it has completed. This maintenance operation
	//    does not change any customer-specified values such as VPC config, KMS
	//    encryption, model, instance type, or instance count.
	//
	//    * RollingBack: Endpoint fails to scale up or down or change its variant
	//    weight and is in the process of rolling back to its previous configuration.
	//    Once the rollback completes, endpoint returns to an InService status.
	//    This transitional status only applies to an endpoint that has autoscaling
	//    enabled and is undergoing variant weight or capacity changes as part of
	//    an UpdateEndpointWeightsAndCapacities call or when the UpdateEndpointWeightsAndCapacities
	//    operation is called explicitly.
	//
	//    * InService: Endpoint is available to process incoming requests.
	//
	//    * Deleting: DeleteEndpoint is executing.
	//
	//    * Failed: Endpoint could not be created, updated, or re-scaled. Use DescribeEndpointOutput$FailureReason
	//    for information about the failure. DeleteEndpoint is the only operation
	//    that can be performed on a failed endpoint.
	//
	// EndpointStatus is a required field
	EndpointStatus EndpointStatus `type:"string" required:"true" enum:"true"`

	// If the status of the endpoint is Failed, the reason why it failed.
	FailureReason *string `type:"string"`

	// A timestamp that shows when the endpoint was last modified.
	//
	// LastModifiedTime is a required field
	LastModifiedTime *time.Time `type:"timestamp" required:"true"`

	// An array of ProductionVariantSummary objects, one for each model hosted behind
	// this endpoint.
	ProductionVariants []ProductionVariantSummary `min:"1" type:"list"`
	// contains filtered or unexported fields
}

func (DescribeEndpointOutput) String 

func (s DescribeEndpointOutput) String() string

String returns the string representation

type DescribeEndpointRequest 

type DescribeEndpointRequest struct {
	*aws.Request
	Input *DescribeEndpointInput
	Copy  func(*DescribeEndpointInput) DescribeEndpointRequest
}

DescribeEndpointRequest is the request type for the DescribeEndpoint API operation.

func (DescribeEndpointRequest) Send 

func (r DescribeEndpointRequest) Send(ctx context.Context) (*DescribeEndpointResponse, error)

Send marshals and sends the DescribeEndpoint API request.

type DescribeEndpointResponse added in v0.9.0 

type DescribeEndpointResponse struct {
	*DescribeEndpointOutput
	// contains filtered or unexported fields
}

DescribeEndpointResponse is the response type for the DescribeEndpoint API operation.

func (*DescribeEndpointResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeEndpointResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeEndpoint request.

type DescribeExperimentInput added in v0.18.0 

type DescribeExperimentInput struct {

	// The name of the experiment to describe.
	//
	// ExperimentName is a required field
	ExperimentName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeExperimentInput) String added in v0.18.0 

func (s DescribeExperimentInput) String() string

String returns the string representation

func (*DescribeExperimentInput) Validate added in v0.18.0 

func (s *DescribeExperimentInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeExperimentOutput added in v0.18.0 

type DescribeExperimentOutput struct {

	// Who created the experiment.
	CreatedBy *UserContext `type:"structure"`

	// When the experiment was created.
	CreationTime *time.Time `type:"timestamp"`

	// The description of the experiment.
	Description *string `type:"string"`

	// The name of the experiment as displayed. If DisplayName isn't specified,
	// ExperimentName is displayed.
	DisplayName *string `min:"1" type:"string"`

	// The Amazon Resource Name (ARN) of the experiment.
	ExperimentArn *string `type:"string"`

	// The name of the experiment.
	ExperimentName *string `min:"1" type:"string"`

	// Who last modified the experiment.
	LastModifiedBy *UserContext `type:"structure"`

	// When the experiment was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The ARN of the source and, optionally, the type.
	Source *ExperimentSource `type:"structure"`
	// contains filtered or unexported fields
}

func (DescribeExperimentOutput) String added in v0.18.0 

func (s DescribeExperimentOutput) String() string

String returns the string representation

type DescribeExperimentRequest added in v0.18.0 

type DescribeExperimentRequest struct {
	*aws.Request
	Input *DescribeExperimentInput
	Copy  func(*DescribeExperimentInput) DescribeExperimentRequest
}

DescribeExperimentRequest is the request type for the DescribeExperiment API operation.

func (DescribeExperimentRequest) Send added in v0.18.0 

func (r DescribeExperimentRequest) Send(ctx context.Context) (*DescribeExperimentResponse, error)

Send marshals and sends the DescribeExperiment API request.

type DescribeExperimentResponse added in v0.18.0 

type DescribeExperimentResponse struct {
	*DescribeExperimentOutput
	// contains filtered or unexported fields
}

DescribeExperimentResponse is the response type for the DescribeExperiment API operation.

func (*DescribeExperimentResponse) SDKResponseMetdata added in v0.18.0 

func (r *DescribeExperimentResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeExperiment request.

type DescribeFlowDefinitionInput added in v0.18.0 

type DescribeFlowDefinitionInput struct {

	// The name of the flow definition.
	//
	// FlowDefinitionName is a required field
	FlowDefinitionName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeFlowDefinitionInput) String added in v0.18.0 

func (s DescribeFlowDefinitionInput) String() string

String returns the string representation

func (*DescribeFlowDefinitionInput) Validate added in v0.18.0 

func (s *DescribeFlowDefinitionInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeFlowDefinitionOutput added in v0.18.0 

type DescribeFlowDefinitionOutput struct {

	// The timestamp when the flow definition was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The reason your flow definition failed.
	FailureReason *string `type:"string"`

	// The Amazon Resource Name (ARN) of the flow defintion.
	//
	// FlowDefinitionArn is a required field
	FlowDefinitionArn *string `type:"string" required:"true"`

	// The Amazon Resource Name (ARN) of the flow definition.
	//
	// FlowDefinitionName is a required field
	FlowDefinitionName *string `min:"1" type:"string" required:"true"`

	// The status of the flow definition. Valid values are listed below.
	//
	// FlowDefinitionStatus is a required field
	FlowDefinitionStatus FlowDefinitionStatus `type:"string" required:"true" enum:"true"`

	// An object containing information about what triggers a human review workflow.
	HumanLoopActivationConfig *HumanLoopActivationConfig `type:"structure"`

	// An object containing information about who works on the task, the workforce
	// task price, and other task details.
	//
	// HumanLoopConfig is a required field
	HumanLoopConfig *HumanLoopConfig `type:"structure" required:"true"`

	// Container for configuring the source of human task requests. Used to specify
	// if Amazon Rekognition or Amazon Textract is used as an integration source.
	HumanLoopRequestSource *HumanLoopRequestSource `type:"structure"`

	// An object containing information about the output file.
	//
	// OutputConfig is a required field
	OutputConfig *FlowDefinitionOutputConfig `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) of the AWS Identity and Access Management
	// (IAM) execution role for the flow definition.
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeFlowDefinitionOutput) String added in v0.18.0 

func (s DescribeFlowDefinitionOutput) String() string

String returns the string representation

type DescribeFlowDefinitionRequest added in v0.18.0 

type DescribeFlowDefinitionRequest struct {
	*aws.Request
	Input *DescribeFlowDefinitionInput
	Copy  func(*DescribeFlowDefinitionInput) DescribeFlowDefinitionRequest
}

DescribeFlowDefinitionRequest is the request type for the DescribeFlowDefinition API operation.

func (DescribeFlowDefinitionRequest) Send added in v0.18.0 

func (r DescribeFlowDefinitionRequest) Send(ctx context.Context) (*DescribeFlowDefinitionResponse, error)

Send marshals and sends the DescribeFlowDefinition API request.

type DescribeFlowDefinitionResponse added in v0.18.0 

type DescribeFlowDefinitionResponse struct {
	*DescribeFlowDefinitionOutput
	// contains filtered or unexported fields
}

DescribeFlowDefinitionResponse is the response type for the DescribeFlowDefinition API operation.

func (*DescribeFlowDefinitionResponse) SDKResponseMetdata added in v0.18.0 

func (r *DescribeFlowDefinitionResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeFlowDefinition request.

type DescribeHumanTaskUiInput added in v0.18.0 

type DescribeHumanTaskUiInput struct {

	// The name of the human task user interface (worker task template) you want
	// information about.
	//
	// HumanTaskUiName is a required field
	HumanTaskUiName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeHumanTaskUiInput) String added in v0.18.0 

func (s DescribeHumanTaskUiInput) String() string

String returns the string representation

func (*DescribeHumanTaskUiInput) Validate added in v0.18.0 

func (s *DescribeHumanTaskUiInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeHumanTaskUiOutput added in v0.18.0 

type DescribeHumanTaskUiOutput struct {

	// The timestamp when the human task user interface was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The Amazon Resource Name (ARN) of the human task user interface (worker task
	// template).
	//
	// HumanTaskUiArn is a required field
	HumanTaskUiArn *string `type:"string" required:"true"`

	// The name of the human task user interface (worker task template).
	//
	// HumanTaskUiName is a required field
	HumanTaskUiName *string `min:"1" type:"string" required:"true"`

	// The status of the human task user interface (worker task template). Valid
	// values are listed below.
	HumanTaskUiStatus HumanTaskUiStatus `type:"string" enum:"true"`

	// Container for user interface template information.
	//
	// UiTemplate is a required field
	UiTemplate *UiTemplateInfo `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeHumanTaskUiOutput) String added in v0.18.0 

func (s DescribeHumanTaskUiOutput) String() string

String returns the string representation

type DescribeHumanTaskUiRequest added in v0.18.0 

type DescribeHumanTaskUiRequest struct {
	*aws.Request
	Input *DescribeHumanTaskUiInput
	Copy  func(*DescribeHumanTaskUiInput) DescribeHumanTaskUiRequest
}

DescribeHumanTaskUiRequest is the request type for the DescribeHumanTaskUi API operation.

func (DescribeHumanTaskUiRequest) Send added in v0.18.0 

func (r DescribeHumanTaskUiRequest) Send(ctx context.Context) (*DescribeHumanTaskUiResponse, error)

Send marshals and sends the DescribeHumanTaskUi API request.

type DescribeHumanTaskUiResponse added in v0.18.0 

type DescribeHumanTaskUiResponse struct {
	*DescribeHumanTaskUiOutput
	// contains filtered or unexported fields
}

DescribeHumanTaskUiResponse is the response type for the DescribeHumanTaskUi API operation.

func (*DescribeHumanTaskUiResponse) SDKResponseMetdata added in v0.18.0 

func (r *DescribeHumanTaskUiResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeHumanTaskUi request.

type DescribeHyperParameterTuningJobInput added in v0.5.0 

type DescribeHyperParameterTuningJobInput struct {

	// The name of the tuning job.
	//
	// HyperParameterTuningJobName is a required field
	HyperParameterTuningJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeHyperParameterTuningJobInput) String added in v0.5.0 

func (s DescribeHyperParameterTuningJobInput) String() string

String returns the string representation

func (*DescribeHyperParameterTuningJobInput) Validate added in v0.5.0 

func (s *DescribeHyperParameterTuningJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeHyperParameterTuningJobOutput added in v0.5.0 

type DescribeHyperParameterTuningJobOutput struct {

	// A TrainingJobSummary object that describes the training job that completed
	// with the best current HyperParameterTuningJobObjective.
	BestTrainingJob *HyperParameterTrainingJobSummary `type:"structure"`

	// The date and time that the tuning job started.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// If the tuning job failed, the reason it failed.
	FailureReason *string `type:"string"`

	// The date and time that the tuning job ended.
	HyperParameterTuningEndTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the tuning job.
	//
	// HyperParameterTuningJobArn is a required field
	HyperParameterTuningJobArn *string `type:"string" required:"true"`

	// The HyperParameterTuningJobConfig object that specifies the configuration
	// of the tuning job.
	//
	// HyperParameterTuningJobConfig is a required field
	HyperParameterTuningJobConfig *HyperParameterTuningJobConfig `type:"structure" required:"true"`

	// The name of the tuning job.
	//
	// HyperParameterTuningJobName is a required field
	HyperParameterTuningJobName *string `min:"1" type:"string" required:"true"`

	// The status of the tuning job: InProgress, Completed, Failed, Stopping, or
	// Stopped.
	//
	// HyperParameterTuningJobStatus is a required field
	HyperParameterTuningJobStatus HyperParameterTuningJobStatus `type:"string" required:"true" enum:"true"`

	// The date and time that the status of the tuning job was modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The ObjectiveStatusCounters object that specifies the number of training
	// jobs, categorized by the status of their final objective metric, that this
	// tuning job launched.
	//
	// ObjectiveStatusCounters is a required field
	ObjectiveStatusCounters *ObjectiveStatusCounters `type:"structure" required:"true"`

	// If the hyperparameter tuning job is an warm start tuning job with a WarmStartType
	// of IDENTICAL_DATA_AND_ALGORITHM, this is the TrainingJobSummary for the training
	// job with the best objective metric value of all training jobs launched by
	// this tuning job and all parent jobs specified for the warm start tuning job.
	OverallBestTrainingJob *HyperParameterTrainingJobSummary `type:"structure"`

	// The HyperParameterTrainingJobDefinition object that specifies the definition
	// of the training jobs that this tuning job launches.
	TrainingJobDefinition *HyperParameterTrainingJobDefinition `type:"structure"`

	// A list of the HyperParameterTrainingJobDefinition objects launched for this
	// tuning job.
	TrainingJobDefinitions []HyperParameterTrainingJobDefinition `min:"1" type:"list"`

	// The TrainingJobStatusCounters object that specifies the number of training
	// jobs, categorized by status, that this tuning job launched.
	//
	// TrainingJobStatusCounters is a required field
	TrainingJobStatusCounters *TrainingJobStatusCounters `type:"structure" required:"true"`

	// The configuration for starting the hyperparameter parameter tuning job using
	// one or more previous tuning jobs as a starting point. The results of previous
	// tuning jobs are used to inform which combinations of hyperparameters to search
	// over in the new tuning job.
	WarmStartConfig *HyperParameterTuningJobWarmStartConfig `type:"structure"`
	// contains filtered or unexported fields
}

func (DescribeHyperParameterTuningJobOutput) String added in v0.5.0 

func (s DescribeHyperParameterTuningJobOutput) String() string

String returns the string representation

type DescribeHyperParameterTuningJobRequest added in v0.5.0 

type DescribeHyperParameterTuningJobRequest struct {
	*aws.Request
	Input *DescribeHyperParameterTuningJobInput
	Copy  func(*DescribeHyperParameterTuningJobInput) DescribeHyperParameterTuningJobRequest
}

DescribeHyperParameterTuningJobRequest is the request type for the DescribeHyperParameterTuningJob API operation.

func (DescribeHyperParameterTuningJobRequest) Send added in v0.5.0 

func (r DescribeHyperParameterTuningJobRequest) Send(ctx context.Context) (*DescribeHyperParameterTuningJobResponse, error)

Send marshals and sends the DescribeHyperParameterTuningJob API request.

type DescribeHyperParameterTuningJobResponse added in v0.9.0 

type DescribeHyperParameterTuningJobResponse struct {
	*DescribeHyperParameterTuningJobOutput
	// contains filtered or unexported fields
}

DescribeHyperParameterTuningJobResponse is the response type for the DescribeHyperParameterTuningJob API operation.

func (*DescribeHyperParameterTuningJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeHyperParameterTuningJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeHyperParameterTuningJob request.

type DescribeLabelingJobInput added in v0.6.0 

type DescribeLabelingJobInput struct {

	// The name of the labeling job to return information for.
	//
	// LabelingJobName is a required field
	LabelingJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeLabelingJobInput) String added in v0.6.0 

func (s DescribeLabelingJobInput) String() string

String returns the string representation

func (*DescribeLabelingJobInput) Validate added in v0.6.0 

func (s *DescribeLabelingJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeLabelingJobOutput added in v0.6.0 

type DescribeLabelingJobOutput struct {

	// The date and time that the labeling job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// If the job failed, the reason that it failed.
	FailureReason *string `type:"string"`

	// Configuration information required for human workers to complete a labeling
	// task.
	//
	// HumanTaskConfig is a required field
	HumanTaskConfig *HumanTaskConfig `type:"structure" required:"true"`

	// Input configuration information for the labeling job, such as the Amazon
	// S3 location of the data objects and the location of the manifest file that
	// describes the data objects.
	//
	// InputConfig is a required field
	InputConfig *LabelingJobInputConfig `type:"structure" required:"true"`

	// A unique identifier for work done as part of a labeling job.
	//
	// JobReferenceCode is a required field
	JobReferenceCode *string `min:"1" type:"string" required:"true"`

	// The attribute used as the label in the output manifest file.
	LabelAttributeName *string `min:"1" type:"string"`

	// The S3 location of the JSON file that defines the categories used to label
	// data objects. Please note the following label-category limits:
	//
	//    * Semantic segmentation labeling jobs using automated labeling: 20 labels
	//
	//    * Box bounding labeling jobs (all): 10 labels
	//
	// The file is a JSON structure in the following format:
	//
	// {
	//
	// "document-version": "2018-11-28"
	//
	// "labels": [
	//
	// {
	//
	// "label": "label 1"
	//
	// },
	//
	// {
	//
	// "label": "label 2"
	//
	// },
	//
	// ...
	//
	// {
	//
	// "label": "label n"
	//
	// }
	//
	// ]
	//
	// }
	LabelCategoryConfigS3Uri *string `type:"string"`

	// Provides a breakdown of the number of data objects labeled by humans, the
	// number of objects labeled by machine, the number of objects than couldn't
	// be labeled, and the total number of objects labeled.
	//
	// LabelCounters is a required field
	LabelCounters *LabelCounters `type:"structure" required:"true"`

	// Configuration information for automated data labeling.
	LabelingJobAlgorithmsConfig *LabelingJobAlgorithmsConfig `type:"structure"`

	// The Amazon Resource Name (ARN) of the labeling job.
	//
	// LabelingJobArn is a required field
	LabelingJobArn *string `type:"string" required:"true"`

	// The name assigned to the labeling job when it was created.
	//
	// LabelingJobName is a required field
	LabelingJobName *string `min:"1" type:"string" required:"true"`

	// The location of the output produced by the labeling job.
	LabelingJobOutput *LabelingJobOutput `type:"structure"`

	// The processing status of the labeling job.
	//
	// LabelingJobStatus is a required field
	LabelingJobStatus LabelingJobStatus `type:"string" required:"true" enum:"true"`

	// The date and time that the labeling job was last updated.
	//
	// LastModifiedTime is a required field
	LastModifiedTime *time.Time `type:"timestamp" required:"true"`

	// The location of the job's output data and the AWS Key Management Service
	// key ID for the key used to encrypt the output data, if any.
	//
	// OutputConfig is a required field
	OutputConfig *LabelingJobOutputConfig `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) that Amazon SageMaker assumes to perform tasks
	// on your behalf during data labeling.
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"true"`

	// A set of conditions for stopping a labeling job. If any of the conditions
	// are met, the job is automatically stopped.
	StoppingConditions *LabelingJobStoppingConditions `type:"structure"`

	// An array of key/value pairs. For more information, see Using Cost Allocation
	// Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what)
	// in the AWS Billing and Cost Management User Guide.
	Tags []Tag `type:"list"`
	// contains filtered or unexported fields
}

func (DescribeLabelingJobOutput) String added in v0.6.0 

func (s DescribeLabelingJobOutput) String() string

String returns the string representation

type DescribeLabelingJobRequest added in v0.6.0 

type DescribeLabelingJobRequest struct {
	*aws.Request
	Input *DescribeLabelingJobInput
	Copy  func(*DescribeLabelingJobInput) DescribeLabelingJobRequest
}

DescribeLabelingJobRequest is the request type for the DescribeLabelingJob API operation.

func (DescribeLabelingJobRequest) Send added in v0.6.0 

func (r DescribeLabelingJobRequest) Send(ctx context.Context) (*DescribeLabelingJobResponse, error)

Send marshals and sends the DescribeLabelingJob API request.

type DescribeLabelingJobResponse added in v0.9.0 

type DescribeLabelingJobResponse struct {
	*DescribeLabelingJobOutput
	// contains filtered or unexported fields
}

DescribeLabelingJobResponse is the response type for the DescribeLabelingJob API operation.

func (*DescribeLabelingJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeLabelingJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeLabelingJob request.

type DescribeModelInput 

type DescribeModelInput struct {

	// The name of the model.
	//
	// ModelName is a required field
	ModelName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeModelInput) String 

func (s DescribeModelInput) String() string

String returns the string representation

func (*DescribeModelInput) Validate 

func (s *DescribeModelInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeModelOutput 

type DescribeModelOutput struct {

	// The containers in the inference pipeline.
	Containers []ContainerDefinition `type:"list"`

	// A timestamp that shows when the model was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// If True, no inbound or outbound network calls can be made to or from the
	// model container.
	EnableNetworkIsolation *bool `type:"boolean"`

	// The Amazon Resource Name (ARN) of the IAM role that you specified for the
	// model.
	//
	// ExecutionRoleArn is a required field
	ExecutionRoleArn *string `min:"20" type:"string" required:"true"`

	// The Amazon Resource Name (ARN) of the model.
	//
	// ModelArn is a required field
	ModelArn *string `min:"20" type:"string" required:"true"`

	// Name of the Amazon SageMaker model.
	//
	// ModelName is a required field
	ModelName *string `type:"string" required:"true"`

	// The location of the primary inference code, associated artifacts, and custom
	// environment map that the inference code uses when it is deployed in production.
	PrimaryContainer *ContainerDefinition `type:"structure"`

	// A VpcConfig object that specifies the VPC that this model has access to.
	// For more information, see Protect Endpoints by Using an Amazon Virtual Private
	// Cloud (https://docs.aws.amazon.com/sagemaker/latest/dg/host-vpc.html)
	VpcConfig *VpcConfig `type:"structure"`
	// contains filtered or unexported fields
}

func (DescribeModelOutput) String 

func (s DescribeModelOutput) String() string

String returns the string representation

type DescribeModelPackageInput added in v0.6.0 

type DescribeModelPackageInput struct {

	// The name of the model package to describe.
	//
	// ModelPackageName is a required field
	ModelPackageName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeModelPackageInput) String added in v0.6.0 

func (s DescribeModelPackageInput) String() string

String returns the string representation

func (*DescribeModelPackageInput) Validate added in v0.6.0 

func (s *DescribeModelPackageInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeModelPackageOutput added in v0.6.0 

type DescribeModelPackageOutput struct {

	// Whether the model package is certified for listing on AWS Marketplace.
	CertifyForMarketplace *bool `type:"boolean"`

	// A timestamp specifying when the model package was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// Details about inference jobs that can be run with models based on this model
	// package.
	InferenceSpecification *InferenceSpecification `type:"structure"`

	// The Amazon Resource Name (ARN) of the model package.
	//
	// ModelPackageArn is a required field
	ModelPackageArn *string `min:"1" type:"string" required:"true"`

	// A brief summary of the model package.
	ModelPackageDescription *string `type:"string"`

	// The name of the model package being described.
	//
	// ModelPackageName is a required field
	ModelPackageName *string `min:"1" type:"string" required:"true"`

	// The current status of the model package.
	//
	// ModelPackageStatus is a required field
	ModelPackageStatus ModelPackageStatus `type:"string" required:"true" enum:"true"`

	// Details about the current status of the model package.
	//
	// ModelPackageStatusDetails is a required field
	ModelPackageStatusDetails *ModelPackageStatusDetails `type:"structure" required:"true"`

	// Details about the algorithm that was used to create the model package.
	SourceAlgorithmSpecification *SourceAlgorithmSpecification `type:"structure"`

	// Configurations for one or more transform jobs that Amazon SageMaker runs
	// to test the model package.
	ValidationSpecification *ModelPackageValidationSpecification `type:"structure"`
	// contains filtered or unexported fields
}

func (DescribeModelPackageOutput) String added in v0.6.0 

func (s DescribeModelPackageOutput) String() string

String returns the string representation

type DescribeModelPackageRequest added in v0.6.0 

type DescribeModelPackageRequest struct {
	*aws.Request
	Input *DescribeModelPackageInput
	Copy  func(*DescribeModelPackageInput) DescribeModelPackageRequest
}

DescribeModelPackageRequest is the request type for the DescribeModelPackage API operation.

func (DescribeModelPackageRequest) Send added in v0.6.0 

func (r DescribeModelPackageRequest) Send(ctx context.Context) (*DescribeModelPackageResponse, error)

Send marshals and sends the DescribeModelPackage API request.

type DescribeModelPackageResponse added in v0.9.0 

type DescribeModelPackageResponse struct {
	*DescribeModelPackageOutput
	// contains filtered or unexported fields
}

DescribeModelPackageResponse is the response type for the DescribeModelPackage API operation.

func (*DescribeModelPackageResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeModelPackageResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeModelPackage request.

type DescribeModelRequest 

type DescribeModelRequest struct {
	*aws.Request
	Input *DescribeModelInput
	Copy  func(*DescribeModelInput) DescribeModelRequest
}

DescribeModelRequest is the request type for the DescribeModel API operation.

func (DescribeModelRequest) Send 

func (r DescribeModelRequest) Send(ctx context.Context) (*DescribeModelResponse, error)

Send marshals and sends the DescribeModel API request.

type DescribeModelResponse added in v0.9.0 

type DescribeModelResponse struct {
	*DescribeModelOutput
	// contains filtered or unexported fields
}

DescribeModelResponse is the response type for the DescribeModel API operation.

func (*DescribeModelResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeModelResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeModel request.

type DescribeMonitoringScheduleInput added in v0.18.0 

type DescribeMonitoringScheduleInput struct {

	// Name of a previously created monitoring schedule.
	//
	// MonitoringScheduleName is a required field
	MonitoringScheduleName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeMonitoringScheduleInput) String added in v0.18.0 

func (s DescribeMonitoringScheduleInput) String() string

String returns the string representation

func (*DescribeMonitoringScheduleInput) Validate added in v0.18.0 

func (s *DescribeMonitoringScheduleInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeMonitoringScheduleOutput added in v0.18.0 

type DescribeMonitoringScheduleOutput struct {

	// The time at which the monitoring job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The name of the endpoint for the monitoring job.
	EndpointName *string `type:"string"`

	// A string, up to one KB in size, that contains the reason a monitoring job
	// failed, if it failed.
	FailureReason *string `type:"string"`

	// The time at which the monitoring job was last modified.
	//
	// LastModifiedTime is a required field
	LastModifiedTime *time.Time `type:"timestamp" required:"true"`

	// Describes metadata on the last execution to run, if there was one.
	LastMonitoringExecutionSummary *MonitoringExecutionSummary `type:"structure"`

	// The Amazon Resource Name (ARN) of the monitoring schedule.
	//
	// MonitoringScheduleArn is a required field
	MonitoringScheduleArn *string `type:"string" required:"true"`

	// The configuration object that specifies the monitoring schedule and defines
	// the monitoring job.
	//
	// MonitoringScheduleConfig is a required field
	MonitoringScheduleConfig *MonitoringScheduleConfig `type:"structure" required:"true"`

	// Name of the monitoring schedule.
	//
	// MonitoringScheduleName is a required field
	MonitoringScheduleName *string `min:"1" type:"string" required:"true"`

	// The status of an monitoring job.
	//
	// MonitoringScheduleStatus is a required field
	MonitoringScheduleStatus ScheduleStatus `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

func (DescribeMonitoringScheduleOutput) String added in v0.18.0 

func (s DescribeMonitoringScheduleOutput) String() string

String returns the string representation

type DescribeMonitoringScheduleRequest added in v0.18.0 

type DescribeMonitoringScheduleRequest struct {
	*aws.Request
	Input *DescribeMonitoringScheduleInput
	Copy  func(*DescribeMonitoringScheduleInput) DescribeMonitoringScheduleRequest
}

DescribeMonitoringScheduleRequest is the request type for the DescribeMonitoringSchedule API operation.

func (DescribeMonitoringScheduleRequest) Send added in v0.18.0 

func (r DescribeMonitoringScheduleRequest) Send(ctx context.Context) (*DescribeMonitoringScheduleResponse, error)

Send marshals and sends the DescribeMonitoringSchedule API request.

type DescribeMonitoringScheduleResponse added in v0.18.0 

type DescribeMonitoringScheduleResponse struct {
	*DescribeMonitoringScheduleOutput
	// contains filtered or unexported fields
}

DescribeMonitoringScheduleResponse is the response type for the DescribeMonitoringSchedule API operation.

func (*DescribeMonitoringScheduleResponse) SDKResponseMetdata added in v0.18.0 

func (r *DescribeMonitoringScheduleResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeMonitoringSchedule request.

type DescribeNotebookInstanceInput 

type DescribeNotebookInstanceInput struct {

	// The name of the notebook instance that you want information about.
	//
	// NotebookInstanceName is a required field
	NotebookInstanceName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeNotebookInstanceInput) String 

func (s DescribeNotebookInstanceInput) String() string

String returns the string representation

func (*DescribeNotebookInstanceInput) Validate 

func (s *DescribeNotebookInstanceInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeNotebookInstanceLifecycleConfigInput added in v0.4.0 

type DescribeNotebookInstanceLifecycleConfigInput struct {

	// The name of the lifecycle configuration to describe.
	//
	// NotebookInstanceLifecycleConfigName is a required field
	NotebookInstanceLifecycleConfigName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeNotebookInstanceLifecycleConfigInput) String added in v0.4.0 

func (s DescribeNotebookInstanceLifecycleConfigInput) String() string

String returns the string representation

func (*DescribeNotebookInstanceLifecycleConfigInput) Validate added in v0.4.0 

func (s *DescribeNotebookInstanceLifecycleConfigInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeNotebookInstanceLifecycleConfigOutput added in v0.4.0 

type DescribeNotebookInstanceLifecycleConfigOutput struct {

	// A timestamp that tells when the lifecycle configuration was created.
	CreationTime *time.Time `type:"timestamp"`

	// A timestamp that tells when the lifecycle configuration was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the lifecycle configuration.
	NotebookInstanceLifecycleConfigArn *string `type:"string"`

	// The name of the lifecycle configuration.
	NotebookInstanceLifecycleConfigName *string `type:"string"`

	// The shell script that runs only once, when you create a notebook instance.
	OnCreate []NotebookInstanceLifecycleHook `type:"list"`

	// The shell script that runs every time you start a notebook instance, including
	// when you create the notebook instance.
	OnStart []NotebookInstanceLifecycleHook `type:"list"`
	// contains filtered or unexported fields
}

func (DescribeNotebookInstanceLifecycleConfigOutput) String added in v0.4.0 

func (s DescribeNotebookInstanceLifecycleConfigOutput) String() string

String returns the string representation

type DescribeNotebookInstanceLifecycleConfigRequest added in v0.4.0 

type DescribeNotebookInstanceLifecycleConfigRequest struct {
	*aws.Request
	Input *DescribeNotebookInstanceLifecycleConfigInput
	Copy  func(*DescribeNotebookInstanceLifecycleConfigInput) DescribeNotebookInstanceLifecycleConfigRequest
}

DescribeNotebookInstanceLifecycleConfigRequest is the request type for the DescribeNotebookInstanceLifecycleConfig API operation.

func (DescribeNotebookInstanceLifecycleConfigRequest) Send added in v0.4.0 

func (r DescribeNotebookInstanceLifecycleConfigRequest) Send(ctx context.Context) (*DescribeNotebookInstanceLifecycleConfigResponse, error)

Send marshals and sends the DescribeNotebookInstanceLifecycleConfig API request.

type DescribeNotebookInstanceLifecycleConfigResponse added in v0.9.0 

type DescribeNotebookInstanceLifecycleConfigResponse struct {
	*DescribeNotebookInstanceLifecycleConfigOutput
	// contains filtered or unexported fields
}

DescribeNotebookInstanceLifecycleConfigResponse is the response type for the DescribeNotebookInstanceLifecycleConfig API operation.

func (*DescribeNotebookInstanceLifecycleConfigResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeNotebookInstanceLifecycleConfigResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeNotebookInstanceLifecycleConfig request.

type DescribeNotebookInstanceOutput 

type DescribeNotebookInstanceOutput struct {

	// A list of the Elastic Inference (EI) instance types associated with this
	// notebook instance. Currently only one EI instance type can be associated
	// with a notebook instance. For more information, see Using Elastic Inference
	// in Amazon SageMaker (https://docs.aws.amazon.com/sagemaker/latest/dg/ei.html).
	AcceleratorTypes []NotebookInstanceAcceleratorType `type:"list"`

	// An array of up to three Git repositories associated with the notebook instance.
	// These can be either the names of Git repositories stored as resources in
	// your account, or the URL of Git repositories in AWS CodeCommit (https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html)
	// or in any other Git repository. These repositories are cloned at the same
	// level as the default repository of your notebook instance. For more information,
	// see Associating Git Repositories with Amazon SageMaker Notebook Instances
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html).
	AdditionalCodeRepositories []string `type:"list"`

	// A timestamp. Use this parameter to return the time when the notebook instance
	// was created
	CreationTime *time.Time `type:"timestamp"`

	// The Git repository associated with the notebook instance as its default code
	// repository. This can be either the name of a Git repository stored as a resource
	// in your account, or the URL of a Git repository in AWS CodeCommit (https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html)
	// or in any other Git repository. When you open a notebook instance, it opens
	// in the directory that contains this repository. For more information, see
	// Associating Git Repositories with Amazon SageMaker Notebook Instances (https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html).
	DefaultCodeRepository *string `min:"1" type:"string"`

	// Describes whether Amazon SageMaker provides internet access to the notebook
	// instance. If this value is set to Disabled, the notebook instance does not
	// have internet access, and cannot connect to Amazon SageMaker training and
	// endpoint services.
	//
	// For more information, see Notebook Instances Are Internet-Enabled by Default
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/appendix-additional-considerations.html#appendix-notebook-and-internet-access).
	DirectInternetAccess DirectInternetAccess `type:"string" enum:"true"`

	// If status is Failed, the reason it failed.
	FailureReason *string `type:"string"`

	// The type of ML compute instance running on the notebook instance.
	InstanceType InstanceType `type:"string" enum:"true"`

	// The AWS KMS key ID Amazon SageMaker uses to encrypt data when storing it
	// on the ML storage volume attached to the instance.
	KmsKeyId *string `type:"string"`

	// A timestamp. Use this parameter to retrieve the time when the notebook instance
	// was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The network interface IDs that Amazon SageMaker created at the time of creating
	// the instance.
	NetworkInterfaceId *string `type:"string"`

	// The Amazon Resource Name (ARN) of the notebook instance.
	NotebookInstanceArn *string `type:"string"`

	// Returns the name of a notebook instance lifecycle configuration.
	//
	// For information about notebook instance lifestyle configurations, see Step
	// 2.1: (Optional) Customize a Notebook Instance (https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html)
	NotebookInstanceLifecycleConfigName *string `type:"string"`

	// The name of the Amazon SageMaker notebook instance.
	NotebookInstanceName *string `type:"string"`

	// The status of the notebook instance.
	NotebookInstanceStatus NotebookInstanceStatus `type:"string" enum:"true"`

	// The Amazon Resource Name (ARN) of the IAM role associated with the instance.
	RoleArn *string `min:"20" type:"string"`

	// Whether root access is enabled or disabled for users of the notebook instance.
	//
	// Lifecycle configurations need root access to be able to set up a notebook
	// instance. Because of this, lifecycle configurations associated with a notebook
	// instance always run with root access even if you disable root access for
	// users.
	RootAccess RootAccess `type:"string" enum:"true"`

	// The IDs of the VPC security groups.
	SecurityGroups []string `type:"list"`

	// The ID of the VPC subnet.
	SubnetId *string `type:"string"`

	// The URL that you use to connect to the Jupyter notebook that is running in
	// your notebook instance.
	Url *string `type:"string"`

	// The size, in GB, of the ML storage volume attached to the notebook instance.
	VolumeSizeInGB *int64 `min:"5" type:"integer"`
	// contains filtered or unexported fields
}

func (DescribeNotebookInstanceOutput) String 

func (s DescribeNotebookInstanceOutput) String() string

String returns the string representation

type DescribeNotebookInstanceRequest 

type DescribeNotebookInstanceRequest struct {
	*aws.Request
	Input *DescribeNotebookInstanceInput
	Copy  func(*DescribeNotebookInstanceInput) DescribeNotebookInstanceRequest
}

DescribeNotebookInstanceRequest is the request type for the DescribeNotebookInstance API operation.

func (DescribeNotebookInstanceRequest) Send 

func (r DescribeNotebookInstanceRequest) Send(ctx context.Context) (*DescribeNotebookInstanceResponse, error)

Send marshals and sends the DescribeNotebookInstance API request.

type DescribeNotebookInstanceResponse added in v0.9.0 

type DescribeNotebookInstanceResponse struct {
	*DescribeNotebookInstanceOutput
	// contains filtered or unexported fields
}

DescribeNotebookInstanceResponse is the response type for the DescribeNotebookInstance API operation.

func (*DescribeNotebookInstanceResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeNotebookInstanceResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeNotebookInstance request.

type DescribeProcessingJobInput added in v0.18.0 

type DescribeProcessingJobInput struct {

	// The name of the processing job. The name must be unique within an AWS Region
	// in the AWS account.
	//
	// ProcessingJobName is a required field
	ProcessingJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeProcessingJobInput) String added in v0.18.0 

func (s DescribeProcessingJobInput) String() string

String returns the string representation

func (*DescribeProcessingJobInput) Validate added in v0.18.0 

func (s *DescribeProcessingJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeProcessingJobOutput added in v0.18.0 

type DescribeProcessingJobOutput struct {

	// Configures the processing job to run a specified container image.
	//
	// AppSpecification is a required field
	AppSpecification *AppSpecification `type:"structure" required:"true"`

	// The ARN of an AutoML job associated with this processing job.
	AutoMLJobArn *string `min:"1" type:"string"`

	// The time at which the processing job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The environment variables set in the Docker container.
	Environment map[string]string `type:"map"`

	// An optional string, up to one KB in size, that contains metadata from the
	// processing container when the processing job exits.
	ExitMessage *string `type:"string"`

	// The configuration information used to create an experiment.
	ExperimentConfig *ExperimentConfig `type:"structure"`

	// A string, up to one KB in size, that contains the reason a processing job
	// failed, if it failed.
	FailureReason *string `type:"string"`

	// The time at which the processing job was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The ARN of a monitoring schedule for an endpoint associated with this processing
	// job.
	MonitoringScheduleArn *string `type:"string"`

	// Networking options for a processing job.
	NetworkConfig *NetworkConfig `type:"structure"`

	// The time at which the processing job completed.
	ProcessingEndTime *time.Time `type:"timestamp"`

	// The inputs for a processing job.
	ProcessingInputs []ProcessingInput `type:"list"`

	// The Amazon Resource Name (ARN) of the processing job.
	//
	// ProcessingJobArn is a required field
	ProcessingJobArn *string `type:"string" required:"true"`

	// The name of the processing job. The name must be unique within an AWS Region
	// in the AWS account.
	//
	// ProcessingJobName is a required field
	ProcessingJobName *string `min:"1" type:"string" required:"true"`

	// Provides the status of a processing job.
	//
	// ProcessingJobStatus is a required field
	ProcessingJobStatus ProcessingJobStatus `type:"string" required:"true" enum:"true"`

	// Output configuration for the processing job.
	ProcessingOutputConfig *ProcessingOutputConfig `type:"structure"`

	// Identifies the resources, ML compute instances, and ML storage volumes to
	// deploy for a processing job. In distributed training, you specify more than
	// one instance.
	//
	// ProcessingResources is a required field
	ProcessingResources *ProcessingResources `type:"structure" required:"true"`

	// The time at which the processing job started.
	ProcessingStartTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume
	// to perform tasks on your behalf.
	RoleArn *string `min:"20" type:"string"`

	// The time limit for how long the processing job is allowed to run.
	StoppingCondition *ProcessingStoppingCondition `type:"structure"`

	// The ARN of a training job associated with this processing job.
	TrainingJobArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (DescribeProcessingJobOutput) String added in v0.18.0 

func (s DescribeProcessingJobOutput) String() string

String returns the string representation

type DescribeProcessingJobRequest added in v0.18.0 

type DescribeProcessingJobRequest struct {
	*aws.Request
	Input *DescribeProcessingJobInput
	Copy  func(*DescribeProcessingJobInput) DescribeProcessingJobRequest
}

DescribeProcessingJobRequest is the request type for the DescribeProcessingJob API operation.

func (DescribeProcessingJobRequest) Send added in v0.18.0 

func (r DescribeProcessingJobRequest) Send(ctx context.Context) (*DescribeProcessingJobResponse, error)

Send marshals and sends the DescribeProcessingJob API request.

type DescribeProcessingJobResponse added in v0.18.0 

type DescribeProcessingJobResponse struct {
	*DescribeProcessingJobOutput
	// contains filtered or unexported fields
}

DescribeProcessingJobResponse is the response type for the DescribeProcessingJob API operation.

func (*DescribeProcessingJobResponse) SDKResponseMetdata added in v0.18.0 

func (r *DescribeProcessingJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeProcessingJob request.

type DescribeSubscribedWorkteamInput added in v0.6.0 

type DescribeSubscribedWorkteamInput struct {

	// The Amazon Resource Name (ARN) of the subscribed work team to describe.
	//
	// WorkteamArn is a required field
	WorkteamArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeSubscribedWorkteamInput) String added in v0.6.0 

func (s DescribeSubscribedWorkteamInput) String() string

String returns the string representation

func (*DescribeSubscribedWorkteamInput) Validate added in v0.6.0 

func (s *DescribeSubscribedWorkteamInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeSubscribedWorkteamOutput added in v0.6.0 

type DescribeSubscribedWorkteamOutput struct {

	// A Workteam instance that contains information about the work team.
	//
	// SubscribedWorkteam is a required field
	SubscribedWorkteam *SubscribedWorkteam `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeSubscribedWorkteamOutput) String added in v0.6.0 

func (s DescribeSubscribedWorkteamOutput) String() string

String returns the string representation

type DescribeSubscribedWorkteamRequest added in v0.6.0 

type DescribeSubscribedWorkteamRequest struct {
	*aws.Request
	Input *DescribeSubscribedWorkteamInput
	Copy  func(*DescribeSubscribedWorkteamInput) DescribeSubscribedWorkteamRequest
}

DescribeSubscribedWorkteamRequest is the request type for the DescribeSubscribedWorkteam API operation.

func (DescribeSubscribedWorkteamRequest) Send added in v0.6.0 

func (r DescribeSubscribedWorkteamRequest) Send(ctx context.Context) (*DescribeSubscribedWorkteamResponse, error)

Send marshals and sends the DescribeSubscribedWorkteam API request.

type DescribeSubscribedWorkteamResponse added in v0.9.0 

type DescribeSubscribedWorkteamResponse struct {
	*DescribeSubscribedWorkteamOutput
	// contains filtered or unexported fields
}

DescribeSubscribedWorkteamResponse is the response type for the DescribeSubscribedWorkteam API operation.

func (*DescribeSubscribedWorkteamResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeSubscribedWorkteamResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeSubscribedWorkteam request.

type DescribeTrainingJobInput 

type DescribeTrainingJobInput struct {

	// The name of the training job.
	//
	// TrainingJobName is a required field
	TrainingJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeTrainingJobInput) String 

func (s DescribeTrainingJobInput) String() string

String returns the string representation

func (*DescribeTrainingJobInput) Validate 

func (s *DescribeTrainingJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeTrainingJobOutput 

type DescribeTrainingJobOutput struct {

	// Information about the algorithm used for training, and algorithm metadata.
	//
	// AlgorithmSpecification is a required field
	AlgorithmSpecification *AlgorithmSpecification `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) of an AutoML job.
	AutoMLJobArn *string `min:"1" type:"string"`

	// The billable time in seconds.
	//
	// You can calculate the savings from using managed spot training using the
	// formula (1 - BillableTimeInSeconds / TrainingTimeInSeconds) * 100. For example,
	// if BillableTimeInSeconds is 100 and TrainingTimeInSeconds is 500, the savings
	// is 80%.
	BillableTimeInSeconds *int64 `min:"1" type:"integer"`

	// Contains information about the output location for managed spot training
	// checkpoint data.
	CheckpointConfig *CheckpointConfig `type:"structure"`

	// A timestamp that indicates when the training job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// Configuration information for the debug hook parameters, collection configuration,
	// and storage paths.
	DebugHookConfig *DebugHookConfig `type:"structure"`

	// Configuration information for debugging rules.
	DebugRuleConfigurations []DebugRuleConfiguration `type:"list"`

	// Status about the debug rule evaluation.
	DebugRuleEvaluationStatuses []DebugRuleEvaluationStatus `type:"list"`

	// To encrypt all communications between ML compute instances in distributed
	// training, choose True. Encryption provides greater security for distributed
	// training, but training might take longer. How long it takes depends on the
	// amount of communication between compute instances, especially if you use
	// a deep learning algorithms in distributed training.
	EnableInterContainerTrafficEncryption *bool `type:"boolean"`

	// A Boolean indicating whether managed spot training is enabled (True) or not
	// (False).
	EnableManagedSpotTraining *bool `type:"boolean"`

	// If you want to allow inbound or outbound network calls, except for calls
	// between peers within a training cluster for distributed training, choose
	// True. If you enable network isolation for training jobs that are configured
	// to use a VPC, Amazon SageMaker downloads and uploads customer data and model
	// artifacts through the specified VPC, but the training container does not
	// have network access.
	EnableNetworkIsolation *bool `type:"boolean"`

	// Configuration for the experiment.
	ExperimentConfig *ExperimentConfig `type:"structure"`

	// If the training job failed, the reason it failed.
	FailureReason *string `type:"string"`

	// A collection of MetricData objects that specify the names, values, and dates
	// and times that the training algorithm emitted to Amazon CloudWatch.
	FinalMetricDataList []MetricData `type:"list"`

	// Algorithm-specific parameters.
	HyperParameters map[string]string `type:"map"`

	// An array of Channel objects that describes each data input channel.
	InputDataConfig []Channel `min:"1" type:"list"`

	// The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling
	// job that created the transform or training job.
	LabelingJobArn *string `type:"string"`

	// A timestamp that indicates when the status of the training job was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// Information about the Amazon S3 location that is configured for storing model
	// artifacts.
	//
	// ModelArtifacts is a required field
	ModelArtifacts *ModelArtifacts `type:"structure" required:"true"`

	// The S3 path where model artifacts that you configured when creating the job
	// are stored. Amazon SageMaker creates subfolders for model artifacts.
	OutputDataConfig *OutputDataConfig `type:"structure"`

	// Resources, including ML compute instances and ML storage volumes, that are
	// configured for model training.
	//
	// ResourceConfig is a required field
	ResourceConfig *ResourceConfig `type:"structure" required:"true"`

	// The AWS Identity and Access Management (IAM) role configured for the training
	// job.
	RoleArn *string `min:"20" type:"string"`

	// Provides detailed information about the state of the training job. For detailed
	// information on the secondary status of the training job, see StatusMessage
	// under SecondaryStatusTransition.
	//
	// Amazon SageMaker provides primary statuses and secondary statuses that apply
	// to each of them:
	//
	// InProgress
	//
	//    * Starting - Starting the training job.
	//
	//    * Downloading - An optional stage for algorithms that support File training
	//    input mode. It indicates that data is being downloaded to the ML storage
	//    volumes.
	//
	//    * Training - Training is in progress.
	//
	//    * Interrupted - The job stopped because the managed spot training instances
	//    were interrupted.
	//
	//    * Uploading - Training is complete and the model artifacts are being uploaded
	//    to the S3 location.
	//
	// Completed
	//
	//    * Completed - The training job has completed.
	//
	// Failed
	//
	//    * Failed - The training job has failed. The reason for the failure is
	//    returned in the FailureReason field of DescribeTrainingJobResponse.
	//
	// Stopped
	//
	//    * MaxRuntimeExceeded - The job stopped because it exceeded the maximum
	//    allowed runtime.
	//
	//    * MaxWaitTmeExceeded - The job stopped because it exceeded the maximum
	//    allowed wait time.
	//
	//    * Stopped - The training job has stopped.
	//
	// Stopping
	//
	//    * Stopping - Stopping the training job.
	//
	// Valid values for SecondaryStatus are subject to change.
	//
	// We no longer support the following secondary statuses:
	//
	//    * LaunchingMLInstances
	//
	//    * PreparingTrainingStack
	//
	//    * DownloadingTrainingImage
	//
	// SecondaryStatus is a required field
	SecondaryStatus SecondaryStatus `type:"string" required:"true" enum:"true"`

	// A history of all of the secondary statuses that the training job has transitioned
	// through.
	SecondaryStatusTransitions []SecondaryStatusTransition `type:"list"`

	// Specifies a limit to how long a model training job can run. It also specifies
	// the maximum time to wait for a spot instance. When the job reaches the time
	// limit, Amazon SageMaker ends the training job. Use this API to cap model
	// training costs.
	//
	// To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which
	// delays job termination for 120 seconds. Algorithms can use this 120-second
	// window to save the model artifacts, so the results of training are not lost.
	//
	// StoppingCondition is a required field
	StoppingCondition *StoppingCondition `type:"structure" required:"true"`

	// Configuration of storage locations for TensorBoard output.
	TensorBoardOutputConfig *TensorBoardOutputConfig `type:"structure"`

	// Indicates the time when the training job ends on training instances. You
	// are billed for the time interval between the value of TrainingStartTime and
	// this time. For successful jobs and stopped jobs, this is the time after model
	// artifacts are uploaded. For failed jobs, this is the time when Amazon SageMaker
	// detects a job failure.
	TrainingEndTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the training job.
	//
	// TrainingJobArn is a required field
	TrainingJobArn *string `type:"string" required:"true"`

	// Name of the model training job.
	//
	// TrainingJobName is a required field
	TrainingJobName *string `min:"1" type:"string" required:"true"`

	// The status of the training job.
	//
	// Amazon SageMaker provides the following training job statuses:
	//
	//    * InProgress - The training is in progress.
	//
	//    * Completed - The training job has completed.
	//
	//    * Failed - The training job has failed. To see the reason for the failure,
	//    see the FailureReason field in the response to a DescribeTrainingJobResponse
	//    call.
	//
	//    * Stopping - The training job is stopping.
	//
	//    * Stopped - The training job has stopped.
	//
	// For more detailed information, see SecondaryStatus.
	//
	// TrainingJobStatus is a required field
	TrainingJobStatus TrainingJobStatus `type:"string" required:"true" enum:"true"`

	// Indicates the time when the training job starts on training instances. You
	// are billed for the time interval between this time and the value of TrainingEndTime.
	// The start time in CloudWatch Logs might be later than this time. The difference
	// is due to the time it takes to download the training data and to the size
	// of the training container.
	TrainingStartTime *time.Time `type:"timestamp"`

	// The training time in seconds.
	TrainingTimeInSeconds *int64 `min:"1" type:"integer"`

	// The Amazon Resource Name (ARN) of the associated hyperparameter tuning job
	// if the training job was launched by a hyperparameter tuning job.
	TuningJobArn *string `type:"string"`

	// A VpcConfig object that specifies the VPC that this training job has access
	// to. For more information, see Protect Training Jobs by Using an Amazon Virtual
	// Private Cloud (https://docs.aws.amazon.com/sagemaker/latest/dg/train-vpc.html).
	VpcConfig *VpcConfig `type:"structure"`
	// contains filtered or unexported fields
}

func (DescribeTrainingJobOutput) String 

func (s DescribeTrainingJobOutput) String() string

String returns the string representation

type DescribeTrainingJobRequest 

type DescribeTrainingJobRequest struct {
	*aws.Request
	Input *DescribeTrainingJobInput
	Copy  func(*DescribeTrainingJobInput) DescribeTrainingJobRequest
}

DescribeTrainingJobRequest is the request type for the DescribeTrainingJob API operation.

func (DescribeTrainingJobRequest) Send 

func (r DescribeTrainingJobRequest) Send(ctx context.Context) (*DescribeTrainingJobResponse, error)

Send marshals and sends the DescribeTrainingJob API request.

type DescribeTrainingJobResponse added in v0.9.0 

type DescribeTrainingJobResponse struct {
	*DescribeTrainingJobOutput
	// contains filtered or unexported fields
}

DescribeTrainingJobResponse is the response type for the DescribeTrainingJob API operation.

func (*DescribeTrainingJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeTrainingJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeTrainingJob request.

type DescribeTransformJobInput added in v0.5.0 

type DescribeTransformJobInput struct {

	// The name of the transform job that you want to view details of.
	//
	// TransformJobName is a required field
	TransformJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeTransformJobInput) String added in v0.5.0 

func (s DescribeTransformJobInput) String() string

String returns the string representation

func (*DescribeTransformJobInput) Validate added in v0.5.0 

func (s *DescribeTransformJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeTransformJobOutput added in v0.5.0 

type DescribeTransformJobOutput struct {

	// The Amazon Resource Name (ARN) of the AutoML transform job.
	AutoMLJobArn *string `min:"1" type:"string"`

	// Specifies the number of records to include in a mini-batch for an HTTP inference
	// request. A record is a single unit of input data that inference can be made
	// on. For example, a single line in a CSV file is a record.
	//
	// To enable the batch strategy, you must set SplitType to Line, RecordIO, or
	// TFRecord.
	BatchStrategy BatchStrategy `type:"string" enum:"true"`

	// A timestamp that shows when the transform Job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The data structure used to specify the data to be used for inference in a
	// batch transform job and to associate the data that is relevant to the prediction
	// results in the output. The input filter provided allows you to exclude input
	// data that is not needed for inference in a batch transform job. The output
	// filter provided allows you to include input data relevant to interpreting
	// the predictions in the output from the job. For more information, see Associate
	// Prediction Results with their Corresponding Input Records (https://docs.aws.amazon.com/sagemaker/latest/dg/batch-transform-data-processing.html).
	DataProcessing *DataProcessing `type:"structure"`

	// The environment variables to set in the Docker container. We support up to
	// 16 key and values entries in the map.
	Environment map[string]string `type:"map"`

	// Configuration for the experiment.
	ExperimentConfig *ExperimentConfig `type:"structure"`

	// If the transform job failed, FailureReason describes why it failed. A transform
	// job creates a log file, which includes error messages, and stores it as an
	// Amazon S3 object. For more information, see Log Amazon SageMaker Events with
	// Amazon CloudWatch (https://docs.aws.amazon.com/sagemaker/latest/dg/logging-cloudwatch.html).
	FailureReason *string `type:"string"`

	// The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling
	// job that created the transform or training job.
	LabelingJobArn *string `type:"string"`

	// The maximum number of parallel requests on each instance node that can be
	// launched in a transform job. The default value is 1.
	MaxConcurrentTransforms *int64 `type:"integer"`

	// The maximum payload size, in MB, used in the transform job.
	MaxPayloadInMB *int64 `type:"integer"`

	// The timeout and maximum number of retries for processing a transform job
	// invocation.
	ModelClientConfig *ModelClientConfig `type:"structure"`

	// The name of the model used in the transform job.
	//
	// ModelName is a required field
	ModelName *string `type:"string" required:"true"`

	// Indicates when the transform job has been completed, or has stopped or failed.
	// You are billed for the time interval between this time and the value of TransformStartTime.
	TransformEndTime *time.Time `type:"timestamp"`

	// Describes the dataset to be transformed and the Amazon S3 location where
	// it is stored.
	//
	// TransformInput is a required field
	TransformInput *TransformInput `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) of the transform job.
	//
	// TransformJobArn is a required field
	TransformJobArn *string `type:"string" required:"true"`

	// The name of the transform job.
	//
	// TransformJobName is a required field
	TransformJobName *string `min:"1" type:"string" required:"true"`

	// The status of the transform job. If the transform job failed, the reason
	// is returned in the FailureReason field.
	//
	// TransformJobStatus is a required field
	TransformJobStatus TransformJobStatus `type:"string" required:"true" enum:"true"`

	// Identifies the Amazon S3 location where you want Amazon SageMaker to save
	// the results from the transform job.
	TransformOutput *TransformOutput `type:"structure"`

	// Describes the resources, including ML instance types and ML instance count,
	// to use for the transform job.
	//
	// TransformResources is a required field
	TransformResources *TransformResources `type:"structure" required:"true"`

	// Indicates when the transform job starts on ML instances. You are billed for
	// the time interval between this time and the value of TransformEndTime.
	TransformStartTime *time.Time `type:"timestamp"`
	// contains filtered or unexported fields
}

func (DescribeTransformJobOutput) String added in v0.5.0 

func (s DescribeTransformJobOutput) String() string

String returns the string representation

type DescribeTransformJobRequest added in v0.5.0 

type DescribeTransformJobRequest struct {
	*aws.Request
	Input *DescribeTransformJobInput
	Copy  func(*DescribeTransformJobInput) DescribeTransformJobRequest
}

DescribeTransformJobRequest is the request type for the DescribeTransformJob API operation.

func (DescribeTransformJobRequest) Send added in v0.5.0 

func (r DescribeTransformJobRequest) Send(ctx context.Context) (*DescribeTransformJobResponse, error)

Send marshals and sends the DescribeTransformJob API request.

type DescribeTransformJobResponse added in v0.9.0 

type DescribeTransformJobResponse struct {
	*DescribeTransformJobOutput
	// contains filtered or unexported fields
}

DescribeTransformJobResponse is the response type for the DescribeTransformJob API operation.

func (*DescribeTransformJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeTransformJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeTransformJob request.

type DescribeTrialComponentInput added in v0.18.0 

type DescribeTrialComponentInput struct {

	// The name of the trial component to describe.
	//
	// TrialComponentName is a required field
	TrialComponentName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeTrialComponentInput) String added in v0.18.0 

func (s DescribeTrialComponentInput) String() string

String returns the string representation

func (*DescribeTrialComponentInput) Validate added in v0.18.0 

func (s *DescribeTrialComponentInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeTrialComponentOutput added in v0.18.0 

type DescribeTrialComponentOutput struct {

	// Who created the component.
	CreatedBy *UserContext `type:"structure"`

	// When the component was created.
	CreationTime *time.Time `type:"timestamp"`

	// The name of the component as displayed. If DisplayName isn't specified, TrialComponentName
	// is displayed.
	DisplayName *string `min:"1" type:"string"`

	// When the component ended.
	EndTime *time.Time `type:"timestamp"`

	// The input artifacts of the component.
	InputArtifacts map[string]TrialComponentArtifact `type:"map"`

	// Who last modified the component.
	LastModifiedBy *UserContext `type:"structure"`

	// When the component was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The metrics for the component.
	Metrics []TrialComponentMetricSummary `type:"list"`

	// The output artifacts of the component.
	OutputArtifacts map[string]TrialComponentArtifact `type:"map"`

	// The hyperparameters of the component.
	Parameters map[string]TrialComponentParameterValue `type:"map"`

	// The Amazon Resource Name (ARN) of the source and, optionally, the job type.
	Source *TrialComponentSource `type:"structure"`

	// When the component started.
	StartTime *time.Time `type:"timestamp"`

	// The status of the component. States include:
	//
	//    * InProgress
	//
	//    * Completed
	//
	//    * Failed
	Status *TrialComponentStatus `type:"structure"`

	// The Amazon Resource Name (ARN) of the trial component.
	TrialComponentArn *string `type:"string"`

	// The name of the trial component.
	TrialComponentName *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

func (DescribeTrialComponentOutput) String added in v0.18.0 

func (s DescribeTrialComponentOutput) String() string

String returns the string representation

type DescribeTrialComponentRequest added in v0.18.0 

type DescribeTrialComponentRequest struct {
	*aws.Request
	Input *DescribeTrialComponentInput
	Copy  func(*DescribeTrialComponentInput) DescribeTrialComponentRequest
}

DescribeTrialComponentRequest is the request type for the DescribeTrialComponent API operation.

func (DescribeTrialComponentRequest) Send added in v0.18.0 

func (r DescribeTrialComponentRequest) Send(ctx context.Context) (*DescribeTrialComponentResponse, error)

Send marshals and sends the DescribeTrialComponent API request.

type DescribeTrialComponentResponse added in v0.18.0 

type DescribeTrialComponentResponse struct {
	*DescribeTrialComponentOutput
	// contains filtered or unexported fields
}

DescribeTrialComponentResponse is the response type for the DescribeTrialComponent API operation.

func (*DescribeTrialComponentResponse) SDKResponseMetdata added in v0.18.0 

func (r *DescribeTrialComponentResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeTrialComponent request.

type DescribeTrialInput added in v0.18.0 

type DescribeTrialInput struct {

	// The name of the trial to describe.
	//
	// TrialName is a required field
	TrialName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeTrialInput) String added in v0.18.0 

func (s DescribeTrialInput) String() string

String returns the string representation

func (*DescribeTrialInput) Validate added in v0.18.0 

func (s *DescribeTrialInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeTrialOutput added in v0.18.0 

type DescribeTrialOutput struct {

	// Who created the trial.
	CreatedBy *UserContext `type:"structure"`

	// When the trial was created.
	CreationTime *time.Time `type:"timestamp"`

	// The name of the trial as displayed. If DisplayName isn't specified, TrialName
	// is displayed.
	DisplayName *string `min:"1" type:"string"`

	// The name of the experiment the trial is part of.
	ExperimentName *string `min:"1" type:"string"`

	// Who last modified the trial.
	LastModifiedBy *UserContext `type:"structure"`

	// When the trial was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the source and, optionally, the job type.
	Source *TrialSource `type:"structure"`

	// The Amazon Resource Name (ARN) of the trial.
	TrialArn *string `type:"string"`

	// The name of the trial.
	TrialName *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

func (DescribeTrialOutput) String added in v0.18.0 

func (s DescribeTrialOutput) String() string

String returns the string representation

type DescribeTrialRequest added in v0.18.0 

type DescribeTrialRequest struct {
	*aws.Request
	Input *DescribeTrialInput
	Copy  func(*DescribeTrialInput) DescribeTrialRequest
}

DescribeTrialRequest is the request type for the DescribeTrial API operation.

func (DescribeTrialRequest) Send added in v0.18.0 

func (r DescribeTrialRequest) Send(ctx context.Context) (*DescribeTrialResponse, error)

Send marshals and sends the DescribeTrial API request.

type DescribeTrialResponse added in v0.18.0 

type DescribeTrialResponse struct {
	*DescribeTrialOutput
	// contains filtered or unexported fields
}

DescribeTrialResponse is the response type for the DescribeTrial API operation.

func (*DescribeTrialResponse) SDKResponseMetdata added in v0.18.0 

func (r *DescribeTrialResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeTrial request.

type DescribeUserProfileInput added in v0.18.0 

type DescribeUserProfileInput struct {

	// The domain ID.
	//
	// DomainId is a required field
	DomainId *string `type:"string" required:"true"`

	// The user profile name.
	//
	// UserProfileName is a required field
	UserProfileName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeUserProfileInput) String added in v0.18.0 

func (s DescribeUserProfileInput) String() string

String returns the string representation

func (*DescribeUserProfileInput) Validate added in v0.18.0 

func (s *DescribeUserProfileInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeUserProfileOutput added in v0.18.0 

type DescribeUserProfileOutput struct {

	// The creation time.
	CreationTime *time.Time `type:"timestamp"`

	// The ID of the domain that contains the profile.
	DomainId *string `type:"string"`

	// The failure reason.
	FailureReason *string `type:"string"`

	// The ID of the user's profile in the Amazon Elastic File System (EFS) volume.
	HomeEfsFileSystemUid *string `type:"string"`

	// The last modified time.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The SSO user identifier.
	SingleSignOnUserIdentifier *string `type:"string"`

	// The SSO user value.
	SingleSignOnUserValue *string `type:"string"`

	// The status.
	Status UserProfileStatus `type:"string" enum:"true"`

	// The user profile Amazon Resource Name (ARN).
	UserProfileArn *string `type:"string"`

	// The user profile name.
	UserProfileName *string `type:"string"`

	// A collection of settings.
	UserSettings *UserSettings `type:"structure"`
	// contains filtered or unexported fields
}

func (DescribeUserProfileOutput) String added in v0.18.0 

func (s DescribeUserProfileOutput) String() string

String returns the string representation

type DescribeUserProfileRequest added in v0.18.0 

type DescribeUserProfileRequest struct {
	*aws.Request
	Input *DescribeUserProfileInput
	Copy  func(*DescribeUserProfileInput) DescribeUserProfileRequest
}

DescribeUserProfileRequest is the request type for the DescribeUserProfile API operation.

func (DescribeUserProfileRequest) Send added in v0.18.0 

func (r DescribeUserProfileRequest) Send(ctx context.Context) (*DescribeUserProfileResponse, error)

Send marshals and sends the DescribeUserProfile API request.

type DescribeUserProfileResponse added in v0.18.0 

type DescribeUserProfileResponse struct {
	*DescribeUserProfileOutput
	// contains filtered or unexported fields
}

DescribeUserProfileResponse is the response type for the DescribeUserProfile API operation.

func (*DescribeUserProfileResponse) SDKResponseMetdata added in v0.18.0 

func (r *DescribeUserProfileResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeUserProfile request.

type DescribeWorkforceInput added in v0.19.0 

type DescribeWorkforceInput struct {

	// The name of the private workforce whose access you want to restrict. WorkforceName
	// is automatically set to default when a workforce is created and cannot be
	// modified.
	//
	// WorkforceName is a required field
	WorkforceName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeWorkforceInput) String added in v0.19.0 

func (s DescribeWorkforceInput) String() string

String returns the string representation

func (*DescribeWorkforceInput) Validate added in v0.19.0 

func (s *DescribeWorkforceInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeWorkforceOutput added in v0.19.0 

type DescribeWorkforceOutput struct {

	// A single private workforce, which is automatically created when you create
	// your first private work team. You can create one private work force in each
	// AWS Region. By default, any workforce-related API operation used in a specific
	// region will apply to the workforce created in that region. To learn how to
	// create a private workforce, see Create a Private Workforce (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-workforce-create-private.html).
	//
	// Workforce is a required field
	Workforce *Workforce `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeWorkforceOutput) String added in v0.19.0 

func (s DescribeWorkforceOutput) String() string

String returns the string representation

type DescribeWorkforceRequest added in v0.19.0 

type DescribeWorkforceRequest struct {
	*aws.Request
	Input *DescribeWorkforceInput
	Copy  func(*DescribeWorkforceInput) DescribeWorkforceRequest
}

DescribeWorkforceRequest is the request type for the DescribeWorkforce API operation.

func (DescribeWorkforceRequest) Send added in v0.19.0 

func (r DescribeWorkforceRequest) Send(ctx context.Context) (*DescribeWorkforceResponse, error)

Send marshals and sends the DescribeWorkforce API request.

type DescribeWorkforceResponse added in v0.19.0 

type DescribeWorkforceResponse struct {
	*DescribeWorkforceOutput
	// contains filtered or unexported fields
}

DescribeWorkforceResponse is the response type for the DescribeWorkforce API operation.

func (*DescribeWorkforceResponse) SDKResponseMetdata added in v0.19.0 

func (r *DescribeWorkforceResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeWorkforce request.

type DescribeWorkteamInput added in v0.6.0 

type DescribeWorkteamInput struct {

	// The name of the work team to return a description of.
	//
	// WorkteamName is a required field
	WorkteamName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeWorkteamInput) String added in v0.6.0 

func (s DescribeWorkteamInput) String() string

String returns the string representation

func (*DescribeWorkteamInput) Validate added in v0.6.0 

func (s *DescribeWorkteamInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeWorkteamOutput added in v0.6.0 

type DescribeWorkteamOutput struct {

	// A Workteam instance that contains information about the work team.
	//
	// Workteam is a required field
	Workteam *Workteam `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeWorkteamOutput) String added in v0.6.0 

func (s DescribeWorkteamOutput) String() string

String returns the string representation

type DescribeWorkteamRequest added in v0.6.0 

type DescribeWorkteamRequest struct {
	*aws.Request
	Input *DescribeWorkteamInput
	Copy  func(*DescribeWorkteamInput) DescribeWorkteamRequest
}

DescribeWorkteamRequest is the request type for the DescribeWorkteam API operation.

func (DescribeWorkteamRequest) Send added in v0.6.0 

func (r DescribeWorkteamRequest) Send(ctx context.Context) (*DescribeWorkteamResponse, error)

Send marshals and sends the DescribeWorkteam API request.

type DescribeWorkteamResponse added in v0.9.0 

type DescribeWorkteamResponse struct {
	*DescribeWorkteamOutput
	// contains filtered or unexported fields
}

DescribeWorkteamResponse is the response type for the DescribeWorkteam API operation.

func (*DescribeWorkteamResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeWorkteamResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeWorkteam request.

type DesiredWeightAndCapacity 

type DesiredWeightAndCapacity struct {

	// The variant's capacity.
	DesiredInstanceCount *int64 `min:"1" type:"integer"`

	// The variant's weight.
	DesiredWeight *float64 `type:"float"`

	// The name of the variant to update.
	//
	// VariantName is a required field
	VariantName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Specifies weight and capacity values for a production variant.

func (DesiredWeightAndCapacity) String 

func (s DesiredWeightAndCapacity) String() string

String returns the string representation

func (*DesiredWeightAndCapacity) Validate 

func (s *DesiredWeightAndCapacity) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DetailedAlgorithmStatus added in v0.6.0 

type DetailedAlgorithmStatus string
const (
	DetailedAlgorithmStatusNotStarted DetailedAlgorithmStatus = "NotStarted"
	DetailedAlgorithmStatusInProgress DetailedAlgorithmStatus = "InProgress"
	DetailedAlgorithmStatusCompleted  DetailedAlgorithmStatus = "Completed"
	DetailedAlgorithmStatusFailed     DetailedAlgorithmStatus = "Failed"
)

Enum values for DetailedAlgorithmStatus

func (DetailedAlgorithmStatus) MarshalValue added in v0.6.0 

func (enum DetailedAlgorithmStatus) MarshalValue() (string, error)

func (DetailedAlgorithmStatus) MarshalValueBuf added in v0.6.0 

func (enum DetailedAlgorithmStatus) MarshalValueBuf(b []byte) ([]byte, error)

type DetailedModelPackageStatus added in v0.6.0 

type DetailedModelPackageStatus string
const (
	DetailedModelPackageStatusNotStarted DetailedModelPackageStatus = "NotStarted"
	DetailedModelPackageStatusInProgress DetailedModelPackageStatus = "InProgress"
	DetailedModelPackageStatusCompleted  DetailedModelPackageStatus = "Completed"
	DetailedModelPackageStatusFailed     DetailedModelPackageStatus = "Failed"
)

Enum values for DetailedModelPackageStatus

func (DetailedModelPackageStatus) MarshalValue added in v0.6.0 

func (enum DetailedModelPackageStatus) MarshalValue() (string, error)

func (DetailedModelPackageStatus) MarshalValueBuf added in v0.6.0 

func (enum DetailedModelPackageStatus) MarshalValueBuf(b []byte) ([]byte, error)

type DirectInternetAccess added in v0.4.0 

type DirectInternetAccess string
const (
	DirectInternetAccessEnabled  DirectInternetAccess = "Enabled"
	DirectInternetAccessDisabled DirectInternetAccess = "Disabled"
)

Enum values for DirectInternetAccess

func (DirectInternetAccess) MarshalValue added in v0.4.0 

func (enum DirectInternetAccess) MarshalValue() (string, error)

func (DirectInternetAccess) MarshalValueBuf added in v0.4.0 

func (enum DirectInternetAccess) MarshalValueBuf(b []byte) ([]byte, error)

type DisassociateTrialComponentInput added in v0.18.0 

type DisassociateTrialComponentInput struct {

	// The name of the component to disassociate from the trial.
	//
	// TrialComponentName is a required field
	TrialComponentName *string `min:"1" type:"string" required:"true"`

	// The name of the trial to disassociate from.
	//
	// TrialName is a required field
	TrialName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DisassociateTrialComponentInput) String added in v0.18.0 

func (s DisassociateTrialComponentInput) String() string

String returns the string representation

func (*DisassociateTrialComponentInput) Validate added in v0.18.0 

func (s *DisassociateTrialComponentInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DisassociateTrialComponentOutput added in v0.18.0 

type DisassociateTrialComponentOutput struct {

	// The Amazon Resource Name (ARN) of the trial.
	TrialArn *string `type:"string"`

	// The ARN of the trial component.
	TrialComponentArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (DisassociateTrialComponentOutput) String added in v0.18.0 

func (s DisassociateTrialComponentOutput) String() string

String returns the string representation

type DisassociateTrialComponentRequest added in v0.18.0 

type DisassociateTrialComponentRequest struct {
	*aws.Request
	Input *DisassociateTrialComponentInput
	Copy  func(*DisassociateTrialComponentInput) DisassociateTrialComponentRequest
}

DisassociateTrialComponentRequest is the request type for the DisassociateTrialComponent API operation.

func (DisassociateTrialComponentRequest) Send added in v0.18.0 

func (r DisassociateTrialComponentRequest) Send(ctx context.Context) (*DisassociateTrialComponentResponse, error)

Send marshals and sends the DisassociateTrialComponent API request.

type DisassociateTrialComponentResponse added in v0.18.0 

type DisassociateTrialComponentResponse struct {
	*DisassociateTrialComponentOutput
	// contains filtered or unexported fields
}

DisassociateTrialComponentResponse is the response type for the DisassociateTrialComponent API operation.

func (*DisassociateTrialComponentResponse) SDKResponseMetdata added in v0.18.0 

func (r *DisassociateTrialComponentResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DisassociateTrialComponent request.

type DomainDetails added in v0.18.0 

type DomainDetails struct {

	// The creation time.
	CreationTime *time.Time `type:"timestamp"`

	// The domain's Amazon Resource Name (ARN).
	DomainArn *string `type:"string"`

	// The domain ID.
	DomainId *string `type:"string"`

	// The domain name.
	DomainName *string `type:"string"`

	// The last modified time.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The status.
	Status DomainStatus `type:"string" enum:"true"`

	// The domain's URL.
	Url *string `type:"string"`
	// contains filtered or unexported fields
}

The domain's details.

func (DomainDetails) String added in v0.18.0 

func (s DomainDetails) String() string

String returns the string representation

type DomainStatus added in v0.18.0 

type DomainStatus string
const (
	DomainStatusDeleting  DomainStatus = "Deleting"
	DomainStatusFailed    DomainStatus = "Failed"
	DomainStatusInService DomainStatus = "InService"
	DomainStatusPending   DomainStatus = "Pending"
)

Enum values for DomainStatus

func (DomainStatus) MarshalValue added in v0.18.0 

func (enum DomainStatus) MarshalValue() (string, error)

func (DomainStatus) MarshalValueBuf added in v0.18.0 

func (enum DomainStatus) MarshalValueBuf(b []byte) ([]byte, error)

type EndpointConfigSortKey 

type EndpointConfigSortKey string
const (
	EndpointConfigSortKeyName         EndpointConfigSortKey = "Name"
	EndpointConfigSortKeyCreationTime EndpointConfigSortKey = "CreationTime"
)

Enum values for EndpointConfigSortKey

func (EndpointConfigSortKey) MarshalValue added in v0.3.0 

func (enum EndpointConfigSortKey) MarshalValue() (string, error)

func (EndpointConfigSortKey) MarshalValueBuf added in v0.3.0 

func (enum EndpointConfigSortKey) MarshalValueBuf(b []byte) ([]byte, error)

type EndpointConfigSummary 

type EndpointConfigSummary struct {

	// A timestamp that shows when the endpoint configuration was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The Amazon Resource Name (ARN) of the endpoint configuration.
	//
	// EndpointConfigArn is a required field
	EndpointConfigArn *string `min:"20" type:"string" required:"true"`

	// The name of the endpoint configuration.
	//
	// EndpointConfigName is a required field
	EndpointConfigName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Provides summary information for an endpoint configuration.

func (EndpointConfigSummary) String 

func (s EndpointConfigSummary) String() string

String returns the string representation

type EndpointInput added in v0.18.0 

type EndpointInput struct {

	// An endpoint in customer's account which has enabled DataCaptureConfig enabled.
	//
	// EndpointName is a required field
	EndpointName *string `type:"string" required:"true"`

	// Path to the filesystem where the endpoint data is available to the container.
	//
	// LocalPath is a required field
	LocalPath *string `type:"string" required:"true"`

	// Whether input data distributed in Amazon S3 is fully replicated or sharded
	// by an S3 key. Defauts to FullyReplicated
	S3DataDistributionType ProcessingS3DataDistributionType `type:"string" enum:"true"`

	// Whether the Pipe or File is used as the input mode for transfering data for
	// the monitoring job. Pipe mode is recommended for large datasets. File mode
	// is useful for small files that fit in memory. Defaults to File.
	S3InputMode ProcessingS3InputMode `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

Input object for the endpoint

func (EndpointInput) String added in v0.18.0 

func (s EndpointInput) String() string

String returns the string representation

func (*EndpointInput) Validate added in v0.18.0 

func (s *EndpointInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type EndpointSortKey 

type EndpointSortKey string
const (
	EndpointSortKeyName         EndpointSortKey = "Name"
	EndpointSortKeyCreationTime EndpointSortKey = "CreationTime"
	EndpointSortKeyStatus       EndpointSortKey = "Status"
)

Enum values for EndpointSortKey

func (EndpointSortKey) MarshalValue added in v0.3.0 

func (enum EndpointSortKey) MarshalValue() (string, error)

func (EndpointSortKey) MarshalValueBuf added in v0.3.0 

func (enum EndpointSortKey) MarshalValueBuf(b []byte) ([]byte, error)

type EndpointStatus 

type EndpointStatus string
const (
	EndpointStatusOutOfService   EndpointStatus = "OutOfService"
	EndpointStatusCreating       EndpointStatus = "Creating"
	EndpointStatusUpdating       EndpointStatus = "Updating"
	EndpointStatusSystemUpdating EndpointStatus = "SystemUpdating"
	EndpointStatusRollingBack    EndpointStatus = "RollingBack"
	EndpointStatusInService      EndpointStatus = "InService"
	EndpointStatusDeleting       EndpointStatus = "Deleting"
	EndpointStatusFailed         EndpointStatus = "Failed"
)

Enum values for EndpointStatus

func (EndpointStatus) MarshalValue added in v0.3.0 

func (enum EndpointStatus) MarshalValue() (string, error)

func (EndpointStatus) MarshalValueBuf added in v0.3.0 

func (enum EndpointStatus) MarshalValueBuf(b []byte) ([]byte, error)

type EndpointSummary 

type EndpointSummary struct {

	// A timestamp that shows when the endpoint was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The Amazon Resource Name (ARN) of the endpoint.
	//
	// EndpointArn is a required field
	EndpointArn *string `min:"20" type:"string" required:"true"`

	// The name of the endpoint.
	//
	// EndpointName is a required field
	EndpointName *string `type:"string" required:"true"`

	// The status of the endpoint.
	//
	//    * OutOfService: Endpoint is not available to take incoming requests.
	//
	//    * Creating: CreateEndpoint is executing.
	//
	//    * Updating: UpdateEndpoint or UpdateEndpointWeightsAndCapacities is executing.
	//
	//    * SystemUpdating: Endpoint is undergoing maintenance and cannot be updated
	//    or deleted or re-scaled until it has completed. This maintenance operation
	//    does not change any customer-specified values such as VPC config, KMS
	//    encryption, model, instance type, or instance count.
	//
	//    * RollingBack: Endpoint fails to scale up or down or change its variant
	//    weight and is in the process of rolling back to its previous configuration.
	//    Once the rollback completes, endpoint returns to an InService status.
	//    This transitional status only applies to an endpoint that has autoscaling
	//    enabled and is undergoing variant weight or capacity changes as part of
	//    an UpdateEndpointWeightsAndCapacities call or when the UpdateEndpointWeightsAndCapacities
	//    operation is called explicitly.
	//
	//    * InService: Endpoint is available to process incoming requests.
	//
	//    * Deleting: DeleteEndpoint is executing.
	//
	//    * Failed: Endpoint could not be created, updated, or re-scaled. Use DescribeEndpointOutput$FailureReason
	//    for information about the failure. DeleteEndpoint is the only operation
	//    that can be performed on a failed endpoint.
	//
	// To get a list of endpoints with a specified status, use the ListEndpointsInput$StatusEquals
	// filter.
	//
	// EndpointStatus is a required field
	EndpointStatus EndpointStatus `type:"string" required:"true" enum:"true"`

	// A timestamp that shows when the endpoint was last modified.
	//
	// LastModifiedTime is a required field
	LastModifiedTime *time.Time `type:"timestamp" required:"true"`
	// contains filtered or unexported fields
}

Provides summary information for an endpoint.

func (EndpointSummary) String 

func (s EndpointSummary) String() string

String returns the string representation

type ExecutionStatus added in v0.18.0 

type ExecutionStatus string
const (
	ExecutionStatusPending                 ExecutionStatus = "Pending"
	ExecutionStatusCompleted               ExecutionStatus = "Completed"
	ExecutionStatusCompletedWithViolations ExecutionStatus = "CompletedWithViolations"
	ExecutionStatusInProgress              ExecutionStatus = "InProgress"
	ExecutionStatusFailed                  ExecutionStatus = "Failed"
	ExecutionStatusStopping                ExecutionStatus = "Stopping"
	ExecutionStatusStopped                 ExecutionStatus = "Stopped"
)

Enum values for ExecutionStatus

func (ExecutionStatus) MarshalValue added in v0.18.0 

func (enum ExecutionStatus) MarshalValue() (string, error)

func (ExecutionStatus) MarshalValueBuf added in v0.18.0 

func (enum ExecutionStatus) MarshalValueBuf(b []byte) ([]byte, error)

type Experiment added in v0.18.0 

type Experiment struct {

	// Information about the user who created or modified an experiment, trial,
	// or trial component.
	CreatedBy *UserContext `type:"structure"`

	// When the experiment was created.
	CreationTime *time.Time `type:"timestamp"`

	// The description of the experiment.
	Description *string `type:"string"`

	// The name of the experiment as displayed. If DisplayName isn't specified,
	// ExperimentName is displayed.
	DisplayName *string `min:"1" type:"string"`

	// The Amazon Resource Name (ARN) of the experiment.
	ExperimentArn *string `type:"string"`

	// The name of the experiment.
	ExperimentName *string `min:"1" type:"string"`

	// Information about the user who created or modified an experiment, trial,
	// or trial component.
	LastModifiedBy *UserContext `type:"structure"`

	// When the experiment was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The source of the experiment.
	Source *ExperimentSource `type:"structure"`

	// The list of tags that are associated with the experiment. You can use Search
	// API to search on the tags.
	Tags []Tag `type:"list"`
	// contains filtered or unexported fields
}

The properties of an experiment as returned by the Search API.

func (Experiment) String added in v0.18.0 

func (s Experiment) String() string

String returns the string representation

type ExperimentConfig added in v0.18.0 

type ExperimentConfig struct {

	// The name of the experiment.
	ExperimentName *string `min:"1" type:"string"`

	// Display name for the trial component.
	TrialComponentDisplayName *string `min:"1" type:"string"`

	// The name of the trial.
	TrialName *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

Configuration for the experiment.

func (ExperimentConfig) String added in v0.18.0 

func (s ExperimentConfig) String() string

String returns the string representation

func (*ExperimentConfig) Validate added in v0.18.0 

func (s *ExperimentConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ExperimentSource added in v0.18.0 

type ExperimentSource struct {

	// The Amazon Resource Name (ARN) of the source.
	//
	// SourceArn is a required field
	SourceArn *string `type:"string" required:"true"`

	// The source type.
	SourceType *string `type:"string"`
	// contains filtered or unexported fields
}

The source of the experiment.

func (ExperimentSource) String added in v0.18.0 

func (s ExperimentSource) String() string

String returns the string representation

type ExperimentSummary added in v0.18.0 

type ExperimentSummary struct {

	// When the experiment was created.
	CreationTime *time.Time `type:"timestamp"`

	// The name of the experiment as displayed. If DisplayName isn't specified,
	// ExperimentName is displayed.
	DisplayName *string `min:"1" type:"string"`

	// The Amazon Resource Name (ARN) of the experiment.
	ExperimentArn *string `type:"string"`

	// The name of the experiment.
	ExperimentName *string `min:"1" type:"string"`

	// The source of the experiment.
	ExperimentSource *ExperimentSource `type:"structure"`

	// When the experiment was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`
	// contains filtered or unexported fields
}

A summary of the properties of an experiment. To get the complete set of properties, call the DescribeExperiment API and provide the ExperimentName.

func (ExperimentSummary) String added in v0.18.0 

func (s ExperimentSummary) String() string

String returns the string representation

type FileSystemAccessMode added in v0.11.0 

type FileSystemAccessMode string
const (
	FileSystemAccessModeRw FileSystemAccessMode = "rw"
	FileSystemAccessModeRo FileSystemAccessMode = "ro"
)

Enum values for FileSystemAccessMode

func (FileSystemAccessMode) MarshalValue added in v0.11.0 

func (enum FileSystemAccessMode) MarshalValue() (string, error)

func (FileSystemAccessMode) MarshalValueBuf added in v0.11.0 

func (enum FileSystemAccessMode) MarshalValueBuf(b []byte) ([]byte, error)

type FileSystemDataSource added in v0.11.0 

type FileSystemDataSource struct {

	// The full path to the directory to associate with the channel.
	//
	// DirectoryPath is a required field
	DirectoryPath *string `type:"string" required:"true"`

	// The access mode of the mount of the directory associated with the channel.
	// A directory can be mounted either in ro (read-only) or rw (read-write) mode.
	//
	// FileSystemAccessMode is a required field
	FileSystemAccessMode FileSystemAccessMode `type:"string" required:"true" enum:"true"`

	// The file system id.
	//
	// FileSystemId is a required field
	FileSystemId *string `min:"11" type:"string" required:"true"`

	// The file system type.
	//
	// FileSystemType is a required field
	FileSystemType FileSystemType `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Specifies a file system data source for a channel.

func (FileSystemDataSource) String added in v0.11.0 

func (s FileSystemDataSource) String() string

String returns the string representation

func (*FileSystemDataSource) Validate added in v0.11.0 

func (s *FileSystemDataSource) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type FileSystemType added in v0.11.0 

type FileSystemType string
const (
	FileSystemTypeEfs       FileSystemType = "EFS"
	FileSystemTypeFsxLustre FileSystemType = "FSxLustre"
)

Enum values for FileSystemType

func (FileSystemType) MarshalValue added in v0.11.0 

func (enum FileSystemType) MarshalValue() (string, error)

func (FileSystemType) MarshalValueBuf added in v0.11.0 

func (enum FileSystemType) MarshalValueBuf(b []byte) ([]byte, error)

type Filter added in v0.6.0 

type Filter struct {

	// A resource property name. For example, TrainingJobName. For valid property
	// names, see SearchRecord. You must specify a valid property for the resource.
	//
	// Name is a required field
	Name *string `min:"1" type:"string" required:"true"`

	// A Boolean binary operator that is used to evaluate the filter. The operator
	// field contains one of the following values:
	//
	// Equals
	//
	// The value of Name equals Value.
	//
	// NotEquals
	//
	// The value of Name doesn't equal Value.
	//
	// Exists
	//
	// The Name property exists.
	//
	// NotExists
	//
	// The Name property does not exist.
	//
	// GreaterThan
	//
	// The value of Name is greater than Value. Not supported for text properties.
	//
	// GreaterThanOrEqualTo
	//
	// The value of Name is greater than or equal to Value. Not supported for text
	// properties.
	//
	// LessThan
	//
	// The value of Name is less than Value. Not supported for text properties.
	//
	// LessThanOrEqualTo
	//
	// The value of Name is less than or equal to Value. Not supported for text
	// properties.
	//
	// In
	//
	// The value of Name is one of the comma delimited strings in Value. Only supported
	// for text properties.
	//
	// Contains
	//
	// The value of Name contains the string Value. Only supported for text properties.
	//
	// A SearchExpression can include the Contains operator multiple times when
	// the value of Name is one of the following:
	//
	//    * Experiment.DisplayName
	//
	//    * Experiment.ExperimentName
	//
	//    * Experiment.Tags
	//
	//    * Trial.DisplayName
	//
	//    * Trial.TrialName
	//
	//    * Trial.Tags
	//
	//    * TrialComponent.DisplayName
	//
	//    * TrialComponent.TrialComponentName
	//
	//    * TrialComponent.Tags
	//
	//    * TrialComponent.InputArtifacts
	//
	//    * TrialComponent.OutputArtifacts
	//
	// A SearchExpression can include only one Contains operator for all other values
	// of Name. In these cases, if you include multiple Contains operators in the
	// SearchExpression, the result is the following error message: "'CONTAINS'
	// operator usage limit of 1 exceeded."
	Operator Operator `type:"string" enum:"true"`

	// A value used with Name and Operator to determine which resources satisfy
	// the filter's condition. For numerical properties, Value must be an integer
	// or floating-point decimal. For timestamp properties, Value must be an ISO
	// 8601 date-time string of the following format: YYYY-mm-dd'T'HH:MM:SS.
	Value *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

A conditional statement for a search expression that includes a resource property, a Boolean operator, and a value. Resources that match the statement are returned in the results from the Search API.

If you specify a Value, but not an Operator, Amazon SageMaker uses the equals operator.

In search, there are several property types:

Metrics

To define a metric filter, enter a value using the form "Metrics.<name>", where <name> is a metric name. For example, the following filter searches for training jobs with an "accuracy" metric greater than "0.9":

{

"Name": "Metrics.accuracy",

"Operator": "GreaterThan",

"Value": "0.9"

}

HyperParameters

To define a hyperparameter filter, enter a value with the form "HyperParameters.<name>". Decimal hyperparameter values are treated as a decimal in a comparison if the specified Value is also a decimal value. If the specified Value is an integer, the decimal hyperparameter values are treated as integers. For example, the following filter is satisfied by training jobs with a "learning_rate" hyperparameter that is less than "0.5":

{

"Name": "HyperParameters.learning_rate",

"Operator": "LessThan",

"Value": "0.5"

}

Tags

To define a tag filter, enter a value with the form Tags.<key>.

func (Filter) String added in v0.6.0 

func (s Filter) String() string

String returns the string representation

func (*Filter) Validate added in v0.6.0 

func (s *Filter) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type FinalAutoMLJobObjectiveMetric added in v0.18.0 

type FinalAutoMLJobObjectiveMetric struct {

	// The name of the metric.
	//
	// MetricName is a required field
	MetricName AutoMLMetricEnum `type:"string" required:"true" enum:"true"`

	// The metric type used.
	Type AutoMLJobObjectiveType `type:"string" enum:"true"`

	// The value of the metric.
	//
	// Value is a required field
	Value *float64 `type:"float" required:"true"`
	// contains filtered or unexported fields
}

The candidate result from a job.

func (FinalAutoMLJobObjectiveMetric) String added in v0.18.0 

func (s FinalAutoMLJobObjectiveMetric) String() string

String returns the string representation

type FinalHyperParameterTuningJobObjectiveMetric added in v0.5.0 

type FinalHyperParameterTuningJobObjectiveMetric struct {

	// The name of the objective metric.
	//
	// MetricName is a required field
	MetricName *string `min:"1" type:"string" required:"true"`

	// Whether to minimize or maximize the objective metric. Valid values are Minimize
	// and Maximize.
	Type HyperParameterTuningJobObjectiveType `type:"string" enum:"true"`

	// The value of the objective metric.
	//
	// Value is a required field
	Value *float64 `type:"float" required:"true"`
	// contains filtered or unexported fields
}

Shows the final value for the objective metric for a training job that was launched by a hyperparameter tuning job. You define the objective metric in the HyperParameterTuningJobObjective parameter of HyperParameterTuningJobConfig.

func (FinalHyperParameterTuningJobObjectiveMetric) String added in v0.5.0 

func (s FinalHyperParameterTuningJobObjectiveMetric) String() string

String returns the string representation

type FlowDefinitionOutputConfig added in v0.18.0 

type FlowDefinitionOutputConfig struct {

	// The Amazon Key Management Service (KMS) key ID for server-side encryption.
	KmsKeyId *string `type:"string"`

	// The Amazon S3 path where the object containing human output will be made
	// available.
	//
	// S3OutputPath is a required field
	S3OutputPath *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Contains information about where human output will be stored.

func (FlowDefinitionOutputConfig) String added in v0.18.0 

func (s FlowDefinitionOutputConfig) String() string

String returns the string representation

func (*FlowDefinitionOutputConfig) Validate added in v0.18.0 

func (s *FlowDefinitionOutputConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type FlowDefinitionStatus added in v0.18.0 

type FlowDefinitionStatus string
const (
	FlowDefinitionStatusInitializing FlowDefinitionStatus = "Initializing"
	FlowDefinitionStatusActive       FlowDefinitionStatus = "Active"
	FlowDefinitionStatusFailed       FlowDefinitionStatus = "Failed"
	FlowDefinitionStatusDeleting     FlowDefinitionStatus = "Deleting"
)

Enum values for FlowDefinitionStatus

func (FlowDefinitionStatus) MarshalValue added in v0.18.0 

func (enum FlowDefinitionStatus) MarshalValue() (string, error)

func (FlowDefinitionStatus) MarshalValueBuf added in v0.18.0 

func (enum FlowDefinitionStatus) MarshalValueBuf(b []byte) ([]byte, error)

type FlowDefinitionSummary added in v0.18.0 

type FlowDefinitionSummary struct {

	// The timestamp when SageMaker created the flow definition.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The reason why the flow definition creation failed. A failure reason is returned
	// only when the flow definition status is Failed.
	FailureReason *string `type:"string"`

	// The Amazon Resource Name (ARN) of the flow definition.
	//
	// FlowDefinitionArn is a required field
	FlowDefinitionArn *string `type:"string" required:"true"`

	// The name of the flow definition.
	//
	// FlowDefinitionName is a required field
	FlowDefinitionName *string `min:"1" type:"string" required:"true"`

	// The status of the flow definition. Valid values:
	//
	// FlowDefinitionStatus is a required field
	FlowDefinitionStatus FlowDefinitionStatus `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Contains summary information about the flow definition.

func (FlowDefinitionSummary) String added in v0.18.0 

func (s FlowDefinitionSummary) String() string

String returns the string representation

type Framework added in v0.6.0 

type Framework string
const (
	FrameworkTensorflow Framework = "TENSORFLOW"
	FrameworkKeras      Framework = "KERAS"
	FrameworkMxnet      Framework = "MXNET"
	FrameworkOnnx       Framework = "ONNX"
	FrameworkPytorch    Framework = "PYTORCH"
	FrameworkXgboost    Framework = "XGBOOST"
	FrameworkTflite     Framework = "TFLITE"
)

Enum values for Framework

func (Framework) MarshalValue added in v0.6.0 

func (enum Framework) MarshalValue() (string, error)

func (Framework) MarshalValueBuf added in v0.6.0 

func (enum Framework) MarshalValueBuf(b []byte) ([]byte, error)

type GetSearchSuggestionsInput added in v0.6.0 

type GetSearchSuggestionsInput struct {

	// The name of the Amazon SageMaker resource to search for.
	//
	// Resource is a required field
	Resource ResourceType `type:"string" required:"true" enum:"true"`

	// Limits the property names that are included in the response.
	SuggestionQuery *SuggestionQuery `type:"structure"`
	// contains filtered or unexported fields
}

func (GetSearchSuggestionsInput) String added in v0.6.0 

func (s GetSearchSuggestionsInput) String() string

String returns the string representation

func (*GetSearchSuggestionsInput) Validate added in v0.6.0 

func (s *GetSearchSuggestionsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type GetSearchSuggestionsOutput added in v0.6.0 

type GetSearchSuggestionsOutput struct {

	// A list of property names for a Resource that match a SuggestionQuery.
	PropertyNameSuggestions []PropertyNameSuggestion `type:"list"`
	// contains filtered or unexported fields
}

func (GetSearchSuggestionsOutput) String added in v0.6.0 

func (s GetSearchSuggestionsOutput) String() string

String returns the string representation

type GetSearchSuggestionsRequest added in v0.6.0 

type GetSearchSuggestionsRequest struct {
	*aws.Request
	Input *GetSearchSuggestionsInput
	Copy  func(*GetSearchSuggestionsInput) GetSearchSuggestionsRequest
}

GetSearchSuggestionsRequest is the request type for the GetSearchSuggestions API operation.

func (GetSearchSuggestionsRequest) Send added in v0.6.0 

func (r GetSearchSuggestionsRequest) Send(ctx context.Context) (*GetSearchSuggestionsResponse, error)

Send marshals and sends the GetSearchSuggestions API request.

type GetSearchSuggestionsResponse added in v0.9.0 

type GetSearchSuggestionsResponse struct {
	*GetSearchSuggestionsOutput
	// contains filtered or unexported fields
}

GetSearchSuggestionsResponse is the response type for the GetSearchSuggestions API operation.

func (*GetSearchSuggestionsResponse) SDKResponseMetdata added in v0.9.0 

func (r *GetSearchSuggestionsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the GetSearchSuggestions request.

type GitConfig added in v0.6.0 

type GitConfig struct {

	// The default branch for the Git repository.
	Branch *string `min:"1" type:"string"`

	// The URL where the Git repository is located.
	//
	// RepositoryUrl is a required field
	RepositoryUrl *string `type:"string" required:"true"`

	// The Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains
	// the credentials used to access the git repository. The secret must have a
	// staging label of AWSCURRENT and must be in the following format:
	//
	// {"username": UserName, "password": Password}
	SecretArn *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

Specifies configuration details for a Git repository in your AWS account.

func (GitConfig) String added in v0.6.0 

func (s GitConfig) String() string

String returns the string representation

func (*GitConfig) Validate added in v0.6.0 

func (s *GitConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type GitConfigForUpdate added in v0.6.0 

type GitConfigForUpdate struct {

	// The Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains
	// the credentials used to access the git repository. The secret must have a
	// staging label of AWSCURRENT and must be in the following format:
	//
	// {"username": UserName, "password": Password}
	SecretArn *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

Specifies configuration details for a Git repository when the repository is updated.

func (GitConfigForUpdate) String added in v0.6.0 

func (s GitConfigForUpdate) String() string

String returns the string representation

func (*GitConfigForUpdate) Validate added in v0.6.0 

func (s *GitConfigForUpdate) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type HumanLoopActivationConditionsConfig added in v0.18.0 

type HumanLoopActivationConditionsConfig struct {

	// JSON expressing use-case specific conditions declaratively. If any condition
	// is matched, atomic tasks are created against the configured work team. The
	// set of conditions is different for Rekognition and Textract. For more information
	// about how to structure the JSON, see JSON Schema for Human Loop Activation
	// Conditions in Amazon Augmented AI (https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-human-fallback-conditions-json-schema.html)
	// in the Amazon SageMaker Developer Guide.
	//
	// HumanLoopActivationConditions is a required field
	HumanLoopActivationConditions aws.JSONValue `type:"jsonvalue" required:"true"`
	// contains filtered or unexported fields
}

Defines under what conditions SageMaker creates a human loop. Used within . See for the required format of activation conditions.

func (HumanLoopActivationConditionsConfig) String added in v0.18.0 

func (s HumanLoopActivationConditionsConfig) String() string

String returns the string representation

func (*HumanLoopActivationConditionsConfig) Validate added in v0.18.0 

func (s *HumanLoopActivationConditionsConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type HumanLoopActivationConfig added in v0.18.0 

type HumanLoopActivationConfig struct {

	// Container structure for defining under what conditions SageMaker creates
	// a human loop.
	//
	// HumanLoopActivationConditionsConfig is a required field
	HumanLoopActivationConditionsConfig *HumanLoopActivationConditionsConfig `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

Provides information about how and under what conditions SageMaker creates a human loop. If HumanLoopActivationConfig is not given, then all requests go to humans.

func (HumanLoopActivationConfig) String added in v0.18.0 

func (s HumanLoopActivationConfig) String() string

String returns the string representation

func (*HumanLoopActivationConfig) Validate added in v0.18.0 

func (s *HumanLoopActivationConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type HumanLoopConfig added in v0.18.0 

type HumanLoopConfig struct {

	// The Amazon Resource Name (ARN) of the human task user interface.
	//
	// HumanTaskUiArn is a required field
	HumanTaskUiArn *string `type:"string" required:"true"`

	// Defines the amount of money paid to an Amazon Mechanical Turk worker for
	// each task performed.
	//
	// Use one of the following prices for bounding box tasks. Prices are in US
	// dollars and should be based on the complexity of the task; the longer it
	// takes in your initial testing, the more you should offer.
	//
	//    * 0.036
	//
	//    * 0.048
	//
	//    * 0.060
	//
	//    * 0.072
	//
	//    * 0.120
	//
	//    * 0.240
	//
	//    * 0.360
	//
	//    * 0.480
	//
	//    * 0.600
	//
	//    * 0.720
	//
	//    * 0.840
	//
	//    * 0.960
	//
	//    * 1.080
	//
	//    * 1.200
	//
	// Use one of the following prices for image classification, text classification,
	// and custom tasks. Prices are in US dollars.
	//
	//    * 0.012
	//
	//    * 0.024
	//
	//    * 0.036
	//
	//    * 0.048
	//
	//    * 0.060
	//
	//    * 0.072
	//
	//    * 0.120
	//
	//    * 0.240
	//
	//    * 0.360
	//
	//    * 0.480
	//
	//    * 0.600
	//
	//    * 0.720
	//
	//    * 0.840
	//
	//    * 0.960
	//
	//    * 1.080
	//
	//    * 1.200
	//
	// Use one of the following prices for semantic segmentation tasks. Prices are
	// in US dollars.
	//
	//    * 0.840
	//
	//    * 0.960
	//
	//    * 1.080
	//
	//    * 1.200
	//
	// Use one of the following prices for Textract AnalyzeDocument Important Form
	// Key Amazon Augmented AI review tasks. Prices are in US dollars.
	//
	//    * 2.400
	//
	//    * 2.280
	//
	//    * 2.160
	//
	//    * 2.040
	//
	//    * 1.920
	//
	//    * 1.800
	//
	//    * 1.680
	//
	//    * 1.560
	//
	//    * 1.440
	//
	//    * 1.320
	//
	//    * 1.200
	//
	//    * 1.080
	//
	//    * 0.960
	//
	//    * 0.840
	//
	//    * 0.720
	//
	//    * 0.600
	//
	//    * 0.480
	//
	//    * 0.360
	//
	//    * 0.240
	//
	//    * 0.120
	//
	//    * 0.072
	//
	//    * 0.060
	//
	//    * 0.048
	//
	//    * 0.036
	//
	//    * 0.024
	//
	//    * 0.012
	//
	// Use one of the following prices for Rekognition DetectModerationLabels Amazon
	// Augmented AI review tasks. Prices are in US dollars.
	//
	//    * 1.200
	//
	//    * 1.080
	//
	//    * 0.960
	//
	//    * 0.840
	//
	//    * 0.720
	//
	//    * 0.600
	//
	//    * 0.480
	//
	//    * 0.360
	//
	//    * 0.240
	//
	//    * 0.120
	//
	//    * 0.072
	//
	//    * 0.060
	//
	//    * 0.048
	//
	//    * 0.036
	//
	//    * 0.024
	//
	//    * 0.012
	//
	// Use one of the following prices for Amazon Augmented AI custom human review
	// tasks. Prices are in US dollars.
	//
	//    * 1.200
	//
	//    * 1.080
	//
	//    * 0.960
	//
	//    * 0.840
	//
	//    * 0.720
	//
	//    * 0.600
	//
	//    * 0.480
	//
	//    * 0.360
	//
	//    * 0.240
	//
	//    * 0.120
	//
	//    * 0.072
	//
	//    * 0.060
	//
	//    * 0.048
	//
	//    * 0.036
	//
	//    * 0.024
	//
	//    * 0.012
	PublicWorkforceTaskPrice *PublicWorkforceTaskPrice `type:"structure"`

	// The length of time that a task remains available for labeling by human workers.
	TaskAvailabilityLifetimeInSeconds *int64 `min:"1" type:"integer"`

	// The number of distinct workers who will perform the same task on each object.
	// For example, if TaskCount is set to 3 for an image classification labeling
	// job, three workers will classify each input image. Increasing TaskCount can
	// improve label accuracy.
	//
	// TaskCount is a required field
	TaskCount *int64 `min:"1" type:"integer" required:"true"`

	// A description for the human worker task.
	//
	// TaskDescription is a required field
	TaskDescription *string `min:"1" type:"string" required:"true"`

	// Keywords used to describe the task so that workers can discover the task.
	TaskKeywords []string `min:"1" type:"list"`

	// The amount of time that a worker has to complete a task.
	TaskTimeLimitInSeconds *int64 `min:"30" type:"integer"`

	// A title for the human worker task.
	//
	// TaskTitle is a required field
	TaskTitle *string `min:"1" type:"string" required:"true"`

	// Amazon Resource Name (ARN) of a team of workers.
	//
	// WorkteamArn is a required field
	WorkteamArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Describes the work to be performed by human workers.

func (HumanLoopConfig) String added in v0.18.0 

func (s HumanLoopConfig) String() string

String returns the string representation

func (*HumanLoopConfig) Validate added in v0.18.0 

func (s *HumanLoopConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type HumanLoopRequestSource added in v0.18.0 

type HumanLoopRequestSource struct {

	// Specifies whether Amazon Rekognition or Amazon Textract are used as the integration
	// source. The default field settings and JSON parsing rules are different based
	// on the integration source. Valid values:
	//
	// AwsManagedHumanLoopRequestSource is a required field
	AwsManagedHumanLoopRequestSource AwsManagedHumanLoopRequestSource `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Container for configuring the source of human task requests.

func (HumanLoopRequestSource) String added in v0.18.0 

func (s HumanLoopRequestSource) String() string

String returns the string representation

func (*HumanLoopRequestSource) Validate added in v0.18.0 

func (s *HumanLoopRequestSource) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type HumanTaskConfig added in v0.6.0 

type HumanTaskConfig struct {

	// Configures how labels are consolidated across human workers.
	//
	// AnnotationConsolidationConfig is a required field
	AnnotationConsolidationConfig *AnnotationConsolidationConfig `type:"structure" required:"true"`

	// Defines the maximum number of data objects that can be labeled by human workers
	// at the same time. Also referred to as batch size. Each object may have more
	// than one worker at one time. The default value is 1000 objects.
	MaxConcurrentTaskCount *int64 `min:"1" type:"integer"`

	// The number of human workers that will label an object.
	//
	// NumberOfHumanWorkersPerDataObject is a required field
	NumberOfHumanWorkersPerDataObject *int64 `min:"1" type:"integer" required:"true"`

	// The Amazon Resource Name (ARN) of a Lambda function that is run before a
	// data object is sent to a human worker. Use this function to provide input
	// to a custom labeling job.
	//
	// For built-in task types (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-task-types.html),
	// use one of the following Amazon SageMaker Ground Truth Lambda function ARNs
	// for PreHumanTaskLambdaArn. For custom labeling workflows, see Pre-annotation
	// Lambda (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-custom-templates-step3.html#sms-custom-templates-step3-prelambda).
	//
	// Bounding box - Finds the most similar boxes from different workers based
	// on the Jaccard index of the boxes.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox
	//
	//    * arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox
	//
	//    * arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox
	//
	//    * arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox
	//
	//    * arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox
	//
	//    * arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox
	//
	//    * arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox
	//
	//    * arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox
	//
	//    * arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox
	//
	//    * arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox
	//
	//    * arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox
	//
	//    * arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox
	//
	// Image classification - Uses a variant of the Expectation Maximization approach
	// to estimate the true class of an image based on annotations from individual
	// workers.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass
	//
	//    * arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass
	//
	//    * arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass
	//
	//    * arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass
	//
	//    * arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass
	//
	//    * arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass
	//
	//    * arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass
	//
	//    * arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass
	//
	//    * arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass
	//
	//    * arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass
	//
	//    * arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass
	//
	//    * arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass
	//
	// Multi-label image classification - Uses a variant of the Expectation Maximization
	// approach to estimate the true classes of an image based on annotations from
	// individual workers.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClassMultiLabel
	//
	//    * arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClassMultiLabel
	//
	//    * arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClassMultiLabel
	//
	//    * arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClassMultiLabel
	//
	//    * arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClassMultiLabel
	//
	//    * arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClassMultiLabel
	//
	//    * arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClassMultiLabel
	//
	//    * arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClassMultiLabel
	//
	//    * arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClassMultiLabel
	//
	//    * arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClassMultiLabel
	//
	//    * arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClassMultiLabel
	//
	//    * arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClassMultiLabel
	//
	// Semantic segmentation - Treats each pixel in an image as a multi-class classification
	// and treats pixel annotations from workers as "votes" for the correct label.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation
	//
	//    * arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation
	//
	//    * arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation
	//
	//    * arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation
	//
	//    * arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation
	//
	//    * arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation
	//
	//    * arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation
	//
	//    * arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation
	//
	//    * arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation
	//
	//    * arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation
	//
	//    * arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation
	//
	//    * arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation
	//
	// Text classification - Uses a variant of the Expectation Maximization approach
	// to estimate the true class of text based on annotations from individual workers.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass
	//
	//    * arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass
	//
	//    * arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass
	//
	//    * arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClass
	//
	//    * arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass
	//
	//    * arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClass
	//
	//    * arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClass
	//
	//    * arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass
	//
	//    * arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass
	//
	//    * arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClass
	//
	//    * arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass
	//
	//    * arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass
	//
	// Multi-label text classification - Uses a variant of the Expectation Maximization
	// approach to estimate the true classes of text based on annotations from individual
	// workers.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClassMultiLabel
	//
	//    * arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClassMultiLabel
	//
	//    * arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClassMultiLabel
	//
	//    * arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClassMultiLabel
	//
	//    * arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClassMultiLabel
	//
	//    * arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClassMultiLabel
	//
	//    * arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClassMultiLabel
	//
	//    * arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClassMultiLabel
	//
	//    * arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClassMultiLabel
	//
	//    * arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClassMultiLabel
	//
	//    * arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClassMultiLabel
	//
	//    * arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClassMultiLabel
	//
	// Named entity recognition - Groups similar selections and calculates aggregate
	// boundaries, resolving to most-assigned label.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition
	//
	//    * arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition
	//
	//    * arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition
	//
	//    * arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition
	//
	//    * arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition
	//
	//    * arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition
	//
	//    * arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition
	//
	//    * arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition
	//
	//    * arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition
	//
	//    * arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition
	//
	//    * arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition
	//
	//    * arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition
	//
	// 3D Point Cloud Modalities
	//
	// Use the following pre-annotation lambdas for 3D point cloud labeling modality
	// tasks. See 3D Point Cloud Task types (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-point-cloud-task-types.html)
	// to learn more.
	//
	// 3D Point Cloud Object Detection - Use this task type when you want workers
	// to classify objects in a 3D point cloud by drawing 3D cuboids around objects.
	// For example, you can use this task type to ask workers to identify different
	// types of objects in a point cloud, such as cars, bikes, and pedestrians.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectDetection
	//
	//    * arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectDetection
	//
	//    * arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectDetection
	//
	//    * arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectDetection
	//
	//    * arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectDetection
	//
	//    * arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectDetection
	//
	//    * arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectDetection
	//
	//    * arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectDetection
	//
	//    * arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectDetection
	//
	//    * arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectDetection
	//
	//    * arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectDetection
	//
	//    * arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectDetection
	//
	// 3D Point Cloud Object Tracking - Use this task type when you want workers
	// to draw 3D cuboids around objects that appear in a sequence of 3D point cloud
	// frames. For example, you can use this task type to ask workers to track the
	// movement of vehicles across multiple point cloud frames.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectTracking
	//
	// 3D Point Cloud Semantic Segmentation - Use this task type when you want workers
	// to create a point-level semantic segmentation masks by painting objects in
	// a 3D point cloud using different colors where each color is assigned to one
	// of the classes you specify.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudSemanticSegmentation
	//
	//    * arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudSemanticSegmentation
	//
	//    * arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudSemanticSegmentation
	//
	//    * arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudSemanticSegmentation
	//
	//    * arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudSemanticSegmentation
	//
	//    * arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudSemanticSegmentation
	//
	//    * arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudSemanticSegmentation
	//
	//    * arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudSemanticSegmentation
	//
	//    * arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudSemanticSegmentation
	//
	//    * arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudSemanticSegmentation
	//
	//    * arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudSemanticSegmentation
	//
	//    * arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudSemanticSegmentation
	//
	// Use the following ARNs for Label Verification and Adjustment Jobs
	//
	// Use label verification and adjustment jobs to review and adjust labels. To
	// learn more, see Verify and Adjust Labels (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-verification-data.html).
	//
	// Bounding box verification - Uses a variant of the Expectation Maximization
	// approach to estimate the true class of verification judgement for bounding
	// box labels based on annotations from individual workers.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	// Bounding box adjustment - Finds the most similar boxes from different workers
	// based on the Jaccard index of the adjusted annotations.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox
	//
	//    * arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox
	//
	//    * arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox
	//
	//    * arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox
	//
	//    * arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox
	//
	//    * arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox
	//
	//    * arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox
	//
	//    * arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox
	//
	//    * arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox
	//
	//    * arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox
	//
	//    * arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox
	//
	//    * arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox
	//
	// Semantic segmentation verification - Uses a variant of the Expectation Maximization
	// approach to estimate the true class of verification judgment for semantic
	// segmentation labels based on annotations from individual workers.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation
	//
	//    * arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation
	//
	//    * arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation
	//
	//    * arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation
	//
	//    * arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation
	//
	//    * arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation
	//
	//    * arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation
	//
	//    * arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation
	//
	//    * arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation
	//
	//    * arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation
	//
	//    * arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation
	//
	//    * arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation
	//
	// Semantic segmentation adjustment - Treats each pixel in an image as a multi-class
	// classification and treats pixel adjusted annotations from workers as "votes"
	// for the correct label.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation
	//
	//    * arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation
	//
	//    * arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation
	//
	//    * arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation
	//
	//    * arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation
	//
	//    * arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation
	//
	//    * arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation
	//
	//    * arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation
	//
	//    * arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation
	//
	//    * arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation
	//
	//    * arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation
	//
	//    * arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation
	//
	// 3D point cloud object detection adjustment - Adjust 3D cuboids in a point
	// cloud frame.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectDetection
	//
	//    * arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectDetection
	//
	//    * arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectDetection
	//
	//    * arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectDetection
	//
	//    * arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectDetection
	//
	//    * arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectDetection
	//
	//    * arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectDetection
	//
	//    * arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectDetection
	//
	//    * arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectDetection
	//
	//    * arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectDetection
	//
	//    * arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectDetection
	//
	//    * arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectDetection
	//
	// 3D point cloud object tracking adjustment - Adjust 3D cuboids across a sequence
	// of point cloud frames.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	//    * arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking
	//
	// 3D point cloud semantic segmentation adjustment - Adjust semantic segmentation
	// masks in a 3D point cloud.
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudSemanticSegmentation
	//
	//    * arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudSemanticSegmentation
	//
	//    * arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudSemanticSegmentation
	//
	//    * arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudSemanticSegmentation
	//
	//    * arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudSemanticSegmentation
	//
	//    * arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudSemanticSegmentation
	//
	//    * arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudSemanticSegmentation
	//
	//    * arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudSemanticSegmentation
	//
	//    * arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudSemanticSegmentation
	//
	//    * arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudSemanticSegmentation
	//
	//    * arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudSemanticSegmentation
	//
	//    * arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudSemanticSegmentation
	//
	// PreHumanTaskLambdaArn is a required field
	PreHumanTaskLambdaArn *string `type:"string" required:"true"`

	// The price that you pay for each task performed by an Amazon Mechanical Turk
	// worker.
	PublicWorkforceTaskPrice *PublicWorkforceTaskPrice `type:"structure"`

	// The length of time that a task remains available for labeling by human workers.
	// If you choose the Amazon Mechanical Turk workforce, the maximum is 12 hours
	// (43200). The default value is 864000 seconds (10 days). For private and vendor
	// workforces, the maximum is as listed.
	TaskAvailabilityLifetimeInSeconds *int64 `min:"60" type:"integer"`

	// A description of the task for your human workers.
	//
	// TaskDescription is a required field
	TaskDescription *string `min:"1" type:"string" required:"true"`

	// Keywords used to describe the task so that workers on Amazon Mechanical Turk
	// can discover the task.
	TaskKeywords []string `min:"1" type:"list"`

	// The amount of time that a worker has to complete a task.
	//
	// TaskTimeLimitInSeconds is a required field
	TaskTimeLimitInSeconds *int64 `min:"30" type:"integer" required:"true"`

	// A title for the task for your human workers.
	//
	// TaskTitle is a required field
	TaskTitle *string `min:"1" type:"string" required:"true"`

	// Information about the user interface that workers use to complete the labeling
	// task.
	//
	// UiConfig is a required field
	UiConfig *UiConfig `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) of the work team assigned to complete the
	// tasks.
	//
	// WorkteamArn is a required field
	WorkteamArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Information required for human workers to complete a labeling task.

func (HumanTaskConfig) String added in v0.6.0 

func (s HumanTaskConfig) String() string

String returns the string representation

func (*HumanTaskConfig) Validate added in v0.6.0 

func (s *HumanTaskConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type HumanTaskUiStatus added in v0.24.0 

type HumanTaskUiStatus string
const (
	HumanTaskUiStatusActive   HumanTaskUiStatus = "Active"
	HumanTaskUiStatusDeleting HumanTaskUiStatus = "Deleting"
)

Enum values for HumanTaskUiStatus

func (HumanTaskUiStatus) MarshalValue added in v0.24.0 

func (enum HumanTaskUiStatus) MarshalValue() (string, error)

func (HumanTaskUiStatus) MarshalValueBuf added in v0.24.0 

func (enum HumanTaskUiStatus) MarshalValueBuf(b []byte) ([]byte, error)

type HumanTaskUiSummary added in v0.18.0 

type HumanTaskUiSummary struct {

	// A timestamp when SageMaker created the human task user interface.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The Amazon Resource Name (ARN) of the human task user interface.
	//
	// HumanTaskUiArn is a required field
	HumanTaskUiArn *string `type:"string" required:"true"`

	// The name of the human task user interface.
	//
	// HumanTaskUiName is a required field
	HumanTaskUiName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

Container for human task user interface information.

func (HumanTaskUiSummary) String added in v0.18.0 

func (s HumanTaskUiSummary) String() string

String returns the string representation

type HyperParameterAlgorithmSpecification added in v0.5.0 

type HyperParameterAlgorithmSpecification struct {

	// The name of the resource algorithm to use for the hyperparameter tuning job.
	// If you specify a value for this parameter, do not specify a value for TrainingImage.
	AlgorithmName *string `min:"1" type:"string"`

	// An array of MetricDefinition objects that specify the metrics that the algorithm
	// emits.
	MetricDefinitions []MetricDefinition `type:"list"`

	// The registry path of the Docker image that contains the training algorithm.
	// For information about Docker registry paths for built-in algorithms, see
	// Algorithms Provided by Amazon SageMaker: Common Parameters (https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-algo-docker-registry-paths.html).
	// Amazon SageMaker supports both registry/repository[:tag] and registry/repository[@digest]
	// image path formats. For more information, see Using Your Own Algorithms with
	// Amazon SageMaker (https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms.html).
	TrainingImage *string `type:"string"`

	// The input mode that the algorithm supports: File or Pipe. In File input mode,
	// Amazon SageMaker downloads the training data from Amazon S3 to the storage
	// volume that is attached to the training instance and mounts the directory
	// to the Docker volume for the training container. In Pipe input mode, Amazon
	// SageMaker streams data directly from Amazon S3 to the container.
	//
	// If you specify File mode, make sure that you provision the storage volume
	// that is attached to the training instance with enough capacity to accommodate
	// the training data downloaded from Amazon S3, the model artifacts, and intermediate
	// information.
	//
	// For more information about input modes, see Algorithms (https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html).
	//
	// TrainingInputMode is a required field
	TrainingInputMode TrainingInputMode `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Specifies which training algorithm to use for training jobs that a hyperparameter tuning job launches and the metrics to monitor.

func (HyperParameterAlgorithmSpecification) String added in v0.5.0 

func (s HyperParameterAlgorithmSpecification) String() string

String returns the string representation

func (*HyperParameterAlgorithmSpecification) Validate added in v0.5.0 

func (s *HyperParameterAlgorithmSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type HyperParameterScalingType added in v0.8.0 

type HyperParameterScalingType string
const (
	HyperParameterScalingTypeAuto               HyperParameterScalingType = "Auto"
	HyperParameterScalingTypeLinear             HyperParameterScalingType = "Linear"
	HyperParameterScalingTypeLogarithmic        HyperParameterScalingType = "Logarithmic"
	HyperParameterScalingTypeReverseLogarithmic HyperParameterScalingType = "ReverseLogarithmic"
)

Enum values for HyperParameterScalingType

func (HyperParameterScalingType) MarshalValue added in v0.8.0 

func (enum HyperParameterScalingType) MarshalValue() (string, error)

func (HyperParameterScalingType) MarshalValueBuf added in v0.8.0 

func (enum HyperParameterScalingType) MarshalValueBuf(b []byte) ([]byte, error)

type HyperParameterSpecification added in v0.6.0 

type HyperParameterSpecification struct {

	// The default value for this hyperparameter. If a default value is specified,
	// a hyperparameter cannot be required.
	DefaultValue *string `type:"string"`

	// A brief description of the hyperparameter.
	Description *string `type:"string"`

	// Indicates whether this hyperparameter is required.
	IsRequired *bool `type:"boolean"`

	// Indicates whether this hyperparameter is tunable in a hyperparameter tuning
	// job.
	IsTunable *bool `type:"boolean"`

	// The name of this hyperparameter. The name must be unique.
	//
	// Name is a required field
	Name *string `type:"string" required:"true"`

	// The allowed range for this hyperparameter.
	Range *ParameterRange `type:"structure"`

	// The type of this hyperparameter. The valid types are Integer, Continuous,
	// Categorical, and FreeText.
	//
	// Type is a required field
	Type ParameterType `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Defines a hyperparameter to be used by an algorithm.

func (HyperParameterSpecification) String added in v0.6.0 

func (s HyperParameterSpecification) String() string

String returns the string representation

func (*HyperParameterSpecification) Validate added in v0.6.0 

func (s *HyperParameterSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type HyperParameterTrainingJobDefinition added in v0.5.0 

type HyperParameterTrainingJobDefinition struct {

	// The HyperParameterAlgorithmSpecification object that specifies the resource
	// algorithm to use for the training jobs that the tuning job launches.
	//
	// AlgorithmSpecification is a required field
	AlgorithmSpecification *HyperParameterAlgorithmSpecification `type:"structure" required:"true"`

	// Contains information about the output location for managed spot training
	// checkpoint data.
	CheckpointConfig *CheckpointConfig `type:"structure"`

	// The job definition name.
	DefinitionName *string `min:"1" type:"string"`

	// To encrypt all communications between ML compute instances in distributed
	// training, choose True. Encryption provides greater security for distributed
	// training, but training might take longer. How long it takes depends on the
	// amount of communication between compute instances, especially if you use
	// a deep learning algorithm in distributed training.
	EnableInterContainerTrafficEncryption *bool `type:"boolean"`

	// A Boolean indicating whether managed spot training is enabled (True) or not
	// (False).
	EnableManagedSpotTraining *bool `type:"boolean"`

	// Isolates the training container. No inbound or outbound network calls can
	// be made, except for calls between peers within a training cluster for distributed
	// training. If network isolation is used for training jobs that are configured
	// to use a VPC, Amazon SageMaker downloads and uploads customer data and model
	// artifacts through the specified VPC, but the training container does not
	// have network access.
	EnableNetworkIsolation *bool `type:"boolean"`

	// Specifies ranges of integer, continuous, and categorical hyperparameters
	// that a hyperparameter tuning job searches. The hyperparameter tuning job
	// launches training jobs with hyperparameter values within these ranges to
	// find the combination of values that result in the training job with the best
	// performance as measured by the objective metric of the hyperparameter tuning
	// job.
	//
	// You can specify a maximum of 20 hyperparameters that a hyperparameter tuning
	// job can search over. Every possible value of a categorical parameter range
	// counts against this limit.
	HyperParameterRanges *ParameterRanges `type:"structure"`

	// An array of Channel objects that specify the input for the training jobs
	// that the tuning job launches.
	InputDataConfig []Channel `min:"1" type:"list"`

	// Specifies the path to the Amazon S3 bucket where you store model artifacts
	// from the training jobs that the tuning job launches.
	//
	// OutputDataConfig is a required field
	OutputDataConfig *OutputDataConfig `type:"structure" required:"true"`

	// The resources, including the compute instances and storage volumes, to use
	// for the training jobs that the tuning job launches.
	//
	// Storage volumes store model artifacts and incremental states. Training algorithms
	// might also use storage volumes for scratch space. If you want Amazon SageMaker
	// to use the storage volume to store the training data, choose File as the
	// TrainingInputMode in the algorithm specification. For distributed training
	// algorithms, specify an instance count greater than 1.
	//
	// ResourceConfig is a required field
	ResourceConfig *ResourceConfig `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) of the IAM role associated with the training
	// jobs that the tuning job launches.
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"true"`

	// Specifies the values of hyperparameters that do not change for the tuning
	// job.
	StaticHyperParameters map[string]string `type:"map"`

	// Specifies a limit to how long a model hyperparameter training job can run.
	// It also specifies how long you are willing to wait for a managed spot training
	// job to complete. When the job reaches the a limit, Amazon SageMaker ends
	// the training job. Use this API to cap model training costs.
	//
	// StoppingCondition is a required field
	StoppingCondition *StoppingCondition `type:"structure" required:"true"`

	// Defines the objective metric for a hyperparameter tuning job. Hyperparameter
	// tuning uses the value of this metric to evaluate the training jobs it launches,
	// and returns the training job that results in either the highest or lowest
	// value for this metric, depending on the value you specify for the Type parameter.
	TuningObjective *HyperParameterTuningJobObjective `type:"structure"`

	// The VpcConfig object that specifies the VPC that you want the training jobs
	// that this hyperparameter tuning job launches to connect to. Control access
	// to and from your training container by configuring the VPC. For more information,
	// see Protect Training Jobs by Using an Amazon Virtual Private Cloud (https://docs.aws.amazon.com/sagemaker/latest/dg/train-vpc.html).
	VpcConfig *VpcConfig `type:"structure"`
	// contains filtered or unexported fields
}

Defines the training jobs launched by a hyperparameter tuning job.

func (HyperParameterTrainingJobDefinition) String added in v0.5.0 

func (s HyperParameterTrainingJobDefinition) String() string

String returns the string representation

func (*HyperParameterTrainingJobDefinition) Validate added in v0.5.0 

func (s *HyperParameterTrainingJobDefinition) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type HyperParameterTrainingJobSummary added in v0.5.0 

type HyperParameterTrainingJobSummary struct {

	// The date and time that the training job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The reason that the training job failed.
	FailureReason *string `type:"string"`

	// The FinalHyperParameterTuningJobObjectiveMetric object that specifies the
	// value of the objective metric of the tuning job that launched this training
	// job.
	FinalHyperParameterTuningJobObjectiveMetric *FinalHyperParameterTuningJobObjectiveMetric `type:"structure"`

	// The status of the objective metric for the training job:
	//
	//    * Succeeded: The final objective metric for the training job was evaluated
	//    by the hyperparameter tuning job and used in the hyperparameter tuning
	//    process.
	//
	//    * Pending: The training job is in progress and evaluation of its final
	//    objective metric is pending.
	//
	//    * Failed: The final objective metric for the training job was not evaluated,
	//    and was not used in the hyperparameter tuning process. This typically
	//    occurs when the training job failed or did not emit an objective metric.
	ObjectiveStatus ObjectiveStatus `type:"string" enum:"true"`

	// Specifies the time when the training job ends on training instances. You
	// are billed for the time interval between the value of TrainingStartTime and
	// this time. For successful jobs and stopped jobs, this is the time after model
	// artifacts are uploaded. For failed jobs, this is the time when Amazon SageMaker
	// detects a job failure.
	TrainingEndTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the training job.
	//
	// TrainingJobArn is a required field
	TrainingJobArn *string `type:"string" required:"true"`

	// The training job definition name.
	TrainingJobDefinitionName *string `min:"1" type:"string"`

	// The name of the training job.
	//
	// TrainingJobName is a required field
	TrainingJobName *string `min:"1" type:"string" required:"true"`

	// The status of the training job.
	//
	// TrainingJobStatus is a required field
	TrainingJobStatus TrainingJobStatus `type:"string" required:"true" enum:"true"`

	// The date and time that the training job started.
	TrainingStartTime *time.Time `type:"timestamp"`

	// A list of the hyperparameters for which you specified ranges to search.
	//
	// TunedHyperParameters is a required field
	TunedHyperParameters map[string]string `type:"map" required:"true"`

	// The HyperParameter tuning job that launched the training job.
	TuningJobName *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

Specifies summary information about a training job.

func (HyperParameterTrainingJobSummary) String added in v0.5.0 

func (s HyperParameterTrainingJobSummary) String() string

String returns the string representation

type HyperParameterTuningJobConfig added in v0.5.0 

type HyperParameterTuningJobConfig struct {

	// The HyperParameterTuningJobObjective object that specifies the objective
	// metric for this tuning job.
	HyperParameterTuningJobObjective *HyperParameterTuningJobObjective `type:"structure"`

	// The ParameterRanges object that specifies the ranges of hyperparameters that
	// this tuning job searches.
	ParameterRanges *ParameterRanges `type:"structure"`

	// The ResourceLimits object that specifies the maximum number of training jobs
	// and parallel training jobs for this tuning job.
	//
	// ResourceLimits is a required field
	ResourceLimits *ResourceLimits `type:"structure" required:"true"`

	// Specifies how hyperparameter tuning chooses the combinations of hyperparameter
	// values to use for the training job it launches. To use the Bayesian search
	// strategy, set this to Bayesian. To randomly search, set it to Random. For
	// information about search strategies, see How Hyperparameter Tuning Works
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-how-it-works.html).
	//
	// Strategy is a required field
	Strategy HyperParameterTuningJobStrategyType `type:"string" required:"true" enum:"true"`

	// Specifies whether to use early stopping for training jobs launched by the
	// hyperparameter tuning job. This can be one of the following values (the default
	// value is OFF):
	//
	// OFF
	//
	// Training jobs launched by the hyperparameter tuning job do not use early
	// stopping.
	//
	// AUTO
	//
	// Amazon SageMaker stops training jobs launched by the hyperparameter tuning
	// job when they are unlikely to perform better than previously completed training
	// jobs. For more information, see Stop Training Jobs Early (https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-early-stopping.html).
	TrainingJobEarlyStoppingType TrainingJobEarlyStoppingType `type:"string" enum:"true"`

	// The tuning job's completion criteria.
	TuningJobCompletionCriteria *TuningJobCompletionCriteria `type:"structure"`
	// contains filtered or unexported fields
}

Configures a hyperparameter tuning job.

func (HyperParameterTuningJobConfig) String added in v0.5.0 

func (s HyperParameterTuningJobConfig) String() string

String returns the string representation

func (*HyperParameterTuningJobConfig) Validate added in v0.5.0 

func (s *HyperParameterTuningJobConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type HyperParameterTuningJobObjective added in v0.5.0 

type HyperParameterTuningJobObjective struct {

	// The name of the metric to use for the objective metric.
	//
	// MetricName is a required field
	MetricName *string `min:"1" type:"string" required:"true"`

	// Whether to minimize or maximize the objective metric.
	//
	// Type is a required field
	Type HyperParameterTuningJobObjectiveType `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Defines the objective metric for a hyperparameter tuning job. Hyperparameter tuning uses the value of this metric to evaluate the training jobs it launches, and returns the training job that results in either the highest or lowest value for this metric, depending on the value you specify for the Type parameter.

func (HyperParameterTuningJobObjective) String added in v0.5.0 

func (s HyperParameterTuningJobObjective) String() string

String returns the string representation

func (*HyperParameterTuningJobObjective) Validate added in v0.5.0 

func (s *HyperParameterTuningJobObjective) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type HyperParameterTuningJobObjectiveType added in v0.5.0 

type HyperParameterTuningJobObjectiveType string
const (
	HyperParameterTuningJobObjectiveTypeMaximize HyperParameterTuningJobObjectiveType = "Maximize"
	HyperParameterTuningJobObjectiveTypeMinimize HyperParameterTuningJobObjectiveType = "Minimize"
)

Enum values for HyperParameterTuningJobObjectiveType

func (HyperParameterTuningJobObjectiveType) MarshalValue added in v0.5.0 

func (enum HyperParameterTuningJobObjectiveType) MarshalValue() (string, error)

func (HyperParameterTuningJobObjectiveType) MarshalValueBuf added in v0.5.0 

func (enum HyperParameterTuningJobObjectiveType) MarshalValueBuf(b []byte) ([]byte, error)

type HyperParameterTuningJobSortByOptions added in v0.5.0 

type HyperParameterTuningJobSortByOptions string
const (
	HyperParameterTuningJobSortByOptionsName         HyperParameterTuningJobSortByOptions = "Name"
	HyperParameterTuningJobSortByOptionsStatus       HyperParameterTuningJobSortByOptions = "Status"
	HyperParameterTuningJobSortByOptionsCreationTime HyperParameterTuningJobSortByOptions = "CreationTime"
)

Enum values for HyperParameterTuningJobSortByOptions

func (HyperParameterTuningJobSortByOptions) MarshalValue added in v0.5.0 

func (enum HyperParameterTuningJobSortByOptions) MarshalValue() (string, error)

func (HyperParameterTuningJobSortByOptions) MarshalValueBuf added in v0.5.0 

func (enum HyperParameterTuningJobSortByOptions) MarshalValueBuf(b []byte) ([]byte, error)

type HyperParameterTuningJobStatus added in v0.5.0 

type HyperParameterTuningJobStatus string
const (
	HyperParameterTuningJobStatusCompleted  HyperParameterTuningJobStatus = "Completed"
	HyperParameterTuningJobStatusInProgress HyperParameterTuningJobStatus = "InProgress"
	HyperParameterTuningJobStatusFailed     HyperParameterTuningJobStatus = "Failed"
	HyperParameterTuningJobStatusStopped    HyperParameterTuningJobStatus = "Stopped"
	HyperParameterTuningJobStatusStopping   HyperParameterTuningJobStatus = "Stopping"
)

Enum values for HyperParameterTuningJobStatus

func (HyperParameterTuningJobStatus) MarshalValue added in v0.5.0 

func (enum HyperParameterTuningJobStatus) MarshalValue() (string, error)

func (HyperParameterTuningJobStatus) MarshalValueBuf added in v0.5.0 

func (enum HyperParameterTuningJobStatus) MarshalValueBuf(b []byte) ([]byte, error)

type HyperParameterTuningJobStrategyType added in v0.5.0 

type HyperParameterTuningJobStrategyType string

The strategy hyperparameter tuning uses to find the best combination of hyperparameters for your model. Currently, the only supported value is Bayesian. 

const (
	HyperParameterTuningJobStrategyTypeBayesian HyperParameterTuningJobStrategyType = "Bayesian"
	HyperParameterTuningJobStrategyTypeRandom   HyperParameterTuningJobStrategyType = "Random"
)

Enum values for HyperParameterTuningJobStrategyType

func (HyperParameterTuningJobStrategyType) MarshalValue added in v0.5.0 

func (enum HyperParameterTuningJobStrategyType) MarshalValue() (string, error)

func (HyperParameterTuningJobStrategyType) MarshalValueBuf added in v0.5.0 

func (enum HyperParameterTuningJobStrategyType) MarshalValueBuf(b []byte) ([]byte, error)

type HyperParameterTuningJobSummary added in v0.5.0 

type HyperParameterTuningJobSummary struct {

	// The date and time that the tuning job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The date and time that the tuning job ended.
	HyperParameterTuningEndTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the tuning job.
	//
	// HyperParameterTuningJobArn is a required field
	HyperParameterTuningJobArn *string `type:"string" required:"true"`

	// The name of the tuning job.
	//
	// HyperParameterTuningJobName is a required field
	HyperParameterTuningJobName *string `min:"1" type:"string" required:"true"`

	// The status of the tuning job.
	//
	// HyperParameterTuningJobStatus is a required field
	HyperParameterTuningJobStatus HyperParameterTuningJobStatus `type:"string" required:"true" enum:"true"`

	// The date and time that the tuning job was modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The ObjectiveStatusCounters object that specifies the numbers of training
	// jobs, categorized by objective metric status, that this tuning job launched.
	//
	// ObjectiveStatusCounters is a required field
	ObjectiveStatusCounters *ObjectiveStatusCounters `type:"structure" required:"true"`

	// The ResourceLimits object that specifies the maximum number of training jobs
	// and parallel training jobs allowed for this tuning job.
	ResourceLimits *ResourceLimits `type:"structure"`

	// Specifies the search strategy hyperparameter tuning uses to choose which
	// hyperparameters to use for each iteration. Currently, the only valid value
	// is Bayesian.
	//
	// Strategy is a required field
	Strategy HyperParameterTuningJobStrategyType `type:"string" required:"true" enum:"true"`

	// The TrainingJobStatusCounters object that specifies the numbers of training
	// jobs, categorized by status, that this tuning job launched.
	//
	// TrainingJobStatusCounters is a required field
	TrainingJobStatusCounters *TrainingJobStatusCounters `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

Provides summary information about a hyperparameter tuning job.

func (HyperParameterTuningJobSummary) String added in v0.5.0 

func (s HyperParameterTuningJobSummary) String() string

String returns the string representation

type HyperParameterTuningJobWarmStartConfig added in v0.6.0 

type HyperParameterTuningJobWarmStartConfig struct {

	// An array of hyperparameter tuning jobs that are used as the starting point
	// for the new hyperparameter tuning job. For more information about warm starting
	// a hyperparameter tuning job, see Using a Previous Hyperparameter Tuning Job
	// as a Starting Point (https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-warm-start.html).
	//
	// Hyperparameter tuning jobs created before October 1, 2018 cannot be used
	// as parent jobs for warm start tuning jobs.
	//
	// ParentHyperParameterTuningJobs is a required field
	ParentHyperParameterTuningJobs []ParentHyperParameterTuningJob `min:"1" type:"list" required:"true"`

	// Specifies one of the following:
	//
	// IDENTICAL_DATA_AND_ALGORITHM
	//
	// The new hyperparameter tuning job uses the same input data and training image
	// as the parent tuning jobs. You can change the hyperparameter ranges to search
	// and the maximum number of training jobs that the hyperparameter tuning job
	// launches. You cannot use a new version of the training algorithm, unless
	// the changes in the new version do not affect the algorithm itself. For example,
	// changes that improve logging or adding support for a different data format
	// are allowed. You can also change hyperparameters from tunable to static,
	// and from static to tunable, but the total number of static plus tunable hyperparameters
	// must remain the same as it is in all parent jobs. The objective metric for
	// the new tuning job must be the same as for all parent jobs.
	//
	// TRANSFER_LEARNING
	//
	// The new hyperparameter tuning job can include input data, hyperparameter
	// ranges, maximum number of concurrent training jobs, and maximum number of
	// training jobs that are different than those of its parent hyperparameter
	// tuning jobs. The training image can also be a different version from the
	// version used in the parent hyperparameter tuning job. You can also change
	// hyperparameters from tunable to static, and from static to tunable, but the
	// total number of static plus tunable hyperparameters must remain the same
	// as it is in all parent jobs. The objective metric for the new tuning job
	// must be the same as for all parent jobs.
	//
	// WarmStartType is a required field
	WarmStartType HyperParameterTuningJobWarmStartType `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Specifies the configuration for a hyperparameter tuning job that uses one or more previous hyperparameter tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.

All training jobs launched by the new hyperparameter tuning job are evaluated by using the objective metric, and the training job that performs the best is compared to the best training jobs from the parent tuning jobs. From these, the training job that performs the best as measured by the objective metric is returned as the overall best training job.

All training jobs launched by parent hyperparameter tuning jobs and the new hyperparameter tuning jobs count against the limit of training jobs for the tuning job.

func (HyperParameterTuningJobWarmStartConfig) String added in v0.6.0 

func (s HyperParameterTuningJobWarmStartConfig) String() string

String returns the string representation

func (*HyperParameterTuningJobWarmStartConfig) Validate added in v0.6.0 

func (s *HyperParameterTuningJobWarmStartConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type HyperParameterTuningJobWarmStartType added in v0.6.0 

type HyperParameterTuningJobWarmStartType string
const (
	HyperParameterTuningJobWarmStartTypeIdenticalDataAndAlgorithm HyperParameterTuningJobWarmStartType = "IdenticalDataAndAlgorithm"
	HyperParameterTuningJobWarmStartTypeTransferLearning          HyperParameterTuningJobWarmStartType = "TransferLearning"
)

Enum values for HyperParameterTuningJobWarmStartType

func (HyperParameterTuningJobWarmStartType) MarshalValue added in v0.6.0 

func (enum HyperParameterTuningJobWarmStartType) MarshalValue() (string, error)

func (HyperParameterTuningJobWarmStartType) MarshalValueBuf added in v0.6.0 

func (enum HyperParameterTuningJobWarmStartType) MarshalValueBuf(b []byte) ([]byte, error)

type InferenceSpecification added in v0.6.0 

type InferenceSpecification struct {

	// The Amazon ECR registry path of the Docker image that contains the inference
	// code.
	//
	// Containers is a required field
	Containers []ModelPackageContainerDefinition `min:"1" type:"list" required:"true"`

	// The supported MIME types for the input data.
	//
	// SupportedContentTypes is a required field
	SupportedContentTypes []string `type:"list" required:"true"`

	// A list of the instance types that are used to generate inferences in real-time.
	//
	// SupportedRealtimeInferenceInstanceTypes is a required field
	SupportedRealtimeInferenceInstanceTypes []ProductionVariantInstanceType `type:"list" required:"true"`

	// The supported MIME types for the output data.
	//
	// SupportedResponseMIMETypes is a required field
	SupportedResponseMIMETypes []string `type:"list" required:"true"`

	// A list of the instance types on which a transformation job can be run or
	// on which an endpoint can be deployed.
	//
	// SupportedTransformInstanceTypes is a required field
	SupportedTransformInstanceTypes []TransformInstanceType `min:"1" type:"list" required:"true"`
	// contains filtered or unexported fields
}

Defines how to perform inference generation after a training job is run.

func (InferenceSpecification) String added in v0.6.0 

func (s InferenceSpecification) String() string

String returns the string representation

func (*InferenceSpecification) Validate added in v0.6.0 

func (s *InferenceSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type InputConfig added in v0.6.0 

type InputConfig struct {

	// Specifies the name and shape of the expected data inputs for your trained
	// model with a JSON dictionary form. The data inputs are InputConfig$Framework
	// specific.
	//
	//    * TensorFlow: You must specify the name and shape (NHWC format) of the
	//    expected data inputs using a dictionary format for your trained model.
	//    The dictionary formats required for the console and CLI are different.
	//    Examples for one input: If using the console, {"input":[1,1024,1024,3]}
	//    If using the CLI, {\"input\":[1,1024,1024,3]} Examples for two inputs:
	//    If using the console, {"data1": [1,28,28,1], "data2":[1,28,28,1]} If using
	//    the CLI, {\"data1\": [1,28,28,1], \"data2\":[1,28,28,1]}
	//
	//    * KERAS: You must specify the name and shape (NCHW format) of expected
	//    data inputs using a dictionary format for your trained model. Note that
	//    while Keras model artifacts should be uploaded in NHWC (channel-last)
	//    format, DataInputConfig should be specified in NCHW (channel-first) format.
	//    The dictionary formats required for the console and CLI are different.
	//    Examples for one input: If using the console, {"input_1":[1,3,224,224]}
	//    If using the CLI, {\"input_1\":[1,3,224,224]} Examples for two inputs:
	//    If using the console, {"input_1": [1,3,224,224], "input_2":[1,3,224,224]}
	//    If using the CLI, {\"input_1\": [1,3,224,224], \"input_2\":[1,3,224,224]}
	//
	//    * MXNET/ONNX: You must specify the name and shape (NCHW format) of the
	//    expected data inputs in order using a dictionary format for your trained
	//    model. The dictionary formats required for the console and CLI are different.
	//    Examples for one input: If using the console, {"data":[1,3,1024,1024]}
	//    If using the CLI, {\"data\":[1,3,1024,1024]} Examples for two inputs:
	//    If using the console, {"var1": [1,1,28,28], "var2":[1,1,28,28]} If using
	//    the CLI, {\"var1\": [1,1,28,28], \"var2\":[1,1,28,28]}
	//
	//    * PyTorch: You can either specify the name and shape (NCHW format) of
	//    expected data inputs in order using a dictionary format for your trained
	//    model or you can specify the shape only using a list format. The dictionary
	//    formats required for the console and CLI are different. The list formats
	//    for the console and CLI are the same. Examples for one input in dictionary
	//    format: If using the console, {"input0":[1,3,224,224]} If using the CLI,
	//    {\"input0\":[1,3,224,224]} Example for one input in list format: [[1,3,224,224]]
	//    Examples for two inputs in dictionary format: If using the console, {"input0":[1,3,224,224],
	//    "input1":[1,3,224,224]} If using the CLI, {\"input0\":[1,3,224,224], \"input1\":[1,3,224,224]}
	//    Example for two inputs in list format: [[1,3,224,224], [1,3,224,224]]
	//
	//    * XGBOOST: input data name and shape are not needed.
	//
	// DataInputConfig is a required field
	DataInputConfig *string `min:"1" type:"string" required:"true"`

	// Identifies the framework in which the model was trained. For example: TENSORFLOW.
	//
	// Framework is a required field
	Framework Framework `type:"string" required:"true" enum:"true"`

	// The S3 path where the model artifacts, which result from model training,
	// are stored. This path must point to a single gzip compressed tar archive
	// (.tar.gz suffix).
	//
	// S3Uri is a required field
	S3Uri *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Contains information about the location of input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.

func (InputConfig) String added in v0.6.0 

func (s InputConfig) String() string

String returns the string representation

func (*InputConfig) Validate added in v0.6.0 

func (s *InputConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type InstanceType 

type InstanceType string
const (
	InstanceTypeMlT2Medium    InstanceType = "ml.t2.medium"
	InstanceTypeMlT2Large     InstanceType = "ml.t2.large"
	InstanceTypeMlT2Xlarge    InstanceType = "ml.t2.xlarge"
	InstanceTypeMlT22xlarge   InstanceType = "ml.t2.2xlarge"
	InstanceTypeMlT3Medium    InstanceType = "ml.t3.medium"
	InstanceTypeMlT3Large     InstanceType = "ml.t3.large"
	InstanceTypeMlT3Xlarge    InstanceType = "ml.t3.xlarge"
	InstanceTypeMlT32xlarge   InstanceType = "ml.t3.2xlarge"
	InstanceTypeMlM4Xlarge    InstanceType = "ml.m4.xlarge"
	InstanceTypeMlM42xlarge   InstanceType = "ml.m4.2xlarge"
	InstanceTypeMlM44xlarge   InstanceType = "ml.m4.4xlarge"
	InstanceTypeMlM410xlarge  InstanceType = "ml.m4.10xlarge"
	InstanceTypeMlM416xlarge  InstanceType = "ml.m4.16xlarge"
	InstanceTypeMlM5Xlarge    InstanceType = "ml.m5.xlarge"
	InstanceTypeMlM52xlarge   InstanceType = "ml.m5.2xlarge"
	InstanceTypeMlM54xlarge   InstanceType = "ml.m5.4xlarge"
	InstanceTypeMlM512xlarge  InstanceType = "ml.m5.12xlarge"
	InstanceTypeMlM524xlarge  InstanceType = "ml.m5.24xlarge"
	InstanceTypeMlC4Xlarge    InstanceType = "ml.c4.xlarge"
	InstanceTypeMlC42xlarge   InstanceType = "ml.c4.2xlarge"
	InstanceTypeMlC44xlarge   InstanceType = "ml.c4.4xlarge"
	InstanceTypeMlC48xlarge   InstanceType = "ml.c4.8xlarge"
	InstanceTypeMlC5Xlarge    InstanceType = "ml.c5.xlarge"
	InstanceTypeMlC52xlarge   InstanceType = "ml.c5.2xlarge"
	InstanceTypeMlC54xlarge   InstanceType = "ml.c5.4xlarge"
	InstanceTypeMlC59xlarge   InstanceType = "ml.c5.9xlarge"
	InstanceTypeMlC518xlarge  InstanceType = "ml.c5.18xlarge"
	InstanceTypeMlC5dXlarge   InstanceType = "ml.c5d.xlarge"
	InstanceTypeMlC5d2xlarge  InstanceType = "ml.c5d.2xlarge"
	InstanceTypeMlC5d4xlarge  InstanceType = "ml.c5d.4xlarge"
	InstanceTypeMlC5d9xlarge  InstanceType = "ml.c5d.9xlarge"
	InstanceTypeMlC5d18xlarge InstanceType = "ml.c5d.18xlarge"
	InstanceTypeMlP2Xlarge    InstanceType = "ml.p2.xlarge"
	InstanceTypeMlP28xlarge   InstanceType = "ml.p2.8xlarge"
	InstanceTypeMlP216xlarge  InstanceType = "ml.p2.16xlarge"
	InstanceTypeMlP32xlarge   InstanceType = "ml.p3.2xlarge"
	InstanceTypeMlP38xlarge   InstanceType = "ml.p3.8xlarge"
	InstanceTypeMlP316xlarge  InstanceType = "ml.p3.16xlarge"
)

Enum values for InstanceType

func (InstanceType) MarshalValue added in v0.3.0 

func (enum InstanceType) MarshalValue() (string, error)

func (InstanceType) MarshalValueBuf added in v0.3.0 

func (enum InstanceType) MarshalValueBuf(b []byte) ([]byte, error)

type IntegerParameterRange added in v0.5.0 

type IntegerParameterRange struct {

	// The maximum value of the hyperparameter to search.
	//
	// MaxValue is a required field
	MaxValue *string `type:"string" required:"true"`

	// The minimum value of the hyperparameter to search.
	//
	// MinValue is a required field
	MinValue *string `type:"string" required:"true"`

	// The name of the hyperparameter to search.
	//
	// Name is a required field
	Name *string `type:"string" required:"true"`

	// The scale that hyperparameter tuning uses to search the hyperparameter range.
	// For information about choosing a hyperparameter scale, see Hyperparameter
	// Scaling (https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-ranges.html#scaling-type).
	// One of the following values:
	//
	// Auto
	//
	// Amazon SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
	//
	// Linear
	//
	// Hyperparameter tuning searches the values in the hyperparameter range by
	// using a linear scale.
	//
	// Logarithmic
	//
	// Hyperparameter tuning searches the values in the hyperparameter range by
	// using a logarithmic scale.
	//
	// Logarithmic scaling works only for ranges that have only values greater than
	// 0.
	ScalingType HyperParameterScalingType `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

For a hyperparameter of the integer type, specifies the range that a hyperparameter tuning job searches.

func (IntegerParameterRange) String added in v0.5.0 

func (s IntegerParameterRange) String() string

String returns the string representation

func (*IntegerParameterRange) Validate added in v0.5.0 

func (s *IntegerParameterRange) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type IntegerParameterRangeSpecification added in v0.6.0 

type IntegerParameterRangeSpecification struct {

	// The maximum integer value allowed.
	//
	// MaxValue is a required field
	MaxValue *string `type:"string" required:"true"`

	// The minimum integer value allowed.
	//
	// MinValue is a required field
	MinValue *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Defines the possible values for an integer hyperparameter.

func (IntegerParameterRangeSpecification) String added in v0.6.0 

func (s IntegerParameterRangeSpecification) String() string

String returns the string representation

func (*IntegerParameterRangeSpecification) Validate added in v0.6.0 

func (s *IntegerParameterRangeSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type JoinSource added in v0.10.0 

type JoinSource string
const (
	JoinSourceInput JoinSource = "Input"
	JoinSourceNone  JoinSource = "None"
)

Enum values for JoinSource

func (JoinSource) MarshalValue added in v0.10.0 

func (enum JoinSource) MarshalValue() (string, error)

func (JoinSource) MarshalValueBuf added in v0.10.0 

func (enum JoinSource) MarshalValueBuf(b []byte) ([]byte, error)

type JupyterServerAppSettings added in v0.18.0 

type JupyterServerAppSettings struct {

	// The default instance type and the Amazon Resource Name (ARN) of the SageMaker
	// image created on the instance.
	DefaultResourceSpec *ResourceSpec `type:"structure"`
	// contains filtered or unexported fields
}

Jupyter server's app settings.

func (JupyterServerAppSettings) String added in v0.18.0 

func (s JupyterServerAppSettings) String() string

String returns the string representation

type KernelGatewayAppSettings added in v0.18.0 

type KernelGatewayAppSettings struct {

	// The default instance type and the Amazon Resource Name (ARN) of the SageMaker
	// image created on the instance.
	DefaultResourceSpec *ResourceSpec `type:"structure"`
	// contains filtered or unexported fields
}

The kernel gateway app settings.

func (KernelGatewayAppSettings) String added in v0.18.0 

func (s KernelGatewayAppSettings) String() string

String returns the string representation

type LabelCounters added in v0.6.0 

type LabelCounters struct {

	// The total number of objects that could not be labeled due to an error.
	FailedNonRetryableError *int64 `type:"integer"`

	// The total number of objects labeled by a human worker.
	HumanLabeled *int64 `type:"integer"`

	// The total number of objects labeled by automated data labeling.
	MachineLabeled *int64 `type:"integer"`

	// The total number of objects labeled.
	TotalLabeled *int64 `type:"integer"`

	// The total number of objects not yet labeled.
	Unlabeled *int64 `type:"integer"`
	// contains filtered or unexported fields
}

Provides a breakdown of the number of objects labeled.

func (LabelCounters) String added in v0.6.0 

func (s LabelCounters) String() string

String returns the string representation

type LabelCountersForWorkteam added in v0.6.0 

type LabelCountersForWorkteam struct {

	// The total number of data objects labeled by a human worker.
	HumanLabeled *int64 `type:"integer"`

	// The total number of data objects that need to be labeled by a human worker.
	PendingHuman *int64 `type:"integer"`

	// The total number of tasks in the labeling job.
	Total *int64 `type:"integer"`
	// contains filtered or unexported fields
}

Provides counts for human-labeled tasks in the labeling job.

func (LabelCountersForWorkteam) String added in v0.6.0 

func (s LabelCountersForWorkteam) String() string

String returns the string representation

type LabelingJobAlgorithmsConfig added in v0.6.0 

type LabelingJobAlgorithmsConfig struct {

	// At the end of an auto-label job Amazon SageMaker Ground Truth sends the Amazon
	// Resource Nam (ARN) of the final model used for auto-labeling. You can use
	// this model as the starting point for subsequent similar jobs by providing
	// the ARN of the model here.
	InitialActiveLearningModelArn *string `min:"20" type:"string"`

	// Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling.
	// You must select one of the following ARNs:
	//
	//    * Image classification arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification
	//
	//    * Text classification arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification
	//
	//    * Object detection arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection
	//
	//    * Semantic Segmentation arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation
	//
	// LabelingJobAlgorithmSpecificationArn is a required field
	LabelingJobAlgorithmSpecificationArn *string `type:"string" required:"true"`

	// Provides configuration information for a labeling job.
	LabelingJobResourceConfig *LabelingJobResourceConfig `type:"structure"`
	// contains filtered or unexported fields
}

Provides configuration information for auto-labeling of your data objects. A LabelingJobAlgorithmsConfig object must be supplied in order to use auto-labeling.

func (LabelingJobAlgorithmsConfig) String added in v0.6.0 

func (s LabelingJobAlgorithmsConfig) String() string

String returns the string representation

func (*LabelingJobAlgorithmsConfig) Validate added in v0.6.0 

func (s *LabelingJobAlgorithmsConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type LabelingJobDataAttributes added in v0.6.0 

type LabelingJobDataAttributes struct {

	// Declares that your content is free of personally identifiable information
	// or adult content. Amazon SageMaker may restrict the Amazon Mechanical Turk
	// workers that can view your task based on this information.
	ContentClassifiers []ContentClassifier `type:"list"`
	// contains filtered or unexported fields
}

Attributes of the data specified by the customer. Use these to describe the data to be labeled.

func (LabelingJobDataAttributes) String added in v0.6.0 

func (s LabelingJobDataAttributes) String() string

String returns the string representation

type LabelingJobDataSource added in v0.6.0 

type LabelingJobDataSource struct {

	// The Amazon S3 location of the input data objects.
	//
	// S3DataSource is a required field
	S3DataSource *LabelingJobS3DataSource `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

Provides information about the location of input data.

func (LabelingJobDataSource) String added in v0.6.0 

func (s LabelingJobDataSource) String() string

String returns the string representation

func (*LabelingJobDataSource) Validate added in v0.6.0 

func (s *LabelingJobDataSource) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type LabelingJobForWorkteamSummary added in v0.6.0 

type LabelingJobForWorkteamSummary struct {

	// The date and time that the labeling job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// A unique identifier for a labeling job. You can use this to refer to a specific
	// labeling job.
	//
	// JobReferenceCode is a required field
	JobReferenceCode *string `min:"1" type:"string" required:"true"`

	// Provides information about the progress of a labeling job.
	LabelCounters *LabelCountersForWorkteam `type:"structure"`

	// The name of the labeling job that the work team is assigned to.
	LabelingJobName *string `min:"1" type:"string"`

	// The configured number of workers per data object.
	NumberOfHumanWorkersPerDataObject *int64 `min:"1" type:"integer"`

	// WorkRequesterAccountId is a required field
	WorkRequesterAccountId *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Provides summary information for a work team.

func (LabelingJobForWorkteamSummary) String added in v0.6.0 

func (s LabelingJobForWorkteamSummary) String() string

String returns the string representation

type LabelingJobInputConfig added in v0.6.0 

type LabelingJobInputConfig struct {

	// Attributes of the data specified by the customer.
	DataAttributes *LabelingJobDataAttributes `type:"structure"`

	// The location of the input data.
	//
	// DataSource is a required field
	DataSource *LabelingJobDataSource `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

Input configuration information for a labeling job.

func (LabelingJobInputConfig) String added in v0.6.0 

func (s LabelingJobInputConfig) String() string

String returns the string representation

func (*LabelingJobInputConfig) Validate added in v0.6.0 

func (s *LabelingJobInputConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type LabelingJobOutput added in v0.6.0 

type LabelingJobOutput struct {

	// The Amazon Resource Name (ARN) for the most recent Amazon SageMaker model
	// trained as part of automated data labeling.
	FinalActiveLearningModelArn *string `min:"20" type:"string"`

	// The Amazon S3 bucket location of the manifest file for labeled data.
	//
	// OutputDatasetS3Uri is a required field
	OutputDatasetS3Uri *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Specifies the location of the output produced by the labeling job.

func (LabelingJobOutput) String added in v0.6.0 

func (s LabelingJobOutput) String() string

String returns the string representation

type LabelingJobOutputConfig added in v0.6.0 

type LabelingJobOutputConfig struct {

	// The AWS Key Management Service ID of the key used to encrypt the output data,
	// if any.
	//
	// If you use a KMS key ID or an alias of your master key, the Amazon SageMaker
	// execution role must include permissions to call kms:Encrypt. If you don't
	// provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon
	// S3 for your role's account. Amazon SageMaker uses server-side encryption
	// with KMS-managed keys for LabelingJobOutputConfig. If you use a bucket policy
	// with an s3:PutObject permission that only allows objects with server-side
	// encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms".
	// For more information, see KMS-Managed Encryption Keys (https://docs.aws.amazon.com/AmazonS3/latest/dev/UsingKMSEncryption.html)
	// in the Amazon Simple Storage Service Developer Guide.
	//
	// The KMS key policy must grant permission to the IAM role that you specify
	// in your CreateLabelingJob request. For more information, see Using Key Policies
	// in AWS KMS (http://docs.aws.amazon.com/kms/latest/developerguide/key-policies.html)
	// in the AWS Key Management Service Developer Guide.
	KmsKeyId *string `type:"string"`

	// The Amazon S3 location to write output data.
	//
	// S3OutputPath is a required field
	S3OutputPath *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Output configuration information for a labeling job.

func (LabelingJobOutputConfig) String added in v0.6.0 

func (s LabelingJobOutputConfig) String() string

String returns the string representation

func (*LabelingJobOutputConfig) Validate added in v0.6.0 

func (s *LabelingJobOutputConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type LabelingJobResourceConfig added in v0.6.0 

type LabelingJobResourceConfig struct {

	// The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to
	// encrypt data on the storage volume attached to the ML compute instance(s)
	// that run the training job. The VolumeKmsKeyId can be any of the following
	// formats:
	//
	//    * // KMS Key ID "1234abcd-12ab-34cd-56ef-1234567890ab"
	//
	//    * // Amazon Resource Name (ARN) of a KMS Key "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
	VolumeKmsKeyId *string `type:"string"`
	// contains filtered or unexported fields
}

Provides configuration information for labeling jobs.

func (LabelingJobResourceConfig) String added in v0.6.0 

func (s LabelingJobResourceConfig) String() string

String returns the string representation

type LabelingJobS3DataSource added in v0.6.0 

type LabelingJobS3DataSource struct {

	// The Amazon S3 location of the manifest file that describes the input data
	// objects.
	//
	// ManifestS3Uri is a required field
	ManifestS3Uri *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

The Amazon S3 location of the input data objects.

func (LabelingJobS3DataSource) String added in v0.6.0 

func (s LabelingJobS3DataSource) String() string

String returns the string representation

func (*LabelingJobS3DataSource) Validate added in v0.6.0 

func (s *LabelingJobS3DataSource) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type LabelingJobStatus added in v0.6.0 

type LabelingJobStatus string
const (
	LabelingJobStatusInProgress LabelingJobStatus = "InProgress"
	LabelingJobStatusCompleted  LabelingJobStatus = "Completed"
	LabelingJobStatusFailed     LabelingJobStatus = "Failed"
	LabelingJobStatusStopping   LabelingJobStatus = "Stopping"
	LabelingJobStatusStopped    LabelingJobStatus = "Stopped"
)

Enum values for LabelingJobStatus

func (LabelingJobStatus) MarshalValue added in v0.6.0 

func (enum LabelingJobStatus) MarshalValue() (string, error)

func (LabelingJobStatus) MarshalValueBuf added in v0.6.0 

func (enum LabelingJobStatus) MarshalValueBuf(b []byte) ([]byte, error)

type LabelingJobStoppingConditions added in v0.6.0 

type LabelingJobStoppingConditions struct {

	// The maximum number of objects that can be labeled by human workers.
	MaxHumanLabeledObjectCount *int64 `min:"1" type:"integer"`

	// The maximum number of input data objects that should be labeled.
	MaxPercentageOfInputDatasetLabeled *int64 `min:"1" type:"integer"`
	// contains filtered or unexported fields
}

A set of conditions for stopping a labeling job. If any of the conditions are met, the job is automatically stopped. You can use these conditions to control the cost of data labeling.

Labeling jobs fail after 30 days with an appropriate client error message.

func (LabelingJobStoppingConditions) String added in v0.6.0 

func (s LabelingJobStoppingConditions) String() string

String returns the string representation

func (*LabelingJobStoppingConditions) Validate added in v0.6.0 

func (s *LabelingJobStoppingConditions) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type LabelingJobSummary added in v0.6.0 

type LabelingJobSummary struct {

	// The Amazon Resource Name (ARN) of the Lambda function used to consolidate
	// the annotations from individual workers into a label for a data object. For
	// more information, see Annotation Consolidation (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-annotation-consolidation.html).
	AnnotationConsolidationLambdaArn *string `type:"string"`

	// The date and time that the job was created (timestamp).
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// If the LabelingJobStatus field is Failed, this field contains a description
	// of the error.
	FailureReason *string `type:"string"`

	// Input configuration for the labeling job.
	InputConfig *LabelingJobInputConfig `type:"structure"`

	// Counts showing the progress of the labeling job.
	//
	// LabelCounters is a required field
	LabelCounters *LabelCounters `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) assigned to the labeling job when it was created.
	//
	// LabelingJobArn is a required field
	LabelingJobArn *string `type:"string" required:"true"`

	// The name of the labeling job.
	//
	// LabelingJobName is a required field
	LabelingJobName *string `min:"1" type:"string" required:"true"`

	// The location of the output produced by the labeling job.
	LabelingJobOutput *LabelingJobOutput `type:"structure"`

	// The current status of the labeling job.
	//
	// LabelingJobStatus is a required field
	LabelingJobStatus LabelingJobStatus `type:"string" required:"true" enum:"true"`

	// The date and time that the job was last modified (timestamp).
	//
	// LastModifiedTime is a required field
	LastModifiedTime *time.Time `type:"timestamp" required:"true"`

	// The Amazon Resource Name (ARN) of a Lambda function. The function is run
	// before each data object is sent to a worker.
	//
	// PreHumanTaskLambdaArn is a required field
	PreHumanTaskLambdaArn *string `type:"string" required:"true"`

	// The Amazon Resource Name (ARN) of the work team assigned to the job.
	//
	// WorkteamArn is a required field
	WorkteamArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Provides summary information about a labeling job.

func (LabelingJobSummary) String added in v0.6.0 

func (s LabelingJobSummary) String() string

String returns the string representation

type ListAlgorithmsInput added in v0.6.0 

type ListAlgorithmsInput struct {

	// A filter that returns only algorithms created after the specified time (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only algorithms created before the specified time (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of algorithms to return in the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the algorithm name. This filter returns only algorithms whose
	// name contains the specified string.
	NameContains *string `type:"string"`

	// If the response to a previous ListAlgorithms request was truncated, the response
	// includes a NextToken. To retrieve the next set of algorithms, use the token
	// in the next request.
	NextToken *string `type:"string"`

	// The parameter by which to sort the results. The default is CreationTime.
	SortBy AlgorithmSortBy `type:"string" enum:"true"`

	// The sort order for the results. The default is Ascending.
	SortOrder SortOrder `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListAlgorithmsInput) String added in v0.6.0 

func (s ListAlgorithmsInput) String() string

String returns the string representation

func (*ListAlgorithmsInput) Validate added in v0.6.0 

func (s *ListAlgorithmsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListAlgorithmsOutput added in v0.6.0 

type ListAlgorithmsOutput struct {

	// >An array of AlgorithmSummary objects, each of which lists an algorithm.
	//
	// AlgorithmSummaryList is a required field
	AlgorithmSummaryList []AlgorithmSummary `type:"list" required:"true"`

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of algorithms, use it in the subsequent request.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListAlgorithmsOutput) String added in v0.6.0 

func (s ListAlgorithmsOutput) String() string

String returns the string representation

type ListAlgorithmsPaginator added in v0.18.0 

type ListAlgorithmsPaginator struct {
	aws.Pager
}

ListAlgorithmsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListAlgorithmsPaginator added in v0.18.0 

func NewListAlgorithmsPaginator(req ListAlgorithmsRequest) ListAlgorithmsPaginator

NewListAlgorithmsRequestPaginator returns a paginator for ListAlgorithms. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListAlgorithmsRequest(input)
p := sagemaker.NewListAlgorithmsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListAlgorithmsPaginator) CurrentPage added in v0.18.0 

func (p *ListAlgorithmsPaginator) CurrentPage() *ListAlgorithmsOutput

type ListAlgorithmsRequest added in v0.6.0 

type ListAlgorithmsRequest struct {
	*aws.Request
	Input *ListAlgorithmsInput
	Copy  func(*ListAlgorithmsInput) ListAlgorithmsRequest
}

ListAlgorithmsRequest is the request type for the ListAlgorithms API operation.

func (ListAlgorithmsRequest) Send added in v0.6.0 

func (r ListAlgorithmsRequest) Send(ctx context.Context) (*ListAlgorithmsResponse, error)

Send marshals and sends the ListAlgorithms API request.

type ListAlgorithmsResponse added in v0.9.0 

type ListAlgorithmsResponse struct {
	*ListAlgorithmsOutput
	// contains filtered or unexported fields
}

ListAlgorithmsResponse is the response type for the ListAlgorithms API operation.

func (*ListAlgorithmsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListAlgorithmsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListAlgorithms request.

type ListAppsInput added in v0.18.0 

type ListAppsInput struct {

	// A parameter to search for the domain ID.
	DomainIdEquals *string `type:"string"`

	// Returns a list up to a specified limit.
	MaxResults *int64 `min:"1" type:"integer"`

	// If the previous response was truncated, you will receive this token. Use
	// it in your next request to receive the next set of results.
	NextToken *string `type:"string"`

	// The parameter by which to sort the results. The default is CreationTime.
	SortBy AppSortKey `type:"string" enum:"true"`

	// The sort order for the results. The default is Ascending.
	SortOrder SortOrder `type:"string" enum:"true"`

	// A parameter to search by user profile name.
	UserProfileNameEquals *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListAppsInput) String added in v0.18.0 

func (s ListAppsInput) String() string

String returns the string representation

func (*ListAppsInput) Validate added in v0.18.0 

func (s *ListAppsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListAppsOutput added in v0.18.0 

type ListAppsOutput struct {

	// The list of apps.
	Apps []AppDetails `type:"list"`

	// If the previous response was truncated, you will receive this token. Use
	// it in your next request to receive the next set of results.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListAppsOutput) String added in v0.18.0 

func (s ListAppsOutput) String() string

String returns the string representation

type ListAppsPaginator added in v0.18.0 

type ListAppsPaginator struct {
	aws.Pager
}

ListAppsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListAppsPaginator added in v0.18.0 

func NewListAppsPaginator(req ListAppsRequest) ListAppsPaginator

NewListAppsRequestPaginator returns a paginator for ListApps. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListAppsRequest(input)
p := sagemaker.NewListAppsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListAppsPaginator) CurrentPage added in v0.18.0 

func (p *ListAppsPaginator) CurrentPage() *ListAppsOutput

type ListAppsRequest added in v0.18.0 

type ListAppsRequest struct {
	*aws.Request
	Input *ListAppsInput
	Copy  func(*ListAppsInput) ListAppsRequest
}

ListAppsRequest is the request type for the ListApps API operation.

func (ListAppsRequest) Send added in v0.18.0 

func (r ListAppsRequest) Send(ctx context.Context) (*ListAppsResponse, error)

Send marshals and sends the ListApps API request.

type ListAppsResponse added in v0.18.0 

type ListAppsResponse struct {
	*ListAppsOutput
	// contains filtered or unexported fields
}

ListAppsResponse is the response type for the ListApps API operation.

func (*ListAppsResponse) SDKResponseMetdata added in v0.18.0 

func (r *ListAppsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListApps request.

type ListAutoMLJobsInput added in v0.18.0 

type ListAutoMLJobsInput struct {

	// Request a list of jobs, using a filter for time.
	CreationTimeAfter *time.Time `type:"timestamp"`

	// Request a list of jobs, using a filter for time.
	CreationTimeBefore *time.Time `type:"timestamp"`

	// Request a list of jobs, using a filter for time.
	LastModifiedTimeAfter *time.Time `type:"timestamp"`

	// Request a list of jobs, using a filter for time.
	LastModifiedTimeBefore *time.Time `type:"timestamp"`

	// Request a list of jobs up to a specified limit.
	MaxResults *int64 `min:"1" type:"integer"`

	// Request a list of jobs, using a search filter for name.
	NameContains *string `type:"string"`

	// If the previous response was truncated, you will receive this token. Use
	// it in your next request to receive the next set of results.
	NextToken *string `type:"string"`

	// The parameter by which to sort the results. The default is AutoMLJobName.
	SortBy AutoMLSortBy `type:"string" enum:"true"`

	// The sort order for the results. The default is Descending.
	SortOrder AutoMLSortOrder `type:"string" enum:"true"`

	// Request a list of jobs, using a filter for status.
	StatusEquals AutoMLJobStatus `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListAutoMLJobsInput) String added in v0.18.0 

func (s ListAutoMLJobsInput) String() string

String returns the string representation

func (*ListAutoMLJobsInput) Validate added in v0.18.0 

func (s *ListAutoMLJobsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListAutoMLJobsOutput added in v0.18.0 

type ListAutoMLJobsOutput struct {

	// Returns a summary list of jobs.
	//
	// AutoMLJobSummaries is a required field
	AutoMLJobSummaries []AutoMLJobSummary `type:"list" required:"true"`

	// If the previous response was truncated, you will receive this token. Use
	// it in your next request to receive the next set of results.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListAutoMLJobsOutput) String added in v0.18.0 

func (s ListAutoMLJobsOutput) String() string

String returns the string representation

type ListAutoMLJobsPaginator added in v0.18.0 

type ListAutoMLJobsPaginator struct {
	aws.Pager
}

ListAutoMLJobsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListAutoMLJobsPaginator added in v0.18.0 

func NewListAutoMLJobsPaginator(req ListAutoMLJobsRequest) ListAutoMLJobsPaginator

NewListAutoMLJobsRequestPaginator returns a paginator for ListAutoMLJobs. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListAutoMLJobsRequest(input)
p := sagemaker.NewListAutoMLJobsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListAutoMLJobsPaginator) CurrentPage added in v0.18.0 

func (p *ListAutoMLJobsPaginator) CurrentPage() *ListAutoMLJobsOutput

type ListAutoMLJobsRequest added in v0.18.0 

type ListAutoMLJobsRequest struct {
	*aws.Request
	Input *ListAutoMLJobsInput
	Copy  func(*ListAutoMLJobsInput) ListAutoMLJobsRequest
}

ListAutoMLJobsRequest is the request type for the ListAutoMLJobs API operation.

func (ListAutoMLJobsRequest) Send added in v0.18.0 

func (r ListAutoMLJobsRequest) Send(ctx context.Context) (*ListAutoMLJobsResponse, error)

Send marshals and sends the ListAutoMLJobs API request.

type ListAutoMLJobsResponse added in v0.18.0 

type ListAutoMLJobsResponse struct {
	*ListAutoMLJobsOutput
	// contains filtered or unexported fields
}

ListAutoMLJobsResponse is the response type for the ListAutoMLJobs API operation.

func (*ListAutoMLJobsResponse) SDKResponseMetdata added in v0.18.0 

func (r *ListAutoMLJobsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListAutoMLJobs request.

type ListCandidatesForAutoMLJobInput added in v0.18.0 

type ListCandidatesForAutoMLJobInput struct {

	// List the Candidates created for the job by providing the job's name.
	//
	// AutoMLJobName is a required field
	AutoMLJobName *string `min:"1" type:"string" required:"true"`

	// List the Candidates for the job and filter by candidate name.
	CandidateNameEquals *string `min:"1" type:"string"`

	// List the job's Candidates up to a specified limit.
	MaxResults *int64 `min:"1" type:"integer"`

	// If the previous response was truncated, you will receive this token. Use
	// it in your next request to receive the next set of results.
	NextToken *string `type:"string"`

	// The parameter by which to sort the results. The default is Descending.
	SortBy CandidateSortBy `type:"string" enum:"true"`

	// The sort order for the results. The default is Ascending.
	SortOrder AutoMLSortOrder `type:"string" enum:"true"`

	// List the Candidates for the job and filter by status.
	StatusEquals CandidateStatus `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListCandidatesForAutoMLJobInput) String added in v0.18.0 

func (s ListCandidatesForAutoMLJobInput) String() string

String returns the string representation

func (*ListCandidatesForAutoMLJobInput) Validate added in v0.18.0 

func (s *ListCandidatesForAutoMLJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListCandidatesForAutoMLJobOutput added in v0.18.0 

type ListCandidatesForAutoMLJobOutput struct {

	// Summaries about the Candidates.
	//
	// Candidates is a required field
	Candidates []AutoMLCandidate `type:"list" required:"true"`

	// If the previous response was truncated, you will receive this token. Use
	// it in your next request to receive the next set of results.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListCandidatesForAutoMLJobOutput) String added in v0.18.0 

func (s ListCandidatesForAutoMLJobOutput) String() string

String returns the string representation

type ListCandidatesForAutoMLJobPaginator added in v0.18.0 

type ListCandidatesForAutoMLJobPaginator struct {
	aws.Pager
}

ListCandidatesForAutoMLJobPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListCandidatesForAutoMLJobPaginator added in v0.18.0 

func NewListCandidatesForAutoMLJobPaginator(req ListCandidatesForAutoMLJobRequest) ListCandidatesForAutoMLJobPaginator

NewListCandidatesForAutoMLJobRequestPaginator returns a paginator for ListCandidatesForAutoMLJob. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListCandidatesForAutoMLJobRequest(input)
p := sagemaker.NewListCandidatesForAutoMLJobRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListCandidatesForAutoMLJobPaginator) CurrentPage added in v0.18.0 

func (p *ListCandidatesForAutoMLJobPaginator) CurrentPage() *ListCandidatesForAutoMLJobOutput

type ListCandidatesForAutoMLJobRequest added in v0.18.0 

type ListCandidatesForAutoMLJobRequest struct {
	*aws.Request
	Input *ListCandidatesForAutoMLJobInput
	Copy  func(*ListCandidatesForAutoMLJobInput) ListCandidatesForAutoMLJobRequest
}

ListCandidatesForAutoMLJobRequest is the request type for the ListCandidatesForAutoMLJob API operation.

func (ListCandidatesForAutoMLJobRequest) Send added in v0.18.0 

func (r ListCandidatesForAutoMLJobRequest) Send(ctx context.Context) (*ListCandidatesForAutoMLJobResponse, error)

Send marshals and sends the ListCandidatesForAutoMLJob API request.

type ListCandidatesForAutoMLJobResponse added in v0.18.0 

type ListCandidatesForAutoMLJobResponse struct {
	*ListCandidatesForAutoMLJobOutput
	// contains filtered or unexported fields
}

ListCandidatesForAutoMLJobResponse is the response type for the ListCandidatesForAutoMLJob API operation.

func (*ListCandidatesForAutoMLJobResponse) SDKResponseMetdata added in v0.18.0 

func (r *ListCandidatesForAutoMLJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListCandidatesForAutoMLJob request.

type ListCodeRepositoriesInput added in v0.6.0 

type ListCodeRepositoriesInput struct {

	// A filter that returns only Git repositories that were created after the specified
	// time.
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only Git repositories that were created before the
	// specified time.
	CreationTimeBefore *time.Time `type:"timestamp"`

	// A filter that returns only Git repositories that were last modified after
	// the specified time.
	LastModifiedTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only Git repositories that were last modified before
	// the specified time.
	LastModifiedTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of Git repositories to return in the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the Git repositories name. This filter returns only repositories
	// whose name contains the specified string.
	NameContains *string `type:"string"`

	// If the result of a ListCodeRepositoriesOutput request was truncated, the
	// response includes a NextToken. To get the next set of Git repositories, use
	// the token in the next request.
	NextToken *string `type:"string"`

	// The field to sort results by. The default is Name.
	SortBy CodeRepositorySortBy `type:"string" enum:"true"`

	// The sort order for results. The default is Ascending.
	SortOrder CodeRepositorySortOrder `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListCodeRepositoriesInput) String added in v0.6.0 

func (s ListCodeRepositoriesInput) String() string

String returns the string representation

func (*ListCodeRepositoriesInput) Validate added in v0.6.0 

func (s *ListCodeRepositoriesInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListCodeRepositoriesOutput added in v0.6.0 

type ListCodeRepositoriesOutput struct {

	// Gets a list of summaries of the Git repositories. Each summary specifies
	// the following values for the repository:
	//
	//    * Name
	//
	//    * Amazon Resource Name (ARN)
	//
	//    * Creation time
	//
	//    * Last modified time
	//
	//    * Configuration information, including the URL location of the repository
	//    and the ARN of the AWS Secrets Manager secret that contains the credentials
	//    used to access the repository.
	//
	// CodeRepositorySummaryList is a required field
	CodeRepositorySummaryList []CodeRepositorySummary `type:"list" required:"true"`

	// If the result of a ListCodeRepositoriesOutput request was truncated, the
	// response includes a NextToken. To get the next set of Git repositories, use
	// the token in the next request.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListCodeRepositoriesOutput) String added in v0.6.0 

func (s ListCodeRepositoriesOutput) String() string

String returns the string representation

type ListCodeRepositoriesPaginator added in v0.18.0 

type ListCodeRepositoriesPaginator struct {
	aws.Pager
}

ListCodeRepositoriesPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListCodeRepositoriesPaginator added in v0.18.0 

func NewListCodeRepositoriesPaginator(req ListCodeRepositoriesRequest) ListCodeRepositoriesPaginator

NewListCodeRepositoriesRequestPaginator returns a paginator for ListCodeRepositories. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListCodeRepositoriesRequest(input)
p := sagemaker.NewListCodeRepositoriesRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListCodeRepositoriesPaginator) CurrentPage added in v0.18.0 

func (p *ListCodeRepositoriesPaginator) CurrentPage() *ListCodeRepositoriesOutput

type ListCodeRepositoriesRequest added in v0.6.0 

type ListCodeRepositoriesRequest struct {
	*aws.Request
	Input *ListCodeRepositoriesInput
	Copy  func(*ListCodeRepositoriesInput) ListCodeRepositoriesRequest
}

ListCodeRepositoriesRequest is the request type for the ListCodeRepositories API operation.

func (ListCodeRepositoriesRequest) Send added in v0.6.0 

func (r ListCodeRepositoriesRequest) Send(ctx context.Context) (*ListCodeRepositoriesResponse, error)

Send marshals and sends the ListCodeRepositories API request.

type ListCodeRepositoriesResponse added in v0.9.0 

type ListCodeRepositoriesResponse struct {
	*ListCodeRepositoriesOutput
	// contains filtered or unexported fields
}

ListCodeRepositoriesResponse is the response type for the ListCodeRepositories API operation.

func (*ListCodeRepositoriesResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListCodeRepositoriesResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListCodeRepositories request.

type ListCompilationJobsInput added in v0.6.0 

type ListCompilationJobsInput struct {

	// A filter that returns the model compilation jobs that were created after
	// a specified time.
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns the model compilation jobs that were created before
	// a specified time.
	CreationTimeBefore *time.Time `type:"timestamp"`

	// A filter that returns the model compilation jobs that were modified after
	// a specified time.
	LastModifiedTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns the model compilation jobs that were modified before
	// a specified time.
	LastModifiedTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of model compilation jobs to return in the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A filter that returns the model compilation jobs whose name contains a specified
	// string.
	NameContains *string `type:"string"`

	// If the result of the previous ListCompilationJobs request was truncated,
	// the response includes a NextToken. To retrieve the next set of model compilation
	// jobs, use the token in the next request.
	NextToken *string `type:"string"`

	// The field by which to sort results. The default is CreationTime.
	SortBy ListCompilationJobsSortBy `type:"string" enum:"true"`

	// The sort order for results. The default is Ascending.
	SortOrder SortOrder `type:"string" enum:"true"`

	// A filter that retrieves model compilation jobs with a specific DescribeCompilationJobResponse$CompilationJobStatus
	// status.
	StatusEquals CompilationJobStatus `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListCompilationJobsInput) String added in v0.6.0 

func (s ListCompilationJobsInput) String() string

String returns the string representation

func (*ListCompilationJobsInput) Validate added in v0.6.0 

func (s *ListCompilationJobsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListCompilationJobsOutput added in v0.6.0 

type ListCompilationJobsOutput struct {

	// An array of CompilationJobSummary objects, each describing a model compilation
	// job.
	//
	// CompilationJobSummaries is a required field
	CompilationJobSummaries []CompilationJobSummary `type:"list" required:"true"`

	// If the response is truncated, Amazon SageMaker returns this NextToken. To
	// retrieve the next set of model compilation jobs, use this token in the next
	// request.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListCompilationJobsOutput) String added in v0.6.0 

func (s ListCompilationJobsOutput) String() string

String returns the string representation

type ListCompilationJobsPaginator added in v0.9.0 

type ListCompilationJobsPaginator struct {
	aws.Pager
}

ListCompilationJobsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListCompilationJobsPaginator added in v0.9.0 

func NewListCompilationJobsPaginator(req ListCompilationJobsRequest) ListCompilationJobsPaginator

NewListCompilationJobsRequestPaginator returns a paginator for ListCompilationJobs. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListCompilationJobsRequest(input)
p := sagemaker.NewListCompilationJobsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListCompilationJobsPaginator) CurrentPage added in v0.9.0 

func (p *ListCompilationJobsPaginator) CurrentPage() *ListCompilationJobsOutput

type ListCompilationJobsRequest added in v0.6.0 

type ListCompilationJobsRequest struct {
	*aws.Request
	Input *ListCompilationJobsInput
	Copy  func(*ListCompilationJobsInput) ListCompilationJobsRequest
}

ListCompilationJobsRequest is the request type for the ListCompilationJobs API operation.

func (ListCompilationJobsRequest) Send added in v0.6.0 

func (r ListCompilationJobsRequest) Send(ctx context.Context) (*ListCompilationJobsResponse, error)

Send marshals and sends the ListCompilationJobs API request.

type ListCompilationJobsResponse added in v0.9.0 

type ListCompilationJobsResponse struct {
	*ListCompilationJobsOutput
	// contains filtered or unexported fields
}

ListCompilationJobsResponse is the response type for the ListCompilationJobs API operation.

func (*ListCompilationJobsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListCompilationJobsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListCompilationJobs request.

type ListCompilationJobsSortBy added in v0.7.0 

type ListCompilationJobsSortBy string
const (
	ListCompilationJobsSortByName         ListCompilationJobsSortBy = "Name"
	ListCompilationJobsSortByCreationTime ListCompilationJobsSortBy = "CreationTime"
	ListCompilationJobsSortByStatus       ListCompilationJobsSortBy = "Status"
)

Enum values for ListCompilationJobsSortBy

func (ListCompilationJobsSortBy) MarshalValue added in v0.7.0 

func (enum ListCompilationJobsSortBy) MarshalValue() (string, error)

func (ListCompilationJobsSortBy) MarshalValueBuf added in v0.7.0 

func (enum ListCompilationJobsSortBy) MarshalValueBuf(b []byte) ([]byte, error)

type ListDomainsInput added in v0.18.0 

type ListDomainsInput struct {

	// Returns a list up to a specified limit.
	MaxResults *int64 `min:"1" type:"integer"`

	// If the previous response was truncated, you will receive this token. Use
	// it in your next request to receive the next set of results.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListDomainsInput) String added in v0.18.0 

func (s ListDomainsInput) String() string

String returns the string representation

func (*ListDomainsInput) Validate added in v0.18.0 

func (s *ListDomainsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListDomainsOutput added in v0.18.0 

type ListDomainsOutput struct {

	// The list of domains.
	Domains []DomainDetails `type:"list"`

	// If the previous response was truncated, you will receive this token. Use
	// it in your next request to receive the next set of results.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListDomainsOutput) String added in v0.18.0 

func (s ListDomainsOutput) String() string

String returns the string representation

type ListDomainsPaginator added in v0.18.0 

type ListDomainsPaginator struct {
	aws.Pager
}

ListDomainsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListDomainsPaginator added in v0.18.0 

func NewListDomainsPaginator(req ListDomainsRequest) ListDomainsPaginator

NewListDomainsRequestPaginator returns a paginator for ListDomains. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListDomainsRequest(input)
p := sagemaker.NewListDomainsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListDomainsPaginator) CurrentPage added in v0.18.0 

func (p *ListDomainsPaginator) CurrentPage() *ListDomainsOutput

type ListDomainsRequest added in v0.18.0 

type ListDomainsRequest struct {
	*aws.Request
	Input *ListDomainsInput
	Copy  func(*ListDomainsInput) ListDomainsRequest
}

ListDomainsRequest is the request type for the ListDomains API operation.

func (ListDomainsRequest) Send added in v0.18.0 

func (r ListDomainsRequest) Send(ctx context.Context) (*ListDomainsResponse, error)

Send marshals and sends the ListDomains API request.

type ListDomainsResponse added in v0.18.0 

type ListDomainsResponse struct {
	*ListDomainsOutput
	// contains filtered or unexported fields
}

ListDomainsResponse is the response type for the ListDomains API operation.

func (*ListDomainsResponse) SDKResponseMetdata added in v0.18.0 

func (r *ListDomainsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListDomains request.

type ListEndpointConfigsInput 

type ListEndpointConfigsInput struct {

	// A filter that returns only endpoint configurations with a creation time greater
	// than or equal to the specified time (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only endpoint configurations created before the specified
	// time (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of training jobs to return in the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the endpoint configuration name. This filter returns only endpoint
	// configurations whose name contains the specified string.
	NameContains *string `type:"string"`

	// If the result of the previous ListEndpointConfig request was truncated, the
	// response includes a NextToken. To retrieve the next set of endpoint configurations,
	// use the token in the next request.
	NextToken *string `type:"string"`

	// The field to sort results by. The default is CreationTime.
	SortBy EndpointConfigSortKey `type:"string" enum:"true"`

	// The sort order for results. The default is Descending.
	SortOrder OrderKey `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListEndpointConfigsInput) String 

func (s ListEndpointConfigsInput) String() string

String returns the string representation

func (*ListEndpointConfigsInput) Validate 

func (s *ListEndpointConfigsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListEndpointConfigsOutput 

type ListEndpointConfigsOutput struct {

	// An array of endpoint configurations.
	//
	// EndpointConfigs is a required field
	EndpointConfigs []EndpointConfigSummary `type:"list" required:"true"`

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of endpoint configurations, use it in the subsequent request
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListEndpointConfigsOutput) String 

func (s ListEndpointConfigsOutput) String() string

String returns the string representation

type ListEndpointConfigsPaginator added in v0.9.0 

type ListEndpointConfigsPaginator struct {
	aws.Pager
}

ListEndpointConfigsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListEndpointConfigsPaginator added in v0.9.0 

func NewListEndpointConfigsPaginator(req ListEndpointConfigsRequest) ListEndpointConfigsPaginator

NewListEndpointConfigsRequestPaginator returns a paginator for ListEndpointConfigs. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListEndpointConfigsRequest(input)
p := sagemaker.NewListEndpointConfigsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListEndpointConfigsPaginator) CurrentPage added in v0.9.0 

func (p *ListEndpointConfigsPaginator) CurrentPage() *ListEndpointConfigsOutput

type ListEndpointConfigsRequest 

type ListEndpointConfigsRequest struct {
	*aws.Request
	Input *ListEndpointConfigsInput
	Copy  func(*ListEndpointConfigsInput) ListEndpointConfigsRequest
}

ListEndpointConfigsRequest is the request type for the ListEndpointConfigs API operation.

func (ListEndpointConfigsRequest) Send 

func (r ListEndpointConfigsRequest) Send(ctx context.Context) (*ListEndpointConfigsResponse, error)

Send marshals and sends the ListEndpointConfigs API request.

type ListEndpointConfigsResponse added in v0.9.0 

type ListEndpointConfigsResponse struct {
	*ListEndpointConfigsOutput
	// contains filtered or unexported fields
}

ListEndpointConfigsResponse is the response type for the ListEndpointConfigs API operation.

func (*ListEndpointConfigsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListEndpointConfigsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListEndpointConfigs request.

type ListEndpointsInput 

type ListEndpointsInput struct {

	// A filter that returns only endpoints with a creation time greater than or
	// equal to the specified time (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only endpoints that were created before the specified
	// time (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp"`

	// A filter that returns only endpoints that were modified after the specified
	// timestamp.
	LastModifiedTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only endpoints that were modified before the specified
	// timestamp.
	LastModifiedTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of endpoints to return in the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in endpoint names. This filter returns only endpoints whose name
	// contains the specified string.
	NameContains *string `type:"string"`

	// If the result of a ListEndpoints request was truncated, the response includes
	// a NextToken. To retrieve the next set of endpoints, use the token in the
	// next request.
	NextToken *string `type:"string"`

	// Sorts the list of results. The default is CreationTime.
	SortBy EndpointSortKey `type:"string" enum:"true"`

	// The sort order for results. The default is Descending.
	SortOrder OrderKey `type:"string" enum:"true"`

	// A filter that returns only endpoints with the specified status.
	StatusEquals EndpointStatus `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListEndpointsInput) String 

func (s ListEndpointsInput) String() string

String returns the string representation

func (*ListEndpointsInput) Validate 

func (s *ListEndpointsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListEndpointsOutput 

type ListEndpointsOutput struct {

	// An array or endpoint objects.
	//
	// Endpoints is a required field
	Endpoints []EndpointSummary `type:"list" required:"true"`

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of training jobs, use it in the subsequent request.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListEndpointsOutput) String 

func (s ListEndpointsOutput) String() string

String returns the string representation

type ListEndpointsPaginator added in v0.9.0 

type ListEndpointsPaginator struct {
	aws.Pager
}

ListEndpointsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListEndpointsPaginator added in v0.9.0 

func NewListEndpointsPaginator(req ListEndpointsRequest) ListEndpointsPaginator

NewListEndpointsRequestPaginator returns a paginator for ListEndpoints. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListEndpointsRequest(input)
p := sagemaker.NewListEndpointsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListEndpointsPaginator) CurrentPage added in v0.9.0 

func (p *ListEndpointsPaginator) CurrentPage() *ListEndpointsOutput

type ListEndpointsRequest 

type ListEndpointsRequest struct {
	*aws.Request
	Input *ListEndpointsInput
	Copy  func(*ListEndpointsInput) ListEndpointsRequest
}

ListEndpointsRequest is the request type for the ListEndpoints API operation.

func (ListEndpointsRequest) Send 

func (r ListEndpointsRequest) Send(ctx context.Context) (*ListEndpointsResponse, error)

Send marshals and sends the ListEndpoints API request.

type ListEndpointsResponse added in v0.9.0 

type ListEndpointsResponse struct {
	*ListEndpointsOutput
	// contains filtered or unexported fields
}

ListEndpointsResponse is the response type for the ListEndpoints API operation.

func (*ListEndpointsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListEndpointsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListEndpoints request.

type ListExperimentsInput added in v0.18.0 

type ListExperimentsInput struct {

	// A filter that returns only experiments created after the specified time.
	CreatedAfter *time.Time `type:"timestamp"`

	// A filter that returns only experiments created before the specified time.
	CreatedBefore *time.Time `type:"timestamp"`

	// The maximum number of experiments to return in the response. The default
	// value is 10.
	MaxResults *int64 `min:"1" type:"integer"`

	// If the previous call to ListExperiments didn't return the full set of experiments,
	// the call returns a token for getting the next set of experiments.
	NextToken *string `type:"string"`

	// The property used to sort results. The default value is CreationTime.
	SortBy SortExperimentsBy `type:"string" enum:"true"`

	// The sort order. The default value is Descending.
	SortOrder SortOrder `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListExperimentsInput) String added in v0.18.0 

func (s ListExperimentsInput) String() string

String returns the string representation

func (*ListExperimentsInput) Validate added in v0.18.0 

func (s *ListExperimentsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListExperimentsOutput added in v0.18.0 

type ListExperimentsOutput struct {

	// A list of the summaries of your experiments.
	ExperimentSummaries []ExperimentSummary `type:"list"`

	// A token for getting the next set of experiments, if there are any.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListExperimentsOutput) String added in v0.18.0 

func (s ListExperimentsOutput) String() string

String returns the string representation

type ListExperimentsPaginator added in v0.18.0 

type ListExperimentsPaginator struct {
	aws.Pager
}

ListExperimentsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListExperimentsPaginator added in v0.18.0 

func NewListExperimentsPaginator(req ListExperimentsRequest) ListExperimentsPaginator

NewListExperimentsRequestPaginator returns a paginator for ListExperiments. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListExperimentsRequest(input)
p := sagemaker.NewListExperimentsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListExperimentsPaginator) CurrentPage added in v0.18.0 

func (p *ListExperimentsPaginator) CurrentPage() *ListExperimentsOutput

type ListExperimentsRequest added in v0.18.0 

type ListExperimentsRequest struct {
	*aws.Request
	Input *ListExperimentsInput
	Copy  func(*ListExperimentsInput) ListExperimentsRequest
}

ListExperimentsRequest is the request type for the ListExperiments API operation.

func (ListExperimentsRequest) Send added in v0.18.0 

func (r ListExperimentsRequest) Send(ctx context.Context) (*ListExperimentsResponse, error)

Send marshals and sends the ListExperiments API request.

type ListExperimentsResponse added in v0.18.0 

type ListExperimentsResponse struct {
	*ListExperimentsOutput
	// contains filtered or unexported fields
}

ListExperimentsResponse is the response type for the ListExperiments API operation.

func (*ListExperimentsResponse) SDKResponseMetdata added in v0.18.0 

func (r *ListExperimentsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListExperiments request.

type ListFlowDefinitionsInput added in v0.18.0 

type ListFlowDefinitionsInput struct {

	// A filter that returns only flow definitions with a creation time greater
	// than or equal to the specified timestamp.
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only flow definitions that were created before the
	// specified timestamp.
	CreationTimeBefore *time.Time `type:"timestamp"`

	// The total number of items to return. If the total number of available items
	// is more than the value specified in MaxResults, then a NextToken will be
	// provided in the output that you can use to resume pagination.
	MaxResults *int64 `min:"1" type:"integer"`

	// A token to resume pagination.
	NextToken *string `type:"string"`

	// An optional value that specifies whether you want the results sorted in Ascending
	// or Descending order.
	SortOrder SortOrder `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListFlowDefinitionsInput) String added in v0.18.0 

func (s ListFlowDefinitionsInput) String() string

String returns the string representation

func (*ListFlowDefinitionsInput) Validate added in v0.18.0 

func (s *ListFlowDefinitionsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListFlowDefinitionsOutput added in v0.18.0 

type ListFlowDefinitionsOutput struct {

	// An array of objects describing the flow definitions.
	//
	// FlowDefinitionSummaries is a required field
	FlowDefinitionSummaries []FlowDefinitionSummary `type:"list" required:"true"`

	// A token to resume pagination.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListFlowDefinitionsOutput) String added in v0.18.0 

func (s ListFlowDefinitionsOutput) String() string

String returns the string representation

type ListFlowDefinitionsPaginator added in v0.18.0 

type ListFlowDefinitionsPaginator struct {
	aws.Pager
}

ListFlowDefinitionsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListFlowDefinitionsPaginator added in v0.18.0 

func NewListFlowDefinitionsPaginator(req ListFlowDefinitionsRequest) ListFlowDefinitionsPaginator

NewListFlowDefinitionsRequestPaginator returns a paginator for ListFlowDefinitions. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListFlowDefinitionsRequest(input)
p := sagemaker.NewListFlowDefinitionsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListFlowDefinitionsPaginator) CurrentPage added in v0.18.0 

func (p *ListFlowDefinitionsPaginator) CurrentPage() *ListFlowDefinitionsOutput

type ListFlowDefinitionsRequest added in v0.18.0 

type ListFlowDefinitionsRequest struct {
	*aws.Request
	Input *ListFlowDefinitionsInput
	Copy  func(*ListFlowDefinitionsInput) ListFlowDefinitionsRequest
}

ListFlowDefinitionsRequest is the request type for the ListFlowDefinitions API operation.

func (ListFlowDefinitionsRequest) Send added in v0.18.0 

func (r ListFlowDefinitionsRequest) Send(ctx context.Context) (*ListFlowDefinitionsResponse, error)

Send marshals and sends the ListFlowDefinitions API request.

type ListFlowDefinitionsResponse added in v0.18.0 

type ListFlowDefinitionsResponse struct {
	*ListFlowDefinitionsOutput
	// contains filtered or unexported fields
}

ListFlowDefinitionsResponse is the response type for the ListFlowDefinitions API operation.

func (*ListFlowDefinitionsResponse) SDKResponseMetdata added in v0.18.0 

func (r *ListFlowDefinitionsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListFlowDefinitions request.

type ListHumanTaskUisInput added in v0.18.0 

type ListHumanTaskUisInput struct {

	// A filter that returns only human task user interfaces with a creation time
	// greater than or equal to the specified timestamp.
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only human task user interfaces that were created before
	// the specified timestamp.
	CreationTimeBefore *time.Time `type:"timestamp"`

	// The total number of items to return. If the total number of available items
	// is more than the value specified in MaxResults, then a NextToken will be
	// provided in the output that you can use to resume pagination.
	MaxResults *int64 `min:"1" type:"integer"`

	// A token to resume pagination.
	NextToken *string `type:"string"`

	// An optional value that specifies whether you want the results sorted in Ascending
	// or Descending order.
	SortOrder SortOrder `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListHumanTaskUisInput) String added in v0.18.0 

func (s ListHumanTaskUisInput) String() string

String returns the string representation

func (*ListHumanTaskUisInput) Validate added in v0.18.0 

func (s *ListHumanTaskUisInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListHumanTaskUisOutput added in v0.18.0 

type ListHumanTaskUisOutput struct {

	// An array of objects describing the human task user interfaces.
	//
	// HumanTaskUiSummaries is a required field
	HumanTaskUiSummaries []HumanTaskUiSummary `type:"list" required:"true"`

	// A token to resume pagination.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListHumanTaskUisOutput) String added in v0.18.0 

func (s ListHumanTaskUisOutput) String() string

String returns the string representation

type ListHumanTaskUisPaginator added in v0.18.0 

type ListHumanTaskUisPaginator struct {
	aws.Pager
}

ListHumanTaskUisPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListHumanTaskUisPaginator added in v0.18.0 

func NewListHumanTaskUisPaginator(req ListHumanTaskUisRequest) ListHumanTaskUisPaginator

NewListHumanTaskUisRequestPaginator returns a paginator for ListHumanTaskUis. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListHumanTaskUisRequest(input)
p := sagemaker.NewListHumanTaskUisRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListHumanTaskUisPaginator) CurrentPage added in v0.18.0 

func (p *ListHumanTaskUisPaginator) CurrentPage() *ListHumanTaskUisOutput

type ListHumanTaskUisRequest added in v0.18.0 

type ListHumanTaskUisRequest struct {
	*aws.Request
	Input *ListHumanTaskUisInput
	Copy  func(*ListHumanTaskUisInput) ListHumanTaskUisRequest
}

ListHumanTaskUisRequest is the request type for the ListHumanTaskUis API operation.

func (ListHumanTaskUisRequest) Send added in v0.18.0 

func (r ListHumanTaskUisRequest) Send(ctx context.Context) (*ListHumanTaskUisResponse, error)

Send marshals and sends the ListHumanTaskUis API request.

type ListHumanTaskUisResponse added in v0.18.0 

type ListHumanTaskUisResponse struct {
	*ListHumanTaskUisOutput
	// contains filtered or unexported fields
}

ListHumanTaskUisResponse is the response type for the ListHumanTaskUis API operation.

func (*ListHumanTaskUisResponse) SDKResponseMetdata added in v0.18.0 

func (r *ListHumanTaskUisResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListHumanTaskUis request.

type ListHyperParameterTuningJobsInput added in v0.5.0 

type ListHyperParameterTuningJobsInput struct {

	// A filter that returns only tuning jobs that were created after the specified
	// time.
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only tuning jobs that were created before the specified
	// time.
	CreationTimeBefore *time.Time `type:"timestamp"`

	// A filter that returns only tuning jobs that were modified after the specified
	// time.
	LastModifiedTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only tuning jobs that were modified before the specified
	// time.
	LastModifiedTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of tuning jobs to return. The default value is 10.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the tuning job name. This filter returns only tuning jobs whose
	// name contains the specified string.
	NameContains *string `type:"string"`

	// If the result of the previous ListHyperParameterTuningJobs request was truncated,
	// the response includes a NextToken. To retrieve the next set of tuning jobs,
	// use the token in the next request.
	NextToken *string `type:"string"`

	// The field to sort results by. The default is Name.
	SortBy HyperParameterTuningJobSortByOptions `type:"string" enum:"true"`

	// The sort order for results. The default is Ascending.
	SortOrder SortOrder `type:"string" enum:"true"`

	// A filter that returns only tuning jobs with the specified status.
	StatusEquals HyperParameterTuningJobStatus `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListHyperParameterTuningJobsInput) String added in v0.5.0 

func (s ListHyperParameterTuningJobsInput) String() string

String returns the string representation

func (*ListHyperParameterTuningJobsInput) Validate added in v0.5.0 

func (s *ListHyperParameterTuningJobsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListHyperParameterTuningJobsOutput added in v0.5.0 

type ListHyperParameterTuningJobsOutput struct {

	// A list of HyperParameterTuningJobSummary objects that describe the tuning
	// jobs that the ListHyperParameterTuningJobs request returned.
	//
	// HyperParameterTuningJobSummaries is a required field
	HyperParameterTuningJobSummaries []HyperParameterTuningJobSummary `type:"list" required:"true"`

	// If the result of this ListHyperParameterTuningJobs request was truncated,
	// the response includes a NextToken. To retrieve the next set of tuning jobs,
	// use the token in the next request.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListHyperParameterTuningJobsOutput) String added in v0.5.0 

func (s ListHyperParameterTuningJobsOutput) String() string

String returns the string representation

type ListHyperParameterTuningJobsPaginator added in v0.9.0 

type ListHyperParameterTuningJobsPaginator struct {
	aws.Pager
}

ListHyperParameterTuningJobsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListHyperParameterTuningJobsPaginator added in v0.9.0 

func NewListHyperParameterTuningJobsPaginator(req ListHyperParameterTuningJobsRequest) ListHyperParameterTuningJobsPaginator

NewListHyperParameterTuningJobsRequestPaginator returns a paginator for ListHyperParameterTuningJobs. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListHyperParameterTuningJobsRequest(input)
p := sagemaker.NewListHyperParameterTuningJobsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListHyperParameterTuningJobsPaginator) CurrentPage added in v0.9.0 

func (p *ListHyperParameterTuningJobsPaginator) CurrentPage() *ListHyperParameterTuningJobsOutput

type ListHyperParameterTuningJobsRequest added in v0.5.0 

type ListHyperParameterTuningJobsRequest struct {
	*aws.Request
	Input *ListHyperParameterTuningJobsInput
	Copy  func(*ListHyperParameterTuningJobsInput) ListHyperParameterTuningJobsRequest
}

ListHyperParameterTuningJobsRequest is the request type for the ListHyperParameterTuningJobs API operation.

func (ListHyperParameterTuningJobsRequest) Send added in v0.5.0 

func (r ListHyperParameterTuningJobsRequest) Send(ctx context.Context) (*ListHyperParameterTuningJobsResponse, error)

Send marshals and sends the ListHyperParameterTuningJobs API request.

type ListHyperParameterTuningJobsResponse added in v0.9.0 

type ListHyperParameterTuningJobsResponse struct {
	*ListHyperParameterTuningJobsOutput
	// contains filtered or unexported fields
}

ListHyperParameterTuningJobsResponse is the response type for the ListHyperParameterTuningJobs API operation.

func (*ListHyperParameterTuningJobsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListHyperParameterTuningJobsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListHyperParameterTuningJobs request.

type ListLabelingJobsForWorkteamInput added in v0.6.0 

type ListLabelingJobsForWorkteamInput struct {

	// A filter that returns only labeling jobs created after the specified time
	// (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only labeling jobs created before the specified time
	// (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp"`

	// A filter the limits jobs to only the ones whose job reference code contains
	// the specified string.
	JobReferenceCodeContains *string `min:"1" type:"string"`

	// The maximum number of labeling jobs to return in each page of the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// If the result of the previous ListLabelingJobsForWorkteam request was truncated,
	// the response includes a NextToken. To retrieve the next set of labeling jobs,
	// use the token in the next request.
	NextToken *string `type:"string"`

	// The field to sort results by. The default is CreationTime.
	SortBy ListLabelingJobsForWorkteamSortByOptions `type:"string" enum:"true"`

	// The sort order for results. The default is Ascending.
	SortOrder SortOrder `type:"string" enum:"true"`

	// The Amazon Resource Name (ARN) of the work team for which you want to see
	// labeling jobs for.
	//
	// WorkteamArn is a required field
	WorkteamArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (ListLabelingJobsForWorkteamInput) String added in v0.6.0 

func (s ListLabelingJobsForWorkteamInput) String() string

String returns the string representation

func (*ListLabelingJobsForWorkteamInput) Validate added in v0.6.0 

func (s *ListLabelingJobsForWorkteamInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListLabelingJobsForWorkteamOutput added in v0.6.0 

type ListLabelingJobsForWorkteamOutput struct {

	// An array of LabelingJobSummary objects, each describing a labeling job.
	//
	// LabelingJobSummaryList is a required field
	LabelingJobSummaryList []LabelingJobForWorkteamSummary `type:"list" required:"true"`

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of labeling jobs, use it in the subsequent request.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListLabelingJobsForWorkteamOutput) String added in v0.6.0 

func (s ListLabelingJobsForWorkteamOutput) String() string

String returns the string representation

type ListLabelingJobsForWorkteamPaginator added in v0.9.0 

type ListLabelingJobsForWorkteamPaginator struct {
	aws.Pager
}

ListLabelingJobsForWorkteamPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListLabelingJobsForWorkteamPaginator added in v0.9.0 

func NewListLabelingJobsForWorkteamPaginator(req ListLabelingJobsForWorkteamRequest) ListLabelingJobsForWorkteamPaginator

NewListLabelingJobsForWorkteamRequestPaginator returns a paginator for ListLabelingJobsForWorkteam. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListLabelingJobsForWorkteamRequest(input)
p := sagemaker.NewListLabelingJobsForWorkteamRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListLabelingJobsForWorkteamPaginator) CurrentPage added in v0.9.0 

func (p *ListLabelingJobsForWorkteamPaginator) CurrentPage() *ListLabelingJobsForWorkteamOutput

type ListLabelingJobsForWorkteamRequest added in v0.6.0 

type ListLabelingJobsForWorkteamRequest struct {
	*aws.Request
	Input *ListLabelingJobsForWorkteamInput
	Copy  func(*ListLabelingJobsForWorkteamInput) ListLabelingJobsForWorkteamRequest
}

ListLabelingJobsForWorkteamRequest is the request type for the ListLabelingJobsForWorkteam API operation.

func (ListLabelingJobsForWorkteamRequest) Send added in v0.6.0 

func (r ListLabelingJobsForWorkteamRequest) Send(ctx context.Context) (*ListLabelingJobsForWorkteamResponse, error)

Send marshals and sends the ListLabelingJobsForWorkteam API request.

type ListLabelingJobsForWorkteamResponse added in v0.9.0 

type ListLabelingJobsForWorkteamResponse struct {
	*ListLabelingJobsForWorkteamOutput
	// contains filtered or unexported fields
}

ListLabelingJobsForWorkteamResponse is the response type for the ListLabelingJobsForWorkteam API operation.

func (*ListLabelingJobsForWorkteamResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListLabelingJobsForWorkteamResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListLabelingJobsForWorkteam request.

type ListLabelingJobsForWorkteamSortByOptions added in v0.6.0 

type ListLabelingJobsForWorkteamSortByOptions string
const (
	ListLabelingJobsForWorkteamSortByOptionsCreationTime ListLabelingJobsForWorkteamSortByOptions = "CreationTime"
)

Enum values for ListLabelingJobsForWorkteamSortByOptions

func (ListLabelingJobsForWorkteamSortByOptions) MarshalValue added in v0.6.0 

func (enum ListLabelingJobsForWorkteamSortByOptions) MarshalValue() (string, error)

func (ListLabelingJobsForWorkteamSortByOptions) MarshalValueBuf added in v0.6.0 

func (enum ListLabelingJobsForWorkteamSortByOptions) MarshalValueBuf(b []byte) ([]byte, error)

type ListLabelingJobsInput added in v0.6.0 

type ListLabelingJobsInput struct {

	// A filter that returns only labeling jobs created after the specified time
	// (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only labeling jobs created before the specified time
	// (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp"`

	// A filter that returns only labeling jobs modified after the specified time
	// (timestamp).
	LastModifiedTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only labeling jobs modified before the specified time
	// (timestamp).
	LastModifiedTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of labeling jobs to return in each page of the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the labeling job name. This filter returns only labeling jobs
	// whose name contains the specified string.
	NameContains *string `type:"string"`

	// If the result of the previous ListLabelingJobs request was truncated, the
	// response includes a NextToken. To retrieve the next set of labeling jobs,
	// use the token in the next request.
	NextToken *string `type:"string"`

	// The field to sort results by. The default is CreationTime.
	SortBy SortBy `type:"string" enum:"true"`

	// The sort order for results. The default is Ascending.
	SortOrder SortOrder `type:"string" enum:"true"`

	// A filter that retrieves only labeling jobs with a specific status.
	StatusEquals LabelingJobStatus `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListLabelingJobsInput) String added in v0.6.0 

func (s ListLabelingJobsInput) String() string

String returns the string representation

func (*ListLabelingJobsInput) Validate added in v0.6.0 

func (s *ListLabelingJobsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListLabelingJobsOutput added in v0.6.0 

type ListLabelingJobsOutput struct {

	// An array of LabelingJobSummary objects, each describing a labeling job.
	LabelingJobSummaryList []LabelingJobSummary `type:"list"`

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of labeling jobs, use it in the subsequent request.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListLabelingJobsOutput) String added in v0.6.0 

func (s ListLabelingJobsOutput) String() string

String returns the string representation

type ListLabelingJobsPaginator added in v0.9.0 

type ListLabelingJobsPaginator struct {
	aws.Pager
}

ListLabelingJobsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListLabelingJobsPaginator added in v0.9.0 

func NewListLabelingJobsPaginator(req ListLabelingJobsRequest) ListLabelingJobsPaginator

NewListLabelingJobsRequestPaginator returns a paginator for ListLabelingJobs. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListLabelingJobsRequest(input)
p := sagemaker.NewListLabelingJobsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListLabelingJobsPaginator) CurrentPage added in v0.9.0 

func (p *ListLabelingJobsPaginator) CurrentPage() *ListLabelingJobsOutput

type ListLabelingJobsRequest added in v0.6.0 

type ListLabelingJobsRequest struct {
	*aws.Request
	Input *ListLabelingJobsInput
	Copy  func(*ListLabelingJobsInput) ListLabelingJobsRequest
}

ListLabelingJobsRequest is the request type for the ListLabelingJobs API operation.

func (ListLabelingJobsRequest) Send added in v0.6.0 

func (r ListLabelingJobsRequest) Send(ctx context.Context) (*ListLabelingJobsResponse, error)

Send marshals and sends the ListLabelingJobs API request.

type ListLabelingJobsResponse added in v0.9.0 

type ListLabelingJobsResponse struct {
	*ListLabelingJobsOutput
	// contains filtered or unexported fields
}

ListLabelingJobsResponse is the response type for the ListLabelingJobs API operation.

func (*ListLabelingJobsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListLabelingJobsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListLabelingJobs request.

type ListModelPackagesInput added in v0.6.0 

type ListModelPackagesInput struct {

	// A filter that returns only model packages created after the specified time
	// (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only model packages created before the specified time
	// (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of model packages to return in the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the model package name. This filter returns only model packages
	// whose name contains the specified string.
	NameContains *string `type:"string"`

	// If the response to a previous ListModelPackages request was truncated, the
	// response includes a NextToken. To retrieve the next set of model packages,
	// use the token in the next request.
	NextToken *string `type:"string"`

	// The parameter by which to sort the results. The default is CreationTime.
	SortBy ModelPackageSortBy `type:"string" enum:"true"`

	// The sort order for the results. The default is Ascending.
	SortOrder SortOrder `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListModelPackagesInput) String added in v0.6.0 

func (s ListModelPackagesInput) String() string

String returns the string representation

func (*ListModelPackagesInput) Validate added in v0.6.0 

func (s *ListModelPackagesInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListModelPackagesOutput added in v0.6.0 

type ListModelPackagesOutput struct {

	// An array of ModelPackageSummary objects, each of which lists a model package.
	//
	// ModelPackageSummaryList is a required field
	ModelPackageSummaryList []ModelPackageSummary `type:"list" required:"true"`

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of model packages, use it in the subsequent request.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListModelPackagesOutput) String added in v0.6.0 

func (s ListModelPackagesOutput) String() string

String returns the string representation

type ListModelPackagesPaginator added in v0.18.0 

type ListModelPackagesPaginator struct {
	aws.Pager
}

ListModelPackagesPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListModelPackagesPaginator added in v0.18.0 

func NewListModelPackagesPaginator(req ListModelPackagesRequest) ListModelPackagesPaginator

NewListModelPackagesRequestPaginator returns a paginator for ListModelPackages. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListModelPackagesRequest(input)
p := sagemaker.NewListModelPackagesRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListModelPackagesPaginator) CurrentPage added in v0.18.0 

func (p *ListModelPackagesPaginator) CurrentPage() *ListModelPackagesOutput

type ListModelPackagesRequest added in v0.6.0 

type ListModelPackagesRequest struct {
	*aws.Request
	Input *ListModelPackagesInput
	Copy  func(*ListModelPackagesInput) ListModelPackagesRequest
}

ListModelPackagesRequest is the request type for the ListModelPackages API operation.

func (ListModelPackagesRequest) Send added in v0.6.0 

func (r ListModelPackagesRequest) Send(ctx context.Context) (*ListModelPackagesResponse, error)

Send marshals and sends the ListModelPackages API request.

type ListModelPackagesResponse added in v0.9.0 

type ListModelPackagesResponse struct {
	*ListModelPackagesOutput
	// contains filtered or unexported fields
}

ListModelPackagesResponse is the response type for the ListModelPackages API operation.

func (*ListModelPackagesResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListModelPackagesResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListModelPackages request.

type ListModelsInput 

type ListModelsInput struct {

	// A filter that returns only models with a creation time greater than or equal
	// to the specified time (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only models created before the specified time (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of models to return in the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the training job name. This filter returns only models in the
	// training job whose name contains the specified string.
	NameContains *string `type:"string"`

	// If the response to a previous ListModels request was truncated, the response
	// includes a NextToken. To retrieve the next set of models, use the token in
	// the next request.
	NextToken *string `type:"string"`

	// Sorts the list of results. The default is CreationTime.
	SortBy ModelSortKey `type:"string" enum:"true"`

	// The sort order for results. The default is Descending.
	SortOrder OrderKey `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListModelsInput) String 

func (s ListModelsInput) String() string

String returns the string representation

func (*ListModelsInput) Validate 

func (s *ListModelsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListModelsOutput 

type ListModelsOutput struct {

	// An array of ModelSummary objects, each of which lists a model.
	//
	// Models is a required field
	Models []ModelSummary `type:"list" required:"true"`

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of models, use it in the subsequent request.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListModelsOutput) String 

func (s ListModelsOutput) String() string

String returns the string representation

type ListModelsPaginator added in v0.9.0 

type ListModelsPaginator struct {
	aws.Pager
}

ListModelsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListModelsPaginator added in v0.9.0 

func NewListModelsPaginator(req ListModelsRequest) ListModelsPaginator

NewListModelsRequestPaginator returns a paginator for ListModels. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListModelsRequest(input)
p := sagemaker.NewListModelsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListModelsPaginator) CurrentPage added in v0.9.0 

func (p *ListModelsPaginator) CurrentPage() *ListModelsOutput

type ListModelsRequest 

type ListModelsRequest struct {
	*aws.Request
	Input *ListModelsInput
	Copy  func(*ListModelsInput) ListModelsRequest
}

ListModelsRequest is the request type for the ListModels API operation.

func (ListModelsRequest) Send 

func (r ListModelsRequest) Send(ctx context.Context) (*ListModelsResponse, error)

Send marshals and sends the ListModels API request.

type ListModelsResponse added in v0.9.0 

type ListModelsResponse struct {
	*ListModelsOutput
	// contains filtered or unexported fields
}

ListModelsResponse is the response type for the ListModels API operation.

func (*ListModelsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListModelsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListModels request.

type ListMonitoringExecutionsInput added in v0.18.0 

type ListMonitoringExecutionsInput struct {

	// A filter that returns only jobs created after a specified time.
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only jobs created before a specified time.
	CreationTimeBefore *time.Time `type:"timestamp"`

	// Name of a specific endpoint to fetch jobs for.
	EndpointName *string `type:"string"`

	// A filter that returns only jobs modified before a specified time.
	LastModifiedTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only jobs modified after a specified time.
	LastModifiedTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of jobs to return in the response. The default value is
	// 10.
	MaxResults *int64 `min:"1" type:"integer"`

	// Name of a specific schedule to fetch jobs for.
	MonitoringScheduleName *string `min:"1" type:"string"`

	// The token returned if the response is truncated. To retrieve the next set
	// of job executions, use it in the next request.
	NextToken *string `type:"string"`

	// Filter for jobs scheduled after a specified time.
	ScheduledTimeAfter *time.Time `type:"timestamp"`

	// Filter for jobs scheduled before a specified time.
	ScheduledTimeBefore *time.Time `type:"timestamp"`

	// Whether to sort results by Status, CreationTime, ScheduledTime field. The
	// default is CreationTime.
	SortBy MonitoringExecutionSortKey `type:"string" enum:"true"`

	// Whether to sort the results in Ascending or Descending order. The default
	// is Descending.
	SortOrder SortOrder `type:"string" enum:"true"`

	// A filter that retrieves only jobs with a specific status.
	StatusEquals ExecutionStatus `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListMonitoringExecutionsInput) String added in v0.18.0 

func (s ListMonitoringExecutionsInput) String() string

String returns the string representation

func (*ListMonitoringExecutionsInput) Validate added in v0.18.0 

func (s *ListMonitoringExecutionsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListMonitoringExecutionsOutput added in v0.18.0 

type ListMonitoringExecutionsOutput struct {

	// A JSON array in which each element is a summary for a monitoring execution.
	//
	// MonitoringExecutionSummaries is a required field
	MonitoringExecutionSummaries []MonitoringExecutionSummary `type:"list" required:"true"`

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of jobs, use it in the subsequent reques
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListMonitoringExecutionsOutput) String added in v0.18.0 

func (s ListMonitoringExecutionsOutput) String() string

String returns the string representation

type ListMonitoringExecutionsPaginator added in v0.18.0 

type ListMonitoringExecutionsPaginator struct {
	aws.Pager
}

ListMonitoringExecutionsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListMonitoringExecutionsPaginator added in v0.18.0 

func NewListMonitoringExecutionsPaginator(req ListMonitoringExecutionsRequest) ListMonitoringExecutionsPaginator

NewListMonitoringExecutionsRequestPaginator returns a paginator for ListMonitoringExecutions. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListMonitoringExecutionsRequest(input)
p := sagemaker.NewListMonitoringExecutionsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListMonitoringExecutionsPaginator) CurrentPage added in v0.18.0 

func (p *ListMonitoringExecutionsPaginator) CurrentPage() *ListMonitoringExecutionsOutput

type ListMonitoringExecutionsRequest added in v0.18.0 

type ListMonitoringExecutionsRequest struct {
	*aws.Request
	Input *ListMonitoringExecutionsInput
	Copy  func(*ListMonitoringExecutionsInput) ListMonitoringExecutionsRequest
}

ListMonitoringExecutionsRequest is the request type for the ListMonitoringExecutions API operation.

func (ListMonitoringExecutionsRequest) Send added in v0.18.0 

func (r ListMonitoringExecutionsRequest) Send(ctx context.Context) (*ListMonitoringExecutionsResponse, error)

Send marshals and sends the ListMonitoringExecutions API request.

type ListMonitoringExecutionsResponse added in v0.18.0 

type ListMonitoringExecutionsResponse struct {
	*ListMonitoringExecutionsOutput
	// contains filtered or unexported fields
}

ListMonitoringExecutionsResponse is the response type for the ListMonitoringExecutions API operation.

func (*ListMonitoringExecutionsResponse) SDKResponseMetdata added in v0.18.0 

func (r *ListMonitoringExecutionsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListMonitoringExecutions request.

type ListMonitoringSchedulesInput added in v0.18.0 

type ListMonitoringSchedulesInput struct {

	// A filter that returns only monitoring schedules created after a specified
	// time.
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only monitoring schedules created before a specified
	// time.
	CreationTimeBefore *time.Time `type:"timestamp"`

	// Name of a specific endpoint to fetch schedules for.
	EndpointName *string `type:"string"`

	// A filter that returns only monitoring schedules modified after a specified
	// time.
	LastModifiedTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only monitoring schedules modified before a specified
	// time.
	LastModifiedTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of jobs to return in the response. The default value is
	// 10.
	MaxResults *int64 `min:"1" type:"integer"`

	// Filter for monitoring schedules whose name contains a specified string.
	NameContains *string `type:"string"`

	// The token returned if the response is truncated. To retrieve the next set
	// of job executions, use it in the next request.
	NextToken *string `type:"string"`

	// Whether to sort results by Status, CreationTime, ScheduledTime field. The
	// default is CreationTime.
	SortBy MonitoringScheduleSortKey `type:"string" enum:"true"`

	// Whether to sort the results in Ascending or Descending order. The default
	// is Descending.
	SortOrder SortOrder `type:"string" enum:"true"`

	// A filter that returns only monitoring schedules modified before a specified
	// time.
	StatusEquals ScheduleStatus `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListMonitoringSchedulesInput) String added in v0.18.0 

func (s ListMonitoringSchedulesInput) String() string

String returns the string representation

func (*ListMonitoringSchedulesInput) Validate added in v0.18.0 

func (s *ListMonitoringSchedulesInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListMonitoringSchedulesOutput added in v0.18.0 

type ListMonitoringSchedulesOutput struct {

	// A JSON array in which each element is a summary for a monitoring schedule.
	//
	// MonitoringScheduleSummaries is a required field
	MonitoringScheduleSummaries []MonitoringScheduleSummary `type:"list" required:"true"`

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of jobs, use it in the subsequent reques
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListMonitoringSchedulesOutput) String added in v0.18.0 

func (s ListMonitoringSchedulesOutput) String() string

String returns the string representation

type ListMonitoringSchedulesPaginator added in v0.18.0 

type ListMonitoringSchedulesPaginator struct {
	aws.Pager
}

ListMonitoringSchedulesPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListMonitoringSchedulesPaginator added in v0.18.0 

func NewListMonitoringSchedulesPaginator(req ListMonitoringSchedulesRequest) ListMonitoringSchedulesPaginator

NewListMonitoringSchedulesRequestPaginator returns a paginator for ListMonitoringSchedules. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListMonitoringSchedulesRequest(input)
p := sagemaker.NewListMonitoringSchedulesRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListMonitoringSchedulesPaginator) CurrentPage added in v0.18.0 

func (p *ListMonitoringSchedulesPaginator) CurrentPage() *ListMonitoringSchedulesOutput

type ListMonitoringSchedulesRequest added in v0.18.0 

type ListMonitoringSchedulesRequest struct {
	*aws.Request
	Input *ListMonitoringSchedulesInput
	Copy  func(*ListMonitoringSchedulesInput) ListMonitoringSchedulesRequest
}

ListMonitoringSchedulesRequest is the request type for the ListMonitoringSchedules API operation.

func (ListMonitoringSchedulesRequest) Send added in v0.18.0 

func (r ListMonitoringSchedulesRequest) Send(ctx context.Context) (*ListMonitoringSchedulesResponse, error)

Send marshals and sends the ListMonitoringSchedules API request.

type ListMonitoringSchedulesResponse added in v0.18.0 

type ListMonitoringSchedulesResponse struct {
	*ListMonitoringSchedulesOutput
	// contains filtered or unexported fields
}

ListMonitoringSchedulesResponse is the response type for the ListMonitoringSchedules API operation.

func (*ListMonitoringSchedulesResponse) SDKResponseMetdata added in v0.18.0 

func (r *ListMonitoringSchedulesResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListMonitoringSchedules request.

type ListNotebookInstanceLifecycleConfigsInput added in v0.4.0 

type ListNotebookInstanceLifecycleConfigsInput struct {

	// A filter that returns only lifecycle configurations that were created after
	// the specified time (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only lifecycle configurations that were created before
	// the specified time (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp"`

	// A filter that returns only lifecycle configurations that were modified after
	// the specified time (timestamp).
	LastModifiedTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only lifecycle configurations that were modified before
	// the specified time (timestamp).
	LastModifiedTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of lifecycle configurations to return in the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the lifecycle configuration name. This filter returns only lifecycle
	// configurations whose name contains the specified string.
	NameContains *string `type:"string"`

	// If the result of a ListNotebookInstanceLifecycleConfigs request was truncated,
	// the response includes a NextToken. To get the next set of lifecycle configurations,
	// use the token in the next request.
	NextToken *string `type:"string"`

	// Sorts the list of results. The default is CreationTime.
	SortBy NotebookInstanceLifecycleConfigSortKey `type:"string" enum:"true"`

	// The sort order for results.
	SortOrder NotebookInstanceLifecycleConfigSortOrder `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListNotebookInstanceLifecycleConfigsInput) String added in v0.4.0 

func (s ListNotebookInstanceLifecycleConfigsInput) String() string

String returns the string representation

func (*ListNotebookInstanceLifecycleConfigsInput) Validate added in v0.4.0 

func (s *ListNotebookInstanceLifecycleConfigsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListNotebookInstanceLifecycleConfigsOutput added in v0.4.0 

type ListNotebookInstanceLifecycleConfigsOutput struct {

	// If the response is truncated, Amazon SageMaker returns this token. To get
	// the next set of lifecycle configurations, use it in the next request.
	NextToken *string `type:"string"`

	// An array of NotebookInstanceLifecycleConfiguration objects, each listing
	// a lifecycle configuration.
	NotebookInstanceLifecycleConfigs []NotebookInstanceLifecycleConfigSummary `type:"list"`
	// contains filtered or unexported fields
}

func (ListNotebookInstanceLifecycleConfigsOutput) String added in v0.4.0 

func (s ListNotebookInstanceLifecycleConfigsOutput) String() string

String returns the string representation

type ListNotebookInstanceLifecycleConfigsPaginator added in v0.9.0 

type ListNotebookInstanceLifecycleConfigsPaginator struct {
	aws.Pager
}

ListNotebookInstanceLifecycleConfigsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListNotebookInstanceLifecycleConfigsPaginator added in v0.9.0 

func NewListNotebookInstanceLifecycleConfigsPaginator(req ListNotebookInstanceLifecycleConfigsRequest) ListNotebookInstanceLifecycleConfigsPaginator

NewListNotebookInstanceLifecycleConfigsRequestPaginator returns a paginator for ListNotebookInstanceLifecycleConfigs. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListNotebookInstanceLifecycleConfigsRequest(input)
p := sagemaker.NewListNotebookInstanceLifecycleConfigsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListNotebookInstanceLifecycleConfigsPaginator) CurrentPage added in v0.9.0 

func (p *ListNotebookInstanceLifecycleConfigsPaginator) CurrentPage() *ListNotebookInstanceLifecycleConfigsOutput

type ListNotebookInstanceLifecycleConfigsRequest added in v0.4.0 

type ListNotebookInstanceLifecycleConfigsRequest struct {
	*aws.Request
	Input *ListNotebookInstanceLifecycleConfigsInput
	Copy  func(*ListNotebookInstanceLifecycleConfigsInput) ListNotebookInstanceLifecycleConfigsRequest
}

ListNotebookInstanceLifecycleConfigsRequest is the request type for the ListNotebookInstanceLifecycleConfigs API operation.

func (ListNotebookInstanceLifecycleConfigsRequest) Send added in v0.4.0 

func (r ListNotebookInstanceLifecycleConfigsRequest) Send(ctx context.Context) (*ListNotebookInstanceLifecycleConfigsResponse, error)

Send marshals and sends the ListNotebookInstanceLifecycleConfigs API request.

type ListNotebookInstanceLifecycleConfigsResponse added in v0.9.0 

type ListNotebookInstanceLifecycleConfigsResponse struct {
	*ListNotebookInstanceLifecycleConfigsOutput
	// contains filtered or unexported fields
}

ListNotebookInstanceLifecycleConfigsResponse is the response type for the ListNotebookInstanceLifecycleConfigs API operation.

func (*ListNotebookInstanceLifecycleConfigsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListNotebookInstanceLifecycleConfigsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListNotebookInstanceLifecycleConfigs request.

type ListNotebookInstancesInput 

type ListNotebookInstancesInput struct {

	// A filter that returns only notebook instances with associated with the specified
	// git repository.
	AdditionalCodeRepositoryEquals *string `min:"1" type:"string"`

	// A filter that returns only notebook instances that were created after the
	// specified time (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only notebook instances that were created before the
	// specified time (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp"`

	// A string in the name or URL of a Git repository associated with this notebook
	// instance. This filter returns only notebook instances associated with a git
	// repository with a name that contains the specified string.
	DefaultCodeRepositoryContains *string `type:"string"`

	// A filter that returns only notebook instances that were modified after the
	// specified time (timestamp).
	LastModifiedTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only notebook instances that were modified before the
	// specified time (timestamp).
	LastModifiedTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of notebook instances to return.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the notebook instances' name. This filter returns only notebook
	// instances whose name contains the specified string.
	NameContains *string `type:"string"`

	// If the previous call to the ListNotebookInstances is truncated, the response
	// includes a NextToken. You can use this token in your subsequent ListNotebookInstances
	// request to fetch the next set of notebook instances.
	//
	// You might specify a filter or a sort order in your request. When response
	// is truncated, you must use the same values for the filer and sort order in
	// the next request.
	NextToken *string `type:"string"`

	// A string in the name of a notebook instances lifecycle configuration associated
	// with this notebook instance. This filter returns only notebook instances
	// associated with a lifecycle configuration with a name that contains the specified
	// string.
	NotebookInstanceLifecycleConfigNameContains *string `type:"string"`

	// The field to sort results by. The default is Name.
	SortBy NotebookInstanceSortKey `type:"string" enum:"true"`

	// The sort order for results.
	SortOrder NotebookInstanceSortOrder `type:"string" enum:"true"`

	// A filter that returns only notebook instances with the specified status.
	StatusEquals NotebookInstanceStatus `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListNotebookInstancesInput) String 

func (s ListNotebookInstancesInput) String() string

String returns the string representation

func (*ListNotebookInstancesInput) Validate 

func (s *ListNotebookInstancesInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListNotebookInstancesOutput 

type ListNotebookInstancesOutput struct {

	// If the response to the previous ListNotebookInstances request was truncated,
	// Amazon SageMaker returns this token. To retrieve the next set of notebook
	// instances, use the token in the next request.
	NextToken *string `type:"string"`

	// An array of NotebookInstanceSummary objects, one for each notebook instance.
	NotebookInstances []NotebookInstanceSummary `type:"list"`
	// contains filtered or unexported fields
}

func (ListNotebookInstancesOutput) String 

func (s ListNotebookInstancesOutput) String() string

String returns the string representation

type ListNotebookInstancesPaginator added in v0.9.0 

type ListNotebookInstancesPaginator struct {
	aws.Pager
}

ListNotebookInstancesPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListNotebookInstancesPaginator added in v0.9.0 

func NewListNotebookInstancesPaginator(req ListNotebookInstancesRequest) ListNotebookInstancesPaginator

NewListNotebookInstancesRequestPaginator returns a paginator for ListNotebookInstances. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListNotebookInstancesRequest(input)
p := sagemaker.NewListNotebookInstancesRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListNotebookInstancesPaginator) CurrentPage added in v0.9.0 

func (p *ListNotebookInstancesPaginator) CurrentPage() *ListNotebookInstancesOutput

type ListNotebookInstancesRequest 

type ListNotebookInstancesRequest struct {
	*aws.Request
	Input *ListNotebookInstancesInput
	Copy  func(*ListNotebookInstancesInput) ListNotebookInstancesRequest
}

ListNotebookInstancesRequest is the request type for the ListNotebookInstances API operation.

func (ListNotebookInstancesRequest) Send 

func (r ListNotebookInstancesRequest) Send(ctx context.Context) (*ListNotebookInstancesResponse, error)

Send marshals and sends the ListNotebookInstances API request.

type ListNotebookInstancesResponse added in v0.9.0 

type ListNotebookInstancesResponse struct {
	*ListNotebookInstancesOutput
	// contains filtered or unexported fields
}

ListNotebookInstancesResponse is the response type for the ListNotebookInstances API operation.

func (*ListNotebookInstancesResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListNotebookInstancesResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListNotebookInstances request.

type ListProcessingJobsInput added in v0.18.0 

type ListProcessingJobsInput struct {

	// A filter that returns only processing jobs created after the specified time.
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only processing jobs created after the specified time.
	CreationTimeBefore *time.Time `type:"timestamp"`

	// A filter that returns only processing jobs modified after the specified time.
	LastModifiedTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only processing jobs modified before the specified
	// time.
	LastModifiedTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of processing jobs to return in the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the processing job name. This filter returns only processing
	// jobs whose name contains the specified string.
	NameContains *string `type:"string"`

	// If the result of the previous ListProcessingJobs request was truncated, the
	// response includes a NextToken. To retrieve the next set of processing jobs,
	// use the token in the next request.
	NextToken *string `type:"string"`

	// The field to sort results by. The default is CreationTime.
	SortBy SortBy `type:"string" enum:"true"`

	// The sort order for results. The default is Ascending.
	SortOrder SortOrder `type:"string" enum:"true"`

	// A filter that retrieves only processing jobs with a specific status.
	StatusEquals ProcessingJobStatus `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListProcessingJobsInput) String added in v0.18.0 

func (s ListProcessingJobsInput) String() string

String returns the string representation

func (*ListProcessingJobsInput) Validate added in v0.18.0 

func (s *ListProcessingJobsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListProcessingJobsOutput added in v0.18.0 

type ListProcessingJobsOutput struct {

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of processing jobs, use it in the subsequent request.
	NextToken *string `type:"string"`

	// An array of ProcessingJobSummary objects, each listing a processing job.
	//
	// ProcessingJobSummaries is a required field
	ProcessingJobSummaries []ProcessingJobSummary `type:"list" required:"true"`
	// contains filtered or unexported fields
}

func (ListProcessingJobsOutput) String added in v0.18.0 

func (s ListProcessingJobsOutput) String() string

String returns the string representation

type ListProcessingJobsPaginator added in v0.18.0 

type ListProcessingJobsPaginator struct {
	aws.Pager
}

ListProcessingJobsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListProcessingJobsPaginator added in v0.18.0 

func NewListProcessingJobsPaginator(req ListProcessingJobsRequest) ListProcessingJobsPaginator

NewListProcessingJobsRequestPaginator returns a paginator for ListProcessingJobs. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListProcessingJobsRequest(input)
p := sagemaker.NewListProcessingJobsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListProcessingJobsPaginator) CurrentPage added in v0.18.0 

func (p *ListProcessingJobsPaginator) CurrentPage() *ListProcessingJobsOutput

type ListProcessingJobsRequest added in v0.18.0 

type ListProcessingJobsRequest struct {
	*aws.Request
	Input *ListProcessingJobsInput
	Copy  func(*ListProcessingJobsInput) ListProcessingJobsRequest
}

ListProcessingJobsRequest is the request type for the ListProcessingJobs API operation.

func (ListProcessingJobsRequest) Send added in v0.18.0 

func (r ListProcessingJobsRequest) Send(ctx context.Context) (*ListProcessingJobsResponse, error)

Send marshals and sends the ListProcessingJobs API request.

type ListProcessingJobsResponse added in v0.18.0 

type ListProcessingJobsResponse struct {
	*ListProcessingJobsOutput
	// contains filtered or unexported fields
}

ListProcessingJobsResponse is the response type for the ListProcessingJobs API operation.

func (*ListProcessingJobsResponse) SDKResponseMetdata added in v0.18.0 

func (r *ListProcessingJobsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListProcessingJobs request.

type ListSubscribedWorkteamsInput added in v0.6.0 

type ListSubscribedWorkteamsInput struct {

	// The maximum number of work teams to return in each page of the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the work team name. This filter returns only work teams whose
	// name contains the specified string.
	NameContains *string `min:"1" type:"string"`

	// If the result of the previous ListSubscribedWorkteams request was truncated,
	// the response includes a NextToken. To retrieve the next set of labeling jobs,
	// use the token in the next request.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListSubscribedWorkteamsInput) String added in v0.6.0 

func (s ListSubscribedWorkteamsInput) String() string

String returns the string representation

func (*ListSubscribedWorkteamsInput) Validate added in v0.6.0 

func (s *ListSubscribedWorkteamsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListSubscribedWorkteamsOutput added in v0.6.0 

type ListSubscribedWorkteamsOutput struct {

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of work teams, use it in the subsequent request.
	NextToken *string `type:"string"`

	// An array of Workteam objects, each describing a work team.
	//
	// SubscribedWorkteams is a required field
	SubscribedWorkteams []SubscribedWorkteam `type:"list" required:"true"`
	// contains filtered or unexported fields
}

func (ListSubscribedWorkteamsOutput) String added in v0.6.0 

func (s ListSubscribedWorkteamsOutput) String() string

String returns the string representation

type ListSubscribedWorkteamsPaginator added in v0.9.0 

type ListSubscribedWorkteamsPaginator struct {
	aws.Pager
}

ListSubscribedWorkteamsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListSubscribedWorkteamsPaginator added in v0.9.0 

func NewListSubscribedWorkteamsPaginator(req ListSubscribedWorkteamsRequest) ListSubscribedWorkteamsPaginator

NewListSubscribedWorkteamsRequestPaginator returns a paginator for ListSubscribedWorkteams. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListSubscribedWorkteamsRequest(input)
p := sagemaker.NewListSubscribedWorkteamsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListSubscribedWorkteamsPaginator) CurrentPage added in v0.9.0 

func (p *ListSubscribedWorkteamsPaginator) CurrentPage() *ListSubscribedWorkteamsOutput

type ListSubscribedWorkteamsRequest added in v0.6.0 

type ListSubscribedWorkteamsRequest struct {
	*aws.Request
	Input *ListSubscribedWorkteamsInput
	Copy  func(*ListSubscribedWorkteamsInput) ListSubscribedWorkteamsRequest
}

ListSubscribedWorkteamsRequest is the request type for the ListSubscribedWorkteams API operation.

func (ListSubscribedWorkteamsRequest) Send added in v0.6.0 

func (r ListSubscribedWorkteamsRequest) Send(ctx context.Context) (*ListSubscribedWorkteamsResponse, error)

Send marshals and sends the ListSubscribedWorkteams API request.

type ListSubscribedWorkteamsResponse added in v0.9.0 

type ListSubscribedWorkteamsResponse struct {
	*ListSubscribedWorkteamsOutput
	// contains filtered or unexported fields
}

ListSubscribedWorkteamsResponse is the response type for the ListSubscribedWorkteams API operation.

func (*ListSubscribedWorkteamsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListSubscribedWorkteamsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListSubscribedWorkteams request.

type ListTagsInput 

type ListTagsInput struct {

	// Maximum number of tags to return.
	MaxResults *int64 `min:"50" type:"integer"`

	// If the response to the previous ListTags request is truncated, Amazon SageMaker
	// returns this token. To retrieve the next set of tags, use it in the subsequent
	// request.
	NextToken *string `type:"string"`

	// The Amazon Resource Name (ARN) of the resource whose tags you want to retrieve.
	//
	// ResourceArn is a required field
	ResourceArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (ListTagsInput) String 

func (s ListTagsInput) String() string

String returns the string representation

func (*ListTagsInput) Validate 

func (s *ListTagsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListTagsOutput 

type ListTagsOutput struct {

	// If response is truncated, Amazon SageMaker includes a token in the response.
	// You can use this token in your subsequent request to fetch next set of tokens.
	NextToken *string `type:"string"`

	// An array of Tag objects, each with a tag key and a value.
	Tags []Tag `type:"list"`
	// contains filtered or unexported fields
}

func (ListTagsOutput) String 

func (s ListTagsOutput) String() string

String returns the string representation

type ListTagsPaginator added in v0.9.0 

type ListTagsPaginator struct {
	aws.Pager
}

ListTagsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListTagsPaginator added in v0.9.0 

func NewListTagsPaginator(req ListTagsRequest) ListTagsPaginator

NewListTagsRequestPaginator returns a paginator for ListTags. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListTagsRequest(input)
p := sagemaker.NewListTagsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListTagsPaginator) CurrentPage added in v0.9.0 

func (p *ListTagsPaginator) CurrentPage() *ListTagsOutput

type ListTagsRequest 

type ListTagsRequest struct {
	*aws.Request
	Input *ListTagsInput
	Copy  func(*ListTagsInput) ListTagsRequest
}

ListTagsRequest is the request type for the ListTags API operation.

func (ListTagsRequest) Send 

func (r ListTagsRequest) Send(ctx context.Context) (*ListTagsResponse, error)

Send marshals and sends the ListTags API request.

type ListTagsResponse added in v0.9.0 

type ListTagsResponse struct {
	*ListTagsOutput
	// contains filtered or unexported fields
}

ListTagsResponse is the response type for the ListTags API operation.

func (*ListTagsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListTagsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListTags request.

type ListTrainingJobsForHyperParameterTuningJobInput added in v0.5.0 

type ListTrainingJobsForHyperParameterTuningJobInput struct {

	// The name of the tuning job whose training jobs you want to list.
	//
	// HyperParameterTuningJobName is a required field
	HyperParameterTuningJobName *string `min:"1" type:"string" required:"true"`

	// The maximum number of training jobs to return. The default value is 10.
	MaxResults *int64 `min:"1" type:"integer"`

	// If the result of the previous ListTrainingJobsForHyperParameterTuningJob
	// request was truncated, the response includes a NextToken. To retrieve the
	// next set of training jobs, use the token in the next request.
	NextToken *string `type:"string"`

	// The field to sort results by. The default is Name.
	//
	// If the value of this field is FinalObjectiveMetricValue, any training jobs
	// that did not return an objective metric are not listed.
	SortBy TrainingJobSortByOptions `type:"string" enum:"true"`

	// The sort order for results. The default is Ascending.
	SortOrder SortOrder `type:"string" enum:"true"`

	// A filter that returns only training jobs with the specified status.
	StatusEquals TrainingJobStatus `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListTrainingJobsForHyperParameterTuningJobInput) String added in v0.5.0 

func (s ListTrainingJobsForHyperParameterTuningJobInput) String() string

String returns the string representation

func (*ListTrainingJobsForHyperParameterTuningJobInput) Validate added in v0.5.0 

func (s *ListTrainingJobsForHyperParameterTuningJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListTrainingJobsForHyperParameterTuningJobOutput added in v0.5.0 

type ListTrainingJobsForHyperParameterTuningJobOutput struct {

	// If the result of this ListTrainingJobsForHyperParameterTuningJob request
	// was truncated, the response includes a NextToken. To retrieve the next set
	// of training jobs, use the token in the next request.
	NextToken *string `type:"string"`

	// A list of TrainingJobSummary objects that describe the training jobs that
	// the ListTrainingJobsForHyperParameterTuningJob request returned.
	//
	// TrainingJobSummaries is a required field
	TrainingJobSummaries []HyperParameterTrainingJobSummary `type:"list" required:"true"`
	// contains filtered or unexported fields
}

func (ListTrainingJobsForHyperParameterTuningJobOutput) String added in v0.5.0 

func (s ListTrainingJobsForHyperParameterTuningJobOutput) String() string

String returns the string representation

type ListTrainingJobsForHyperParameterTuningJobPaginator added in v0.9.0 

type ListTrainingJobsForHyperParameterTuningJobPaginator struct {
	aws.Pager
}

ListTrainingJobsForHyperParameterTuningJobPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListTrainingJobsForHyperParameterTuningJobPaginator added in v0.9.0 

func NewListTrainingJobsForHyperParameterTuningJobPaginator(req ListTrainingJobsForHyperParameterTuningJobRequest) ListTrainingJobsForHyperParameterTuningJobPaginator

NewListTrainingJobsForHyperParameterTuningJobRequestPaginator returns a paginator for ListTrainingJobsForHyperParameterTuningJob. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListTrainingJobsForHyperParameterTuningJobRequest(input)
p := sagemaker.NewListTrainingJobsForHyperParameterTuningJobRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListTrainingJobsForHyperParameterTuningJobPaginator) CurrentPage added in v0.9.0 

func (p *ListTrainingJobsForHyperParameterTuningJobPaginator) CurrentPage() *ListTrainingJobsForHyperParameterTuningJobOutput

type ListTrainingJobsForHyperParameterTuningJobRequest added in v0.5.0 

type ListTrainingJobsForHyperParameterTuningJobRequest struct {
	*aws.Request
	Input *ListTrainingJobsForHyperParameterTuningJobInput
	Copy  func(*ListTrainingJobsForHyperParameterTuningJobInput) ListTrainingJobsForHyperParameterTuningJobRequest
}

ListTrainingJobsForHyperParameterTuningJobRequest is the request type for the ListTrainingJobsForHyperParameterTuningJob API operation.

func (ListTrainingJobsForHyperParameterTuningJobRequest) Send added in v0.5.0 

func (r ListTrainingJobsForHyperParameterTuningJobRequest) Send(ctx context.Context) (*ListTrainingJobsForHyperParameterTuningJobResponse, error)

Send marshals and sends the ListTrainingJobsForHyperParameterTuningJob API request.

type ListTrainingJobsForHyperParameterTuningJobResponse added in v0.9.0 

type ListTrainingJobsForHyperParameterTuningJobResponse struct {
	*ListTrainingJobsForHyperParameterTuningJobOutput
	// contains filtered or unexported fields
}

ListTrainingJobsForHyperParameterTuningJobResponse is the response type for the ListTrainingJobsForHyperParameterTuningJob API operation.

func (*ListTrainingJobsForHyperParameterTuningJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListTrainingJobsForHyperParameterTuningJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListTrainingJobsForHyperParameterTuningJob request.

type ListTrainingJobsInput 

type ListTrainingJobsInput struct {

	// A filter that returns only training jobs created after the specified time
	// (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only training jobs created before the specified time
	// (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp"`

	// A filter that returns only training jobs modified after the specified time
	// (timestamp).
	LastModifiedTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only training jobs modified before the specified time
	// (timestamp).
	LastModifiedTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of training jobs to return in the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the training job name. This filter returns only training jobs
	// whose name contains the specified string.
	NameContains *string `type:"string"`

	// If the result of the previous ListTrainingJobs request was truncated, the
	// response includes a NextToken. To retrieve the next set of training jobs,
	// use the token in the next request.
	NextToken *string `type:"string"`

	// The field to sort results by. The default is CreationTime.
	SortBy SortBy `type:"string" enum:"true"`

	// The sort order for results. The default is Ascending.
	SortOrder SortOrder `type:"string" enum:"true"`

	// A filter that retrieves only training jobs with a specific status.
	StatusEquals TrainingJobStatus `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListTrainingJobsInput) String 

func (s ListTrainingJobsInput) String() string

String returns the string representation

func (*ListTrainingJobsInput) Validate 

func (s *ListTrainingJobsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListTrainingJobsOutput 

type ListTrainingJobsOutput struct {

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of training jobs, use it in the subsequent request.
	NextToken *string `type:"string"`

	// An array of TrainingJobSummary objects, each listing a training job.
	//
	// TrainingJobSummaries is a required field
	TrainingJobSummaries []TrainingJobSummary `type:"list" required:"true"`
	// contains filtered or unexported fields
}

func (ListTrainingJobsOutput) String 

func (s ListTrainingJobsOutput) String() string

String returns the string representation

type ListTrainingJobsPaginator added in v0.9.0 

type ListTrainingJobsPaginator struct {
	aws.Pager
}

ListTrainingJobsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListTrainingJobsPaginator added in v0.9.0 

func NewListTrainingJobsPaginator(req ListTrainingJobsRequest) ListTrainingJobsPaginator

NewListTrainingJobsRequestPaginator returns a paginator for ListTrainingJobs. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListTrainingJobsRequest(input)
p := sagemaker.NewListTrainingJobsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListTrainingJobsPaginator) CurrentPage added in v0.9.0 

func (p *ListTrainingJobsPaginator) CurrentPage() *ListTrainingJobsOutput

type ListTrainingJobsRequest 

type ListTrainingJobsRequest struct {
	*aws.Request
	Input *ListTrainingJobsInput
	Copy  func(*ListTrainingJobsInput) ListTrainingJobsRequest
}

ListTrainingJobsRequest is the request type for the ListTrainingJobs API operation.

func (ListTrainingJobsRequest) Send 

func (r ListTrainingJobsRequest) Send(ctx context.Context) (*ListTrainingJobsResponse, error)

Send marshals and sends the ListTrainingJobs API request.

type ListTrainingJobsResponse added in v0.9.0 

type ListTrainingJobsResponse struct {
	*ListTrainingJobsOutput
	// contains filtered or unexported fields
}

ListTrainingJobsResponse is the response type for the ListTrainingJobs API operation.

func (*ListTrainingJobsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListTrainingJobsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListTrainingJobs request.

type ListTransformJobsInput added in v0.5.0 

type ListTransformJobsInput struct {

	// A filter that returns only transform jobs created after the specified time.
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only transform jobs created before the specified time.
	CreationTimeBefore *time.Time `type:"timestamp"`

	// A filter that returns only transform jobs modified after the specified time.
	LastModifiedTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only transform jobs modified before the specified time.
	LastModifiedTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of transform jobs to return in the response. The default
	// value is 10.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the transform job name. This filter returns only transform jobs
	// whose name contains the specified string.
	NameContains *string `type:"string"`

	// If the result of the previous ListTransformJobs request was truncated, the
	// response includes a NextToken. To retrieve the next set of transform jobs,
	// use the token in the next request.
	NextToken *string `type:"string"`

	// The field to sort results by. The default is CreationTime.
	SortBy SortBy `type:"string" enum:"true"`

	// The sort order for results. The default is Descending.
	SortOrder SortOrder `type:"string" enum:"true"`

	// A filter that retrieves only transform jobs with a specific status.
	StatusEquals TransformJobStatus `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListTransformJobsInput) String added in v0.5.0 

func (s ListTransformJobsInput) String() string

String returns the string representation

func (*ListTransformJobsInput) Validate added in v0.5.0 

func (s *ListTransformJobsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListTransformJobsOutput added in v0.5.0 

type ListTransformJobsOutput struct {

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of transform jobs, use it in the next request.
	NextToken *string `type:"string"`

	// An array of TransformJobSummary objects.
	//
	// TransformJobSummaries is a required field
	TransformJobSummaries []TransformJobSummary `type:"list" required:"true"`
	// contains filtered or unexported fields
}

func (ListTransformJobsOutput) String added in v0.5.0 

func (s ListTransformJobsOutput) String() string

String returns the string representation

type ListTransformJobsPaginator added in v0.9.0 

type ListTransformJobsPaginator struct {
	aws.Pager
}

ListTransformJobsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListTransformJobsPaginator added in v0.9.0 

func NewListTransformJobsPaginator(req ListTransformJobsRequest) ListTransformJobsPaginator

NewListTransformJobsRequestPaginator returns a paginator for ListTransformJobs. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListTransformJobsRequest(input)
p := sagemaker.NewListTransformJobsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListTransformJobsPaginator) CurrentPage added in v0.9.0 

func (p *ListTransformJobsPaginator) CurrentPage() *ListTransformJobsOutput

type ListTransformJobsRequest added in v0.5.0 

type ListTransformJobsRequest struct {
	*aws.Request
	Input *ListTransformJobsInput
	Copy  func(*ListTransformJobsInput) ListTransformJobsRequest
}

ListTransformJobsRequest is the request type for the ListTransformJobs API operation.

func (ListTransformJobsRequest) Send added in v0.5.0 

func (r ListTransformJobsRequest) Send(ctx context.Context) (*ListTransformJobsResponse, error)

Send marshals and sends the ListTransformJobs API request.

type ListTransformJobsResponse added in v0.9.0 

type ListTransformJobsResponse struct {
	*ListTransformJobsOutput
	// contains filtered or unexported fields
}

ListTransformJobsResponse is the response type for the ListTransformJobs API operation.

func (*ListTransformJobsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListTransformJobsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListTransformJobs request.

type ListTrialComponentsInput added in v0.18.0 

type ListTrialComponentsInput struct {

	// A filter that returns only components created after the specified time.
	CreatedAfter *time.Time `type:"timestamp"`

	// A filter that returns only components created before the specified time.
	CreatedBefore *time.Time `type:"timestamp"`

	// A filter that returns only components that are part of the specified experiment.
	// If you specify ExperimentName, you can't filter by SourceArn or TrialName.
	ExperimentName *string `min:"1" type:"string"`

	// The maximum number of components to return in the response. The default value
	// is 10.
	MaxResults *int64 `min:"1" type:"integer"`

	// If the previous call to ListTrialComponents didn't return the full set of
	// components, the call returns a token for getting the next set of components.
	NextToken *string `type:"string"`

	// The property used to sort results. The default value is CreationTime.
	SortBy SortTrialComponentsBy `type:"string" enum:"true"`

	// The sort order. The default value is Descending.
	SortOrder SortOrder `type:"string" enum:"true"`

	// A filter that returns only components that have the specified source Amazon
	// Resource Name (ARN). If you specify SourceArn, you can't filter by ExperimentName
	// or TrialName.
	SourceArn *string `type:"string"`

	// A filter that returns only components that are part of the specified trial.
	// If you specify TrialName, you can't filter by ExperimentName or SourceArn.
	TrialName *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

func (ListTrialComponentsInput) String added in v0.18.0 

func (s ListTrialComponentsInput) String() string

String returns the string representation

func (*ListTrialComponentsInput) Validate added in v0.18.0 

func (s *ListTrialComponentsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListTrialComponentsOutput added in v0.18.0 

type ListTrialComponentsOutput struct {

	// A token for getting the next set of components, if there are any.
	NextToken *string `type:"string"`

	// A list of the summaries of your trial components.
	TrialComponentSummaries []TrialComponentSummary `type:"list"`
	// contains filtered or unexported fields
}

func (ListTrialComponentsOutput) String added in v0.18.0 

func (s ListTrialComponentsOutput) String() string

String returns the string representation

type ListTrialComponentsPaginator added in v0.18.0 

type ListTrialComponentsPaginator struct {
	aws.Pager
}

ListTrialComponentsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListTrialComponentsPaginator added in v0.18.0 

func NewListTrialComponentsPaginator(req ListTrialComponentsRequest) ListTrialComponentsPaginator

NewListTrialComponentsRequestPaginator returns a paginator for ListTrialComponents. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListTrialComponentsRequest(input)
p := sagemaker.NewListTrialComponentsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListTrialComponentsPaginator) CurrentPage added in v0.18.0 

func (p *ListTrialComponentsPaginator) CurrentPage() *ListTrialComponentsOutput

type ListTrialComponentsRequest added in v0.18.0 

type ListTrialComponentsRequest struct {
	*aws.Request
	Input *ListTrialComponentsInput
	Copy  func(*ListTrialComponentsInput) ListTrialComponentsRequest
}

ListTrialComponentsRequest is the request type for the ListTrialComponents API operation.

func (ListTrialComponentsRequest) Send added in v0.18.0 

func (r ListTrialComponentsRequest) Send(ctx context.Context) (*ListTrialComponentsResponse, error)

Send marshals and sends the ListTrialComponents API request.

type ListTrialComponentsResponse added in v0.18.0 

type ListTrialComponentsResponse struct {
	*ListTrialComponentsOutput
	// contains filtered or unexported fields
}

ListTrialComponentsResponse is the response type for the ListTrialComponents API operation.

func (*ListTrialComponentsResponse) SDKResponseMetdata added in v0.18.0 

func (r *ListTrialComponentsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListTrialComponents request.

type ListTrialsInput added in v0.18.0 

type ListTrialsInput struct {

	// A filter that returns only trials created after the specified time.
	CreatedAfter *time.Time `type:"timestamp"`

	// A filter that returns only trials created before the specified time.
	CreatedBefore *time.Time `type:"timestamp"`

	// A filter that returns only trials that are part of the specified experiment.
	ExperimentName *string `min:"1" type:"string"`

	// The maximum number of trials to return in the response. The default value
	// is 10.
	MaxResults *int64 `min:"1" type:"integer"`

	// If the previous call to ListTrials didn't return the full set of trials,
	// the call returns a token for getting the next set of trials.
	NextToken *string `type:"string"`

	// The property used to sort results. The default value is CreationTime.
	SortBy SortTrialsBy `type:"string" enum:"true"`

	// The sort order. The default value is Descending.
	SortOrder SortOrder `type:"string" enum:"true"`

	// A filter that returns only trials that are associated with the specified
	// trial component.
	TrialComponentName *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

func (ListTrialsInput) String added in v0.18.0 

func (s ListTrialsInput) String() string

String returns the string representation

func (*ListTrialsInput) Validate added in v0.18.0 

func (s *ListTrialsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListTrialsOutput added in v0.18.0 

type ListTrialsOutput struct {

	// A token for getting the next set of trials, if there are any.
	NextToken *string `type:"string"`

	// A list of the summaries of your trials.
	TrialSummaries []TrialSummary `type:"list"`
	// contains filtered or unexported fields
}

func (ListTrialsOutput) String added in v0.18.0 

func (s ListTrialsOutput) String() string

String returns the string representation

type ListTrialsPaginator added in v0.18.0 

type ListTrialsPaginator struct {
	aws.Pager
}

ListTrialsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListTrialsPaginator added in v0.18.0 

func NewListTrialsPaginator(req ListTrialsRequest) ListTrialsPaginator

NewListTrialsRequestPaginator returns a paginator for ListTrials. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListTrialsRequest(input)
p := sagemaker.NewListTrialsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListTrialsPaginator) CurrentPage added in v0.18.0 

func (p *ListTrialsPaginator) CurrentPage() *ListTrialsOutput

type ListTrialsRequest added in v0.18.0 

type ListTrialsRequest struct {
	*aws.Request
	Input *ListTrialsInput
	Copy  func(*ListTrialsInput) ListTrialsRequest
}

ListTrialsRequest is the request type for the ListTrials API operation.

func (ListTrialsRequest) Send added in v0.18.0 

func (r ListTrialsRequest) Send(ctx context.Context) (*ListTrialsResponse, error)

Send marshals and sends the ListTrials API request.

type ListTrialsResponse added in v0.18.0 

type ListTrialsResponse struct {
	*ListTrialsOutput
	// contains filtered or unexported fields
}

ListTrialsResponse is the response type for the ListTrials API operation.

func (*ListTrialsResponse) SDKResponseMetdata added in v0.18.0 

func (r *ListTrialsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListTrials request.

type ListUserProfilesInput added in v0.18.0 

type ListUserProfilesInput struct {

	// A parameter by which to filter the results.
	DomainIdEquals *string `type:"string"`

	// Returns a list up to a specified limit.
	MaxResults *int64 `min:"1" type:"integer"`

	// If the previous response was truncated, you will receive this token. Use
	// it in your next request to receive the next set of results.
	NextToken *string `type:"string"`

	// The parameter by which to sort the results. The default is CreationTime.
	SortBy UserProfileSortKey `type:"string" enum:"true"`

	// The sort order for the results. The default is Ascending.
	SortOrder SortOrder `type:"string" enum:"true"`

	// A parameter by which to filter the results.
	UserProfileNameContains *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListUserProfilesInput) String added in v0.18.0 

func (s ListUserProfilesInput) String() string

String returns the string representation

func (*ListUserProfilesInput) Validate added in v0.18.0 

func (s *ListUserProfilesInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListUserProfilesOutput added in v0.18.0 

type ListUserProfilesOutput struct {

	// If the previous response was truncated, you will receive this token. Use
	// it in your next request to receive the next set of results.
	NextToken *string `type:"string"`

	// The list of user profiles.
	UserProfiles []UserProfileDetails `type:"list"`
	// contains filtered or unexported fields
}

func (ListUserProfilesOutput) String added in v0.18.0 

func (s ListUserProfilesOutput) String() string

String returns the string representation

type ListUserProfilesPaginator added in v0.18.0 

type ListUserProfilesPaginator struct {
	aws.Pager
}

ListUserProfilesPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListUserProfilesPaginator added in v0.18.0 

func NewListUserProfilesPaginator(req ListUserProfilesRequest) ListUserProfilesPaginator

NewListUserProfilesRequestPaginator returns a paginator for ListUserProfiles. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListUserProfilesRequest(input)
p := sagemaker.NewListUserProfilesRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListUserProfilesPaginator) CurrentPage added in v0.18.0 

func (p *ListUserProfilesPaginator) CurrentPage() *ListUserProfilesOutput

type ListUserProfilesRequest added in v0.18.0 

type ListUserProfilesRequest struct {
	*aws.Request
	Input *ListUserProfilesInput
	Copy  func(*ListUserProfilesInput) ListUserProfilesRequest
}

ListUserProfilesRequest is the request type for the ListUserProfiles API operation.

func (ListUserProfilesRequest) Send added in v0.18.0 

func (r ListUserProfilesRequest) Send(ctx context.Context) (*ListUserProfilesResponse, error)

Send marshals and sends the ListUserProfiles API request.

type ListUserProfilesResponse added in v0.18.0 

type ListUserProfilesResponse struct {
	*ListUserProfilesOutput
	// contains filtered or unexported fields
}

ListUserProfilesResponse is the response type for the ListUserProfiles API operation.

func (*ListUserProfilesResponse) SDKResponseMetdata added in v0.18.0 

func (r *ListUserProfilesResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListUserProfiles request.

type ListWorkteamsInput added in v0.6.0 

type ListWorkteamsInput struct {

	// The maximum number of work teams to return in each page of the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the work team's name. This filter returns only work teams whose
	// name contains the specified string.
	NameContains *string `min:"1" type:"string"`

	// If the result of the previous ListWorkteams request was truncated, the response
	// includes a NextToken. To retrieve the next set of labeling jobs, use the
	// token in the next request.
	NextToken *string `type:"string"`

	// The field to sort results by. The default is CreationTime.
	SortBy ListWorkteamsSortByOptions `type:"string" enum:"true"`

	// The sort order for results. The default is Ascending.
	SortOrder SortOrder `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListWorkteamsInput) String added in v0.6.0 

func (s ListWorkteamsInput) String() string

String returns the string representation

func (*ListWorkteamsInput) Validate added in v0.6.0 

func (s *ListWorkteamsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListWorkteamsOutput added in v0.6.0 

type ListWorkteamsOutput struct {

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of work teams, use it in the subsequent request.
	NextToken *string `type:"string"`

	// An array of Workteam objects, each describing a work team.
	//
	// Workteams is a required field
	Workteams []Workteam `type:"list" required:"true"`
	// contains filtered or unexported fields
}

func (ListWorkteamsOutput) String added in v0.6.0 

func (s ListWorkteamsOutput) String() string

String returns the string representation

type ListWorkteamsPaginator added in v0.9.0 

type ListWorkteamsPaginator struct {
	aws.Pager
}

ListWorkteamsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListWorkteamsPaginator added in v0.9.0 

func NewListWorkteamsPaginator(req ListWorkteamsRequest) ListWorkteamsPaginator

NewListWorkteamsRequestPaginator returns a paginator for ListWorkteams. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListWorkteamsRequest(input)
p := sagemaker.NewListWorkteamsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListWorkteamsPaginator) CurrentPage added in v0.9.0 

func (p *ListWorkteamsPaginator) CurrentPage() *ListWorkteamsOutput

type ListWorkteamsRequest added in v0.6.0 

type ListWorkteamsRequest struct {
	*aws.Request
	Input *ListWorkteamsInput
	Copy  func(*ListWorkteamsInput) ListWorkteamsRequest
}

ListWorkteamsRequest is the request type for the ListWorkteams API operation.

func (ListWorkteamsRequest) Send added in v0.6.0 

func (r ListWorkteamsRequest) Send(ctx context.Context) (*ListWorkteamsResponse, error)

Send marshals and sends the ListWorkteams API request.

type ListWorkteamsResponse added in v0.9.0 

type ListWorkteamsResponse struct {
	*ListWorkteamsOutput
	// contains filtered or unexported fields
}

ListWorkteamsResponse is the response type for the ListWorkteams API operation.

func (*ListWorkteamsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListWorkteamsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListWorkteams request.

type ListWorkteamsSortByOptions added in v0.6.0 

type ListWorkteamsSortByOptions string
const (
	ListWorkteamsSortByOptionsName       ListWorkteamsSortByOptions = "Name"
	ListWorkteamsSortByOptionsCreateDate ListWorkteamsSortByOptions = "CreateDate"
)

Enum values for ListWorkteamsSortByOptions

func (ListWorkteamsSortByOptions) MarshalValue added in v0.6.0 

func (enum ListWorkteamsSortByOptions) MarshalValue() (string, error)

func (ListWorkteamsSortByOptions) MarshalValueBuf added in v0.6.0 

func (enum ListWorkteamsSortByOptions) MarshalValueBuf(b []byte) ([]byte, error)

type MemberDefinition added in v0.6.0 

type MemberDefinition struct {

	// The Amazon Cognito user group that is part of the work team.
	CognitoMemberDefinition *CognitoMemberDefinition `type:"structure"`
	// contains filtered or unexported fields
}

Defines the Amazon Cognito user group that is part of a work team.

func (MemberDefinition) String added in v0.6.0 

func (s MemberDefinition) String() string

String returns the string representation

func (*MemberDefinition) Validate added in v0.6.0 

func (s *MemberDefinition) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type MetricData added in v0.6.0 

type MetricData struct {

	// The name of the metric.
	MetricName *string `min:"1" type:"string"`

	// The date and time that the algorithm emitted the metric.
	Timestamp *time.Time `type:"timestamp"`

	// The value of the metric.
	Value *float64 `type:"float"`
	// contains filtered or unexported fields
}

The name, value, and date and time of a metric that was emitted to Amazon CloudWatch.

func (MetricData) String added in v0.6.0 

func (s MetricData) String() string

String returns the string representation

type MetricDefinition added in v0.5.0 

type MetricDefinition struct {

	// The name of the metric.
	//
	// Name is a required field
	Name *string `min:"1" type:"string" required:"true"`

	// A regular expression that searches the output of a training job and gets
	// the value of the metric. For more information about using regular expressions
	// to define metrics, see Defining Objective Metrics (https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-metrics.html).
	//
	// Regex is a required field
	Regex *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

Specifies a metric that the training algorithm writes to stderr or stdout . Amazon SageMakerhyperparameter tuning captures all defined metrics. You specify one metric that a hyperparameter tuning job uses as its objective metric to choose the best training job.

func (MetricDefinition) String added in v0.5.0 

func (s MetricDefinition) String() string

String returns the string representation

func (*MetricDefinition) Validate added in v0.5.0 

func (s *MetricDefinition) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ModelArtifacts 

type ModelArtifacts struct {

	// The path of the S3 object that contains the model artifacts. For example,
	// s3://bucket-name/keynameprefix/model.tar.gz.
	//
	// S3ModelArtifacts is a required field
	S3ModelArtifacts *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Provides information about the location that is configured for storing model artifacts.

Model artifacts are the output that results from training a model, and typically consist of trained parameters, a model defintion that desribes how to compute inferences, and other metadata.

func (ModelArtifacts) String 

func (s ModelArtifacts) String() string

String returns the string representation

type ModelClientConfig added in v0.24.0 

type ModelClientConfig struct {

	// The maximum number of retries when invocation requests are failing.
	InvocationsMaxRetries *int64 `type:"integer"`

	// The timeout value in seconds for an invocation request.
	InvocationsTimeoutInSeconds *int64 `min:"1" type:"integer"`
	// contains filtered or unexported fields
}

Configures the timeout and maximum number of retries for processing a transform job invocation.

func (ModelClientConfig) String added in v0.24.0 

func (s ModelClientConfig) String() string

String returns the string representation

func (*ModelClientConfig) Validate added in v0.24.0 

func (s *ModelClientConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ModelPackageContainerDefinition added in v0.6.0 

type ModelPackageContainerDefinition struct {

	// The DNS host name for the Docker container.
	ContainerHostname *string `type:"string"`

	// The Amazon EC2 Container Registry (Amazon ECR) path where inference code
	// is stored.
	//
	// If you are using your own custom algorithm instead of an algorithm provided
	// by Amazon SageMaker, the inference code must meet Amazon SageMaker requirements.
	// Amazon SageMaker supports both registry/repository[:tag] and registry/repository[@digest]
	// image path formats. For more information, see Using Your Own Algorithms with
	// Amazon SageMaker (https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms.html).
	//
	// Image is a required field
	Image *string `type:"string" required:"true"`

	// An MD5 hash of the training algorithm that identifies the Docker image used
	// for training.
	ImageDigest *string `type:"string"`

	// The Amazon S3 path where the model artifacts, which result from model training,
	// are stored. This path must point to a single gzip compressed tar archive
	// (.tar.gz suffix).
	ModelDataUrl *string `type:"string"`

	// The AWS Marketplace product ID of the model package.
	ProductId *string `type:"string"`
	// contains filtered or unexported fields
}

Describes the Docker container for the model package.

func (ModelPackageContainerDefinition) String added in v0.6.0 

func (s ModelPackageContainerDefinition) String() string

String returns the string representation

func (*ModelPackageContainerDefinition) Validate added in v0.6.0 

func (s *ModelPackageContainerDefinition) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ModelPackageSortBy added in v0.6.0 

type ModelPackageSortBy string
const (
	ModelPackageSortByName         ModelPackageSortBy = "Name"
	ModelPackageSortByCreationTime ModelPackageSortBy = "CreationTime"
)

Enum values for ModelPackageSortBy

func (ModelPackageSortBy) MarshalValue added in v0.6.0 

func (enum ModelPackageSortBy) MarshalValue() (string, error)

func (ModelPackageSortBy) MarshalValueBuf added in v0.6.0 

func (enum ModelPackageSortBy) MarshalValueBuf(b []byte) ([]byte, error)

type ModelPackageStatus added in v0.6.0 

type ModelPackageStatus string
const (
	ModelPackageStatusPending    ModelPackageStatus = "Pending"
	ModelPackageStatusInProgress ModelPackageStatus = "InProgress"
	ModelPackageStatusCompleted  ModelPackageStatus = "Completed"
	ModelPackageStatusFailed     ModelPackageStatus = "Failed"
	ModelPackageStatusDeleting   ModelPackageStatus = "Deleting"
)

Enum values for ModelPackageStatus

func (ModelPackageStatus) MarshalValue added in v0.6.0 

func (enum ModelPackageStatus) MarshalValue() (string, error)

func (ModelPackageStatus) MarshalValueBuf added in v0.6.0 

func (enum ModelPackageStatus) MarshalValueBuf(b []byte) ([]byte, error)

type ModelPackageStatusDetails added in v0.6.0 

type ModelPackageStatusDetails struct {

	// The status of the scan of the Docker image container for the model package.
	ImageScanStatuses []ModelPackageStatusItem `type:"list"`

	// The validation status of the model package.
	//
	// ValidationStatuses is a required field
	ValidationStatuses []ModelPackageStatusItem `type:"list" required:"true"`
	// contains filtered or unexported fields
}

Specifies the validation and image scan statuses of the model package.

func (ModelPackageStatusDetails) String added in v0.6.0 

func (s ModelPackageStatusDetails) String() string

String returns the string representation

type ModelPackageStatusItem added in v0.6.0 

type ModelPackageStatusItem struct {

	// if the overall status is Failed, the reason for the failure.
	FailureReason *string `type:"string"`

	// The name of the model package for which the overall status is being reported.
	//
	// Name is a required field
	Name *string `min:"1" type:"string" required:"true"`

	// The current status.
	//
	// Status is a required field
	Status DetailedModelPackageStatus `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Represents the overall status of a model package.

func (ModelPackageStatusItem) String added in v0.6.0 

func (s ModelPackageStatusItem) String() string

String returns the string representation

type ModelPackageSummary added in v0.6.0 

type ModelPackageSummary struct {

	// A timestamp that shows when the model package was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The Amazon Resource Name (ARN) of the model package.
	//
	// ModelPackageArn is a required field
	ModelPackageArn *string `min:"1" type:"string" required:"true"`

	// A brief description of the model package.
	ModelPackageDescription *string `type:"string"`

	// The name of the model package.
	//
	// ModelPackageName is a required field
	ModelPackageName *string `min:"1" type:"string" required:"true"`

	// The overall status of the model package.
	//
	// ModelPackageStatus is a required field
	ModelPackageStatus ModelPackageStatus `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Provides summary information about a model package.

func (ModelPackageSummary) String added in v0.6.0 

func (s ModelPackageSummary) String() string

String returns the string representation

type ModelPackageValidationProfile added in v0.6.0 

type ModelPackageValidationProfile struct {

	// The name of the profile for the model package.
	//
	// ProfileName is a required field
	ProfileName *string `min:"1" type:"string" required:"true"`

	// The TransformJobDefinition object that describes the transform job used for
	// the validation of the model package.
	//
	// TransformJobDefinition is a required field
	TransformJobDefinition *TransformJobDefinition `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

Contains data, such as the inputs and targeted instance types that are used in the process of validating the model package.

The data provided in the validation profile is made available to your buyers on AWS Marketplace.

func (ModelPackageValidationProfile) String added in v0.6.0 

func (s ModelPackageValidationProfile) String() string

String returns the string representation

func (*ModelPackageValidationProfile) Validate added in v0.6.0 

func (s *ModelPackageValidationProfile) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ModelPackageValidationSpecification added in v0.6.0 

type ModelPackageValidationSpecification struct {

	// An array of ModelPackageValidationProfile objects, each of which specifies
	// a batch transform job that Amazon SageMaker runs to validate your model package.
	//
	// ValidationProfiles is a required field
	ValidationProfiles []ModelPackageValidationProfile `min:"1" type:"list" required:"true"`

	// The IAM roles to be used for the validation of the model package.
	//
	// ValidationRole is a required field
	ValidationRole *string `min:"20" type:"string" required:"true"`
	// contains filtered or unexported fields
}

Specifies batch transform jobs that Amazon SageMaker runs to validate your model package.

func (ModelPackageValidationSpecification) String added in v0.6.0 

func (s ModelPackageValidationSpecification) String() string

String returns the string representation

func (*ModelPackageValidationSpecification) Validate added in v0.6.0 

func (s *ModelPackageValidationSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ModelSortKey 

type ModelSortKey string
const (
	ModelSortKeyName         ModelSortKey = "Name"
	ModelSortKeyCreationTime ModelSortKey = "CreationTime"
)

Enum values for ModelSortKey

func (ModelSortKey) MarshalValue added in v0.3.0 

func (enum ModelSortKey) MarshalValue() (string, error)

func (ModelSortKey) MarshalValueBuf added in v0.3.0 

func (enum ModelSortKey) MarshalValueBuf(b []byte) ([]byte, error)

type ModelSummary 

type ModelSummary struct {

	// A timestamp that indicates when the model was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The Amazon Resource Name (ARN) of the model.
	//
	// ModelArn is a required field
	ModelArn *string `min:"20" type:"string" required:"true"`

	// The name of the model that you want a summary for.
	//
	// ModelName is a required field
	ModelName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Provides summary information about a model.

func (ModelSummary) String 

func (s ModelSummary) String() string

String returns the string representation

type MonitoringAppSpecification added in v0.18.0 

type MonitoringAppSpecification struct {

	// An array of arguments for the container used to run the monitoring job.
	ContainerArguments []string `min:"1" type:"list"`

	// Specifies the entrypoint for a container used to run the monitoring job.
	ContainerEntrypoint []string `min:"1" type:"list"`

	// The container image to be run by the monitoring job.
	//
	// ImageUri is a required field
	ImageUri *string `type:"string" required:"true"`

	// An Amazon S3 URI to a script that is called after analysis has been performed.
	// Applicable only for the built-in (first party) containers.
	PostAnalyticsProcessorSourceUri *string `type:"string"`

	// An Amazon S3 URI to a script that is called per row prior to running analysis.
	// It can base64 decode the payload and convert it into a flatted json so that
	// the built-in container can use the converted data. Applicable only for the
	// built-in (first party) containers.
	RecordPreprocessorSourceUri *string `type:"string"`
	// contains filtered or unexported fields
}

Container image configuration object for the monitoring job.

func (MonitoringAppSpecification) String added in v0.18.0 

func (s MonitoringAppSpecification) String() string

String returns the string representation

func (*MonitoringAppSpecification) Validate added in v0.18.0 

func (s *MonitoringAppSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type MonitoringBaselineConfig added in v0.18.0 

type MonitoringBaselineConfig struct {

	// The baseline constraint file in Amazon S3 that the current monitoring job
	// should validated against.
	ConstraintsResource *MonitoringConstraintsResource `type:"structure"`

	// The baseline statistics file in Amazon S3 that the current monitoring job
	// should be validated against.
	StatisticsResource *MonitoringStatisticsResource `type:"structure"`
	// contains filtered or unexported fields
}

Configuration for monitoring constraints and monitoring statistics. These baseline resources are compared against the results of the current job from the series of jobs scheduled to collect data periodically.

func (MonitoringBaselineConfig) String added in v0.18.0 

func (s MonitoringBaselineConfig) String() string

String returns the string representation

type MonitoringClusterConfig added in v0.18.0 

type MonitoringClusterConfig struct {

	// The number of ML compute instances to use in the model monitoring job. For
	// distributed processing jobs, specify a value greater than 1. The default
	// value is 1.
	//
	// InstanceCount is a required field
	InstanceCount *int64 `min:"1" type:"integer" required:"true"`

	// The ML compute instance type for the processing job.
	//
	// InstanceType is a required field
	InstanceType ProcessingInstanceType `type:"string" required:"true" enum:"true"`

	// The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to
	// encrypt data on the storage volume attached to the ML compute instance(s)
	// that run the model monitoring job.
	VolumeKmsKeyId *string `type:"string"`

	// The size of the ML storage volume, in gigabytes, that you want to provision.
	// You must specify sufficient ML storage for your scenario.
	//
	// VolumeSizeInGB is a required field
	VolumeSizeInGB *int64 `min:"1" type:"integer" required:"true"`
	// contains filtered or unexported fields
}

Configuration for the cluster used to run model monitoring jobs.

func (MonitoringClusterConfig) String added in v0.18.0 

func (s MonitoringClusterConfig) String() string

String returns the string representation

func (*MonitoringClusterConfig) Validate added in v0.18.0 

func (s *MonitoringClusterConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type MonitoringConstraintsResource added in v0.18.0 

type MonitoringConstraintsResource struct {

	// The Amazon S3 URI for the constraints resource.
	S3Uri *string `type:"string"`
	// contains filtered or unexported fields
}

The constraints resource for a monitoring job.

func (MonitoringConstraintsResource) String added in v0.18.0 

func (s MonitoringConstraintsResource) String() string

String returns the string representation

type MonitoringExecutionSortKey added in v0.18.0 

type MonitoringExecutionSortKey string
const (
	MonitoringExecutionSortKeyCreationTime  MonitoringExecutionSortKey = "CreationTime"
	MonitoringExecutionSortKeyScheduledTime MonitoringExecutionSortKey = "ScheduledTime"
	MonitoringExecutionSortKeyStatus        MonitoringExecutionSortKey = "Status"
)

Enum values for MonitoringExecutionSortKey

func (MonitoringExecutionSortKey) MarshalValue added in v0.18.0 

func (enum MonitoringExecutionSortKey) MarshalValue() (string, error)

func (MonitoringExecutionSortKey) MarshalValueBuf added in v0.18.0 

func (enum MonitoringExecutionSortKey) MarshalValueBuf(b []byte) ([]byte, error)

type MonitoringExecutionSummary added in v0.18.0 

type MonitoringExecutionSummary struct {

	// The time at which the monitoring job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The name of teh endpoint used to run the monitoring job.
	EndpointName *string `type:"string"`

	// Contains the reason a monitoring job failed, if it failed.
	FailureReason *string `type:"string"`

	// A timestamp that indicates the last time the monitoring job was modified.
	//
	// LastModifiedTime is a required field
	LastModifiedTime *time.Time `type:"timestamp" required:"true"`

	// The status of the monitoring job.
	//
	// MonitoringExecutionStatus is a required field
	MonitoringExecutionStatus ExecutionStatus `type:"string" required:"true" enum:"true"`

	// The name of the monitoring schedule.
	//
	// MonitoringScheduleName is a required field
	MonitoringScheduleName *string `min:"1" type:"string" required:"true"`

	// The Amazon Resource Name (ARN) of the monitoring job.
	ProcessingJobArn *string `type:"string"`

	// The time the monitoring job was scheduled.
	//
	// ScheduledTime is a required field
	ScheduledTime *time.Time `type:"timestamp" required:"true"`
	// contains filtered or unexported fields
}

Summary of information about the last monitoring job to run.

func (MonitoringExecutionSummary) String added in v0.18.0 

func (s MonitoringExecutionSummary) String() string

String returns the string representation

type MonitoringInput added in v0.18.0 

type MonitoringInput struct {

	// The endpoint for a monitoring job.
	//
	// EndpointInput is a required field
	EndpointInput *EndpointInput `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

The inputs for a monitoring job.

func (MonitoringInput) String added in v0.18.0 

func (s MonitoringInput) String() string

String returns the string representation

func (*MonitoringInput) Validate added in v0.18.0 

func (s *MonitoringInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type MonitoringJobDefinition added in v0.18.0 

type MonitoringJobDefinition struct {

	// Baseline configuration used to validate that the data conforms to the specified
	// constraints and statistics
	BaselineConfig *MonitoringBaselineConfig `type:"structure"`

	// Sets the environment variables in the Docker container.
	Environment map[string]string `type:"map"`

	// Configures the monitoring job to run a specified Docker container image.
	//
	// MonitoringAppSpecification is a required field
	MonitoringAppSpecification *MonitoringAppSpecification `type:"structure" required:"true"`

	// The array of inputs for the monitoring job. Currently we support monitoring
	// an Amazon SageMaker Endpoint.
	//
	// MonitoringInputs is a required field
	MonitoringInputs []MonitoringInput `min:"1" type:"list" required:"true"`

	// The array of outputs from the monitoring job to be uploaded to Amazon Simple
	// Storage Service (Amazon S3).
	//
	// MonitoringOutputConfig is a required field
	MonitoringOutputConfig *MonitoringOutputConfig `type:"structure" required:"true"`

	// Identifies the resources, ML compute instances, and ML storage volumes to
	// deploy for a monitoring job. In distributed processing, you specify more
	// than one instance.
	//
	// MonitoringResources is a required field
	MonitoringResources *MonitoringResources `type:"structure" required:"true"`

	// Specifies networking options for an monitoring job.
	NetworkConfig *NetworkConfig `type:"structure"`

	// The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume
	// to perform tasks on your behalf.
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"true"`

	// Specifies a time limit for how long the monitoring job is allowed to run.
	StoppingCondition *MonitoringStoppingCondition `type:"structure"`
	// contains filtered or unexported fields
}

Defines the monitoring job.

func (MonitoringJobDefinition) String added in v0.18.0 

func (s MonitoringJobDefinition) String() string

String returns the string representation

func (*MonitoringJobDefinition) Validate added in v0.18.0 

func (s *MonitoringJobDefinition) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type MonitoringOutput added in v0.18.0 

type MonitoringOutput struct {

	// The Amazon S3 storage location where the results of a monitoring job are
	// saved.
	//
	// S3Output is a required field
	S3Output *MonitoringS3Output `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

The output object for a monitoring job.

func (MonitoringOutput) String added in v0.18.0 

func (s MonitoringOutput) String() string

String returns the string representation

func (*MonitoringOutput) Validate added in v0.18.0 

func (s *MonitoringOutput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type MonitoringOutputConfig added in v0.18.0 

type MonitoringOutputConfig struct {

	// The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to
	// encrypt the model artifacts at rest using Amazon S3 server-side encryption.
	KmsKeyId *string `type:"string"`

	// Monitoring outputs for monitoring jobs. This is where the output of the periodic
	// monitoring jobs is uploaded.
	//
	// MonitoringOutputs is a required field
	MonitoringOutputs []MonitoringOutput `min:"1" type:"list" required:"true"`
	// contains filtered or unexported fields
}

The output configuration for monitoring jobs.

func (MonitoringOutputConfig) String added in v0.18.0 

func (s MonitoringOutputConfig) String() string

String returns the string representation

func (*MonitoringOutputConfig) Validate added in v0.18.0 

func (s *MonitoringOutputConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type MonitoringResources added in v0.18.0 

type MonitoringResources struct {

	// The configuration for the cluster resources used to run the processing job.
	//
	// ClusterConfig is a required field
	ClusterConfig *MonitoringClusterConfig `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

Identifies the resources to deploy for a monitoring job.

func (MonitoringResources) String added in v0.18.0 

func (s MonitoringResources) String() string

String returns the string representation

func (*MonitoringResources) Validate added in v0.18.0 

func (s *MonitoringResources) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type MonitoringS3Output added in v0.18.0 

type MonitoringS3Output struct {

	// The local path to the Amazon S3 storage location where Amazon SageMaker saves
	// the results of a monitoring job. LocalPath is an absolute path for the output
	// data.
	//
	// LocalPath is a required field
	LocalPath *string `type:"string" required:"true"`

	// Whether to upload the results of the monitoring job continuously or after
	// the job completes.
	S3UploadMode ProcessingS3UploadMode `type:"string" enum:"true"`

	// A URI that identifies the Amazon S3 storage location where Amazon SageMaker
	// saves the results of a monitoring job.
	//
	// S3Uri is a required field
	S3Uri *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Information about where and how you want to store the results of a monitoring job.

func (MonitoringS3Output) String added in v0.18.0 

func (s MonitoringS3Output) String() string

String returns the string representation

func (*MonitoringS3Output) Validate added in v0.18.0 

func (s *MonitoringS3Output) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type MonitoringScheduleConfig added in v0.18.0 

type MonitoringScheduleConfig struct {

	// Defines the monitoring job.
	//
	// MonitoringJobDefinition is a required field
	MonitoringJobDefinition *MonitoringJobDefinition `type:"structure" required:"true"`

	// Configures the monitoring schedule.
	ScheduleConfig *ScheduleConfig `type:"structure"`
	// contains filtered or unexported fields
}

Configures the monitoring schedule and defines the monitoring job.

func (MonitoringScheduleConfig) String added in v0.18.0 

func (s MonitoringScheduleConfig) String() string

String returns the string representation

func (*MonitoringScheduleConfig) Validate added in v0.18.0 

func (s *MonitoringScheduleConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type MonitoringScheduleSortKey added in v0.18.0 

type MonitoringScheduleSortKey string
const (
	MonitoringScheduleSortKeyName         MonitoringScheduleSortKey = "Name"
	MonitoringScheduleSortKeyCreationTime MonitoringScheduleSortKey = "CreationTime"
	MonitoringScheduleSortKeyStatus       MonitoringScheduleSortKey = "Status"
)

Enum values for MonitoringScheduleSortKey

func (MonitoringScheduleSortKey) MarshalValue added in v0.18.0 

func (enum MonitoringScheduleSortKey) MarshalValue() (string, error)

func (MonitoringScheduleSortKey) MarshalValueBuf added in v0.18.0 

func (enum MonitoringScheduleSortKey) MarshalValueBuf(b []byte) ([]byte, error)

type MonitoringScheduleSummary added in v0.18.0 

type MonitoringScheduleSummary struct {

	// The creation time of the monitoring schedule.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The name of the endpoint using the monitoring schedule.
	EndpointName *string `type:"string"`

	// The last time the monitoring schedule was modified.
	//
	// LastModifiedTime is a required field
	LastModifiedTime *time.Time `type:"timestamp" required:"true"`

	// The Amazon Resource Name (ARN) of the monitoring schedule.
	//
	// MonitoringScheduleArn is a required field
	MonitoringScheduleArn *string `type:"string" required:"true"`

	// The name of the monitoring schedule.
	//
	// MonitoringScheduleName is a required field
	MonitoringScheduleName *string `min:"1" type:"string" required:"true"`

	// The status of the monitoring schedule.
	//
	// MonitoringScheduleStatus is a required field
	MonitoringScheduleStatus ScheduleStatus `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Summarizes the monitoring schedule.

func (MonitoringScheduleSummary) String added in v0.18.0 

func (s MonitoringScheduleSummary) String() string

String returns the string representation

type MonitoringStatisticsResource added in v0.18.0 

type MonitoringStatisticsResource struct {

	// The Amazon S3 URI for the statistics resource.
	S3Uri *string `type:"string"`
	// contains filtered or unexported fields
}

The statistics resource for a monitoring job.

func (MonitoringStatisticsResource) String added in v0.18.0 

func (s MonitoringStatisticsResource) String() string

String returns the string representation

type MonitoringStoppingCondition added in v0.18.0 

type MonitoringStoppingCondition struct {

	// The maximum runtime allowed in seconds.
	//
	// MaxRuntimeInSeconds is a required field
	MaxRuntimeInSeconds *int64 `min:"1" type:"integer" required:"true"`
	// contains filtered or unexported fields
}

A time limit for how long the monitoring job is allowed to run before stopping.

func (MonitoringStoppingCondition) String added in v0.18.0 

func (s MonitoringStoppingCondition) String() string

String returns the string representation

func (*MonitoringStoppingCondition) Validate added in v0.18.0 

func (s *MonitoringStoppingCondition) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type NestedFilters added in v0.6.0 

type NestedFilters struct {

	// A list of filters. Each filter acts on a property. Filters must contain at
	// least one Filters value. For example, a NestedFilters call might include
	// a filter on the PropertyName parameter of the InputDataConfig property: InputDataConfig.DataSource.S3DataSource.S3Uri.
	//
	// Filters is a required field
	Filters []Filter `min:"1" type:"list" required:"true"`

	// The name of the property to use in the nested filters. The value must match
	// a listed property name, such as InputDataConfig.
	//
	// NestedPropertyName is a required field
	NestedPropertyName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

A list of nested Filter objects. A resource must satisfy the conditions of all filters to be included in the results returned from the Search API.

For example, to filter on a training job's InputDataConfig property with a specific channel name and S3Uri prefix, define the following filters:

  • '{Name:"InputDataConfig.ChannelName", "Operator":"Equals", "Value":"train"}',

  • '{Name:"InputDataConfig.DataSource.S3DataSource.S3Uri", "Operator":"Contains", "Value":"mybucket/catdata"}'

func (NestedFilters) String added in v0.6.0 

func (s NestedFilters) String() string

String returns the string representation

func (*NestedFilters) Validate added in v0.6.0 

func (s *NestedFilters) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type NetworkConfig added in v0.18.0 

type NetworkConfig struct {

	// Whether to encrypt all communications between distributed processing jobs.
	// Choose True to encrypt communications. Encryption provides greater security
	// for distributed processing jobs, but the processing might take longer.
	EnableInterContainerTrafficEncryption *bool `type:"boolean"`

	// Whether to allow inbound and outbound network calls to and from the containers
	// used for the processing job.
	EnableNetworkIsolation *bool `type:"boolean"`

	// Specifies a VPC that your training jobs and hosted models have access to.
	// Control access to and from your training and model containers by configuring
	// the VPC. For more information, see Protect Endpoints by Using an Amazon Virtual
	// Private Cloud (https://docs.aws.amazon.com/sagemaker/latest/dg/host-vpc.html)
	// and Protect Training Jobs by Using an Amazon Virtual Private Cloud (https://docs.aws.amazon.com/sagemaker/latest/dg/train-vpc.html).
	VpcConfig *VpcConfig `type:"structure"`
	// contains filtered or unexported fields
}

Networking options for a job, such as network traffic encryption between containers, whether to allow inbound and outbound network calls to and from containers, and the VPC subnets and security groups to use for VPC-enabled jobs.

func (NetworkConfig) String added in v0.18.0 

func (s NetworkConfig) String() string

String returns the string representation

func (*NetworkConfig) Validate added in v0.18.0 

func (s *NetworkConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type NotebookInstanceAcceleratorType added in v0.6.0 

type NotebookInstanceAcceleratorType string
const (
	NotebookInstanceAcceleratorTypeMlEia1Medium NotebookInstanceAcceleratorType = "ml.eia1.medium"
	NotebookInstanceAcceleratorTypeMlEia1Large  NotebookInstanceAcceleratorType = "ml.eia1.large"
	NotebookInstanceAcceleratorTypeMlEia1Xlarge NotebookInstanceAcceleratorType = "ml.eia1.xlarge"
	NotebookInstanceAcceleratorTypeMlEia2Medium NotebookInstanceAcceleratorType = "ml.eia2.medium"
	NotebookInstanceAcceleratorTypeMlEia2Large  NotebookInstanceAcceleratorType = "ml.eia2.large"
	NotebookInstanceAcceleratorTypeMlEia2Xlarge NotebookInstanceAcceleratorType = "ml.eia2.xlarge"
)

Enum values for NotebookInstanceAcceleratorType

func (NotebookInstanceAcceleratorType) MarshalValue added in v0.6.0 

func (enum NotebookInstanceAcceleratorType) MarshalValue() (string, error)

func (NotebookInstanceAcceleratorType) MarshalValueBuf added in v0.6.0 

func (enum NotebookInstanceAcceleratorType) MarshalValueBuf(b []byte) ([]byte, error)

type NotebookInstanceLifecycleConfigSortKey added in v0.4.0 

type NotebookInstanceLifecycleConfigSortKey string
const (
	NotebookInstanceLifecycleConfigSortKeyName             NotebookInstanceLifecycleConfigSortKey = "Name"
	NotebookInstanceLifecycleConfigSortKeyCreationTime     NotebookInstanceLifecycleConfigSortKey = "CreationTime"
	NotebookInstanceLifecycleConfigSortKeyLastModifiedTime NotebookInstanceLifecycleConfigSortKey = "LastModifiedTime"
)

Enum values for NotebookInstanceLifecycleConfigSortKey

func (NotebookInstanceLifecycleConfigSortKey) MarshalValue added in v0.4.0 

func (enum NotebookInstanceLifecycleConfigSortKey) MarshalValue() (string, error)

func (NotebookInstanceLifecycleConfigSortKey) MarshalValueBuf added in v0.4.0 

func (enum NotebookInstanceLifecycleConfigSortKey) MarshalValueBuf(b []byte) ([]byte, error)

type NotebookInstanceLifecycleConfigSortOrder added in v0.4.0 

type NotebookInstanceLifecycleConfigSortOrder string
const (
	NotebookInstanceLifecycleConfigSortOrderAscending  NotebookInstanceLifecycleConfigSortOrder = "Ascending"
	NotebookInstanceLifecycleConfigSortOrderDescending NotebookInstanceLifecycleConfigSortOrder = "Descending"
)

Enum values for NotebookInstanceLifecycleConfigSortOrder

func (NotebookInstanceLifecycleConfigSortOrder) MarshalValue added in v0.4.0 

func (enum NotebookInstanceLifecycleConfigSortOrder) MarshalValue() (string, error)

func (NotebookInstanceLifecycleConfigSortOrder) MarshalValueBuf added in v0.4.0 

func (enum NotebookInstanceLifecycleConfigSortOrder) MarshalValueBuf(b []byte) ([]byte, error)

type NotebookInstanceLifecycleConfigSummary added in v0.4.0 

type NotebookInstanceLifecycleConfigSummary struct {

	// A timestamp that tells when the lifecycle configuration was created.
	CreationTime *time.Time `type:"timestamp"`

	// A timestamp that tells when the lifecycle configuration was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the lifecycle configuration.
	//
	// NotebookInstanceLifecycleConfigArn is a required field
	NotebookInstanceLifecycleConfigArn *string `type:"string" required:"true"`

	// The name of the lifecycle configuration.
	//
	// NotebookInstanceLifecycleConfigName is a required field
	NotebookInstanceLifecycleConfigName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Provides a summary of a notebook instance lifecycle configuration.

func (NotebookInstanceLifecycleConfigSummary) String added in v0.4.0 

func (s NotebookInstanceLifecycleConfigSummary) String() string

String returns the string representation

type NotebookInstanceLifecycleHook added in v0.4.0 

type NotebookInstanceLifecycleHook struct {

	// A base64-encoded string that contains a shell script for a notebook instance
	// lifecycle configuration.
	Content *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

Contains the notebook instance lifecycle configuration script.

Each lifecycle configuration script has a limit of 16384 characters.

The value of the $PATH environment variable that is available to both scripts is /sbin:bin:/usr/sbin:/usr/bin.

View CloudWatch Logs for notebook instance lifecycle configurations in log group /aws/sagemaker/NotebookInstances in log stream [notebook-instance-name]/[LifecycleConfigHook].

Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.

For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance (https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html).

func (NotebookInstanceLifecycleHook) String added in v0.4.0 

func (s NotebookInstanceLifecycleHook) String() string

String returns the string representation

func (*NotebookInstanceLifecycleHook) Validate added in v0.4.0 

func (s *NotebookInstanceLifecycleHook) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type NotebookInstanceSortKey 

type NotebookInstanceSortKey string
const (
	NotebookInstanceSortKeyName         NotebookInstanceSortKey = "Name"
	NotebookInstanceSortKeyCreationTime NotebookInstanceSortKey = "CreationTime"
	NotebookInstanceSortKeyStatus       NotebookInstanceSortKey = "Status"
)

Enum values for NotebookInstanceSortKey

func (NotebookInstanceSortKey) MarshalValue added in v0.3.0 

func (enum NotebookInstanceSortKey) MarshalValue() (string, error)

func (NotebookInstanceSortKey) MarshalValueBuf added in v0.3.0 

func (enum NotebookInstanceSortKey) MarshalValueBuf(b []byte) ([]byte, error)

type NotebookInstanceSortOrder 

type NotebookInstanceSortOrder string
const (
	NotebookInstanceSortOrderAscending  NotebookInstanceSortOrder = "Ascending"
	NotebookInstanceSortOrderDescending NotebookInstanceSortOrder = "Descending"
)

Enum values for NotebookInstanceSortOrder

func (NotebookInstanceSortOrder) MarshalValue added in v0.3.0 

func (enum NotebookInstanceSortOrder) MarshalValue() (string, error)

func (NotebookInstanceSortOrder) MarshalValueBuf added in v0.3.0 

func (enum NotebookInstanceSortOrder) MarshalValueBuf(b []byte) ([]byte, error)

type NotebookInstanceStatus 

type NotebookInstanceStatus string
const (
	NotebookInstanceStatusPending   NotebookInstanceStatus = "Pending"
	NotebookInstanceStatusInService NotebookInstanceStatus = "InService"
	NotebookInstanceStatusStopping  NotebookInstanceStatus = "Stopping"
	NotebookInstanceStatusStopped   NotebookInstanceStatus = "Stopped"
	NotebookInstanceStatusFailed    NotebookInstanceStatus = "Failed"
	NotebookInstanceStatusDeleting  NotebookInstanceStatus = "Deleting"
	NotebookInstanceStatusUpdating  NotebookInstanceStatus = "Updating"
)

Enum values for NotebookInstanceStatus

func (NotebookInstanceStatus) MarshalValue added in v0.3.0 

func (enum NotebookInstanceStatus) MarshalValue() (string, error)

func (NotebookInstanceStatus) MarshalValueBuf added in v0.3.0 

func (enum NotebookInstanceStatus) MarshalValueBuf(b []byte) ([]byte, error)

type NotebookInstanceSummary 

type NotebookInstanceSummary struct {

	// An array of up to three Git repositories associated with the notebook instance.
	// These can be either the names of Git repositories stored as resources in
	// your account, or the URL of Git repositories in AWS CodeCommit (https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html)
	// or in any other Git repository. These repositories are cloned at the same
	// level as the default repository of your notebook instance. For more information,
	// see Associating Git Repositories with Amazon SageMaker Notebook Instances
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html).
	AdditionalCodeRepositories []string `type:"list"`

	// A timestamp that shows when the notebook instance was created.
	CreationTime *time.Time `type:"timestamp"`

	// The Git repository associated with the notebook instance as its default code
	// repository. This can be either the name of a Git repository stored as a resource
	// in your account, or the URL of a Git repository in AWS CodeCommit (https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html)
	// or in any other Git repository. When you open a notebook instance, it opens
	// in the directory that contains this repository. For more information, see
	// Associating Git Repositories with Amazon SageMaker Notebook Instances (https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html).
	DefaultCodeRepository *string `min:"1" type:"string"`

	// The type of ML compute instance that the notebook instance is running on.
	InstanceType InstanceType `type:"string" enum:"true"`

	// A timestamp that shows when the notebook instance was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the notebook instance.
	//
	// NotebookInstanceArn is a required field
	NotebookInstanceArn *string `type:"string" required:"true"`

	// The name of a notebook instance lifecycle configuration associated with this
	// notebook instance.
	//
	// For information about notebook instance lifestyle configurations, see Step
	// 2.1: (Optional) Customize a Notebook Instance (https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html).
	NotebookInstanceLifecycleConfigName *string `type:"string"`

	// The name of the notebook instance that you want a summary for.
	//
	// NotebookInstanceName is a required field
	NotebookInstanceName *string `type:"string" required:"true"`

	// The status of the notebook instance.
	NotebookInstanceStatus NotebookInstanceStatus `type:"string" enum:"true"`

	// The URL that you use to connect to the Jupyter instance running in your notebook
	// instance.
	Url *string `type:"string"`
	// contains filtered or unexported fields
}

Provides summary information for an Amazon SageMaker notebook instance.

func (NotebookInstanceSummary) String 

func (s NotebookInstanceSummary) String() string

String returns the string representation

type NotebookOutputOption added in v0.18.0 

type NotebookOutputOption string
const (
	NotebookOutputOptionAllowed  NotebookOutputOption = "Allowed"
	NotebookOutputOptionDisabled NotebookOutputOption = "Disabled"
)

Enum values for NotebookOutputOption

func (NotebookOutputOption) MarshalValue added in v0.18.0 

func (enum NotebookOutputOption) MarshalValue() (string, error)

func (NotebookOutputOption) MarshalValueBuf added in v0.18.0 

func (enum NotebookOutputOption) MarshalValueBuf(b []byte) ([]byte, error)

type NotificationConfiguration added in v0.9.0 

type NotificationConfiguration struct {

	// The ARN for the SNS topic to which notifications should be published.
	NotificationTopicArn *string `type:"string"`
	// contains filtered or unexported fields
}

Configures SNS notifications of available or expiring work items for work teams.

func (NotificationConfiguration) String added in v0.9.0 

func (s NotificationConfiguration) String() string

String returns the string representation

type ObjectiveStatus added in v0.5.0 

type ObjectiveStatus string
const (
	ObjectiveStatusSucceeded ObjectiveStatus = "Succeeded"
	ObjectiveStatusPending   ObjectiveStatus = "Pending"
	ObjectiveStatusFailed    ObjectiveStatus = "Failed"
)

Enum values for ObjectiveStatus

func (ObjectiveStatus) MarshalValue added in v0.5.0 

func (enum ObjectiveStatus) MarshalValue() (string, error)

func (ObjectiveStatus) MarshalValueBuf added in v0.5.0 

func (enum ObjectiveStatus) MarshalValueBuf(b []byte) ([]byte, error)

type ObjectiveStatusCounters added in v0.5.0 

type ObjectiveStatusCounters struct {

	// The number of training jobs whose final objective metric was not evaluated
	// and used in the hyperparameter tuning process. This typically occurs when
	// the training job failed or did not emit an objective metric.
	Failed *int64 `type:"integer"`

	// The number of training jobs that are in progress and pending evaluation of
	// their final objective metric.
	Pending *int64 `type:"integer"`

	// The number of training jobs whose final objective metric was evaluated by
	// the hyperparameter tuning job and used in the hyperparameter tuning process.
	Succeeded *int64 `type:"integer"`
	// contains filtered or unexported fields
}

Specifies the number of training jobs that this hyperparameter tuning job launched, categorized by the status of their objective metric. The objective metric status shows whether the final objective metric for the training job has been evaluated by the tuning job and used in the hyperparameter tuning process.

func (ObjectiveStatusCounters) String added in v0.5.0 

func (s ObjectiveStatusCounters) String() string

String returns the string representation

type Operator added in v0.6.0 

type Operator string
const (
	OperatorEquals               Operator = "Equals"
	OperatorNotEquals            Operator = "NotEquals"
	OperatorGreaterThan          Operator = "GreaterThan"
	OperatorGreaterThanOrEqualTo Operator = "GreaterThanOrEqualTo"
	OperatorLessThan             Operator = "LessThan"
	OperatorLessThanOrEqualTo    Operator = "LessThanOrEqualTo"
	OperatorContains             Operator = "Contains"
	OperatorExists               Operator = "Exists"
	OperatorNotExists            Operator = "NotExists"
	OperatorIn                   Operator = "In"
)

Enum values for Operator

func (Operator) MarshalValue added in v0.6.0 

func (enum Operator) MarshalValue() (string, error)

func (Operator) MarshalValueBuf added in v0.6.0 

func (enum Operator) MarshalValueBuf(b []byte) ([]byte, error)

type OrderKey 

type OrderKey string
const (
	OrderKeyAscending  OrderKey = "Ascending"
	OrderKeyDescending OrderKey = "Descending"
)

Enum values for OrderKey

func (OrderKey) MarshalValue added in v0.3.0 

func (enum OrderKey) MarshalValue() (string, error)

func (OrderKey) MarshalValueBuf added in v0.3.0 

func (enum OrderKey) MarshalValueBuf(b []byte) ([]byte, error)

type OutputConfig added in v0.6.0 

type OutputConfig struct {

	// Identifies the S3 path where you want Amazon SageMaker to store the model
	// artifacts. For example, s3://bucket-name/key-name-prefix.
	//
	// S3OutputLocation is a required field
	S3OutputLocation *string `type:"string" required:"true"`

	// Identifies the device that you want to run your model on after it has been
	// compiled. For example: ml_c5.
	//
	// TargetDevice is a required field
	TargetDevice TargetDevice `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Contains information about the output location for the compiled model and the device (target) that the model runs on.

func (OutputConfig) String added in v0.6.0 

func (s OutputConfig) String() string

String returns the string representation

func (*OutputConfig) Validate added in v0.6.0 

func (s *OutputConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type OutputDataConfig 

type OutputDataConfig struct {

	// The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to
	// encrypt the model artifacts at rest using Amazon S3 server-side encryption.
	// The KmsKeyId can be any of the following formats:
	//
	//    * // KMS Key ID "1234abcd-12ab-34cd-56ef-1234567890ab"
	//
	//    * // Amazon Resource Name (ARN) of a KMS Key "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
	//
	//    * // KMS Key Alias "alias/ExampleAlias"
	//
	//    * // Amazon Resource Name (ARN) of a KMS Key Alias "arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
	//
	// If you use a KMS key ID or an alias of your master key, the Amazon SageMaker
	// execution role must include permissions to call kms:Encrypt. If you don't
	// provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon
	// S3 for your role's account. Amazon SageMaker uses server-side encryption
	// with KMS-managed keys for OutputDataConfig. If you use a bucket policy with
	// an s3:PutObject permission that only allows objects with server-side encryption,
	// set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For
	// more information, see KMS-Managed Encryption Keys (https://docs.aws.amazon.com/AmazonS3/latest/dev/UsingKMSEncryption.html)
	// in the Amazon Simple Storage Service Developer Guide.
	//
	// The KMS key policy must grant permission to the IAM role that you specify
	// in your CreateTrainingJob, CreateTransformJob, or CreateHyperParameterTuningJob
	// requests. For more information, see Using Key Policies in AWS KMS (http://docs.aws.amazon.com/kms/latest/developerguide/key-policies.html)
	// in the AWS Key Management Service Developer Guide.
	KmsKeyId *string `type:"string"`

	// Identifies the S3 path where you want Amazon SageMaker to store the model
	// artifacts. For example, s3://bucket-name/key-name-prefix.
	//
	// S3OutputPath is a required field
	S3OutputPath *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Provides information about how to store model training results (model artifacts).

func (OutputDataConfig) String 

func (s OutputDataConfig) String() string

String returns the string representation

func (*OutputDataConfig) Validate 

func (s *OutputDataConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ParameterRange added in v0.6.0 

type ParameterRange struct {

	// A CategoricalParameterRangeSpecification object that defines the possible
	// values for a categorical hyperparameter.
	CategoricalParameterRangeSpecification *CategoricalParameterRangeSpecification `type:"structure"`

	// A ContinuousParameterRangeSpecification object that defines the possible
	// values for a continuous hyperparameter.
	ContinuousParameterRangeSpecification *ContinuousParameterRangeSpecification `type:"structure"`

	// A IntegerParameterRangeSpecification object that defines the possible values
	// for an integer hyperparameter.
	IntegerParameterRangeSpecification *IntegerParameterRangeSpecification `type:"structure"`
	// contains filtered or unexported fields
}

Defines the possible values for categorical, continuous, and integer hyperparameters to be used by an algorithm.

func (ParameterRange) String added in v0.6.0 

func (s ParameterRange) String() string

String returns the string representation

func (*ParameterRange) Validate added in v0.6.0 

func (s *ParameterRange) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ParameterRanges added in v0.5.0 

type ParameterRanges struct {

	// The array of CategoricalParameterRange objects that specify ranges of categorical
	// hyperparameters that a hyperparameter tuning job searches.
	CategoricalParameterRanges []CategoricalParameterRange `type:"list"`

	// The array of ContinuousParameterRange objects that specify ranges of continuous
	// hyperparameters that a hyperparameter tuning job searches.
	ContinuousParameterRanges []ContinuousParameterRange `type:"list"`

	// The array of IntegerParameterRange objects that specify ranges of integer
	// hyperparameters that a hyperparameter tuning job searches.
	IntegerParameterRanges []IntegerParameterRange `type:"list"`
	// contains filtered or unexported fields
}

Specifies ranges of integer, continuous, and categorical hyperparameters that a hyperparameter tuning job searches. The hyperparameter tuning job launches training jobs with hyperparameter values within these ranges to find the combination of values that result in the training job with the best performance as measured by the objective metric of the hyperparameter tuning job.

You can specify a maximum of 20 hyperparameters that a hyperparameter tuning job can search over. Every possible value of a categorical parameter range counts against this limit.

func (ParameterRanges) String added in v0.5.0 

func (s ParameterRanges) String() string

String returns the string representation

func (*ParameterRanges) Validate added in v0.5.0 

func (s *ParameterRanges) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ParameterType added in v0.6.0 

type ParameterType string
const (
	ParameterTypeInteger     ParameterType = "Integer"
	ParameterTypeContinuous  ParameterType = "Continuous"
	ParameterTypeCategorical ParameterType = "Categorical"
	ParameterTypeFreeText    ParameterType = "FreeText"
)

Enum values for ParameterType

func (ParameterType) MarshalValue added in v0.6.0 

func (enum ParameterType) MarshalValue() (string, error)

func (ParameterType) MarshalValueBuf added in v0.6.0 

func (enum ParameterType) MarshalValueBuf(b []byte) ([]byte, error)

type Parent added in v0.18.0 

type Parent struct {

	// The name of the experiment.
	ExperimentName *string `min:"1" type:"string"`

	// The name of the trial.
	TrialName *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

The trial that a trial component is associated with and the experiment the trial is part of. A component might not be associated with a trial. A component can be associated with multiple trials.

func (Parent) String added in v0.18.0 

func (s Parent) String() string

String returns the string representation

type ParentHyperParameterTuningJob added in v0.6.0 

type ParentHyperParameterTuningJob struct {

	// The name of the hyperparameter tuning job to be used as a starting point
	// for a new hyperparameter tuning job.
	HyperParameterTuningJobName *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

A previously completed or stopped hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.

func (ParentHyperParameterTuningJob) String added in v0.6.0 

func (s ParentHyperParameterTuningJob) String() string

String returns the string representation

func (*ParentHyperParameterTuningJob) Validate added in v0.6.0 

func (s *ParentHyperParameterTuningJob) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ProblemType added in v0.18.0 

type ProblemType string
const (
	ProblemTypeBinaryClassification     ProblemType = "BinaryClassification"
	ProblemTypeMulticlassClassification ProblemType = "MulticlassClassification"
	ProblemTypeRegression               ProblemType = "Regression"
)

Enum values for ProblemType

func (ProblemType) MarshalValue added in v0.18.0 

func (enum ProblemType) MarshalValue() (string, error)

func (ProblemType) MarshalValueBuf added in v0.18.0 

func (enum ProblemType) MarshalValueBuf(b []byte) ([]byte, error)

type ProcessingClusterConfig added in v0.18.0 

type ProcessingClusterConfig struct {

	// The number of ML compute instances to use in the processing job. For distributed
	// processing jobs, specify a value greater than 1. The default value is 1.
	//
	// InstanceCount is a required field
	InstanceCount *int64 `min:"1" type:"integer" required:"true"`

	// The ML compute instance type for the processing job.
	//
	// InstanceType is a required field
	InstanceType ProcessingInstanceType `type:"string" required:"true" enum:"true"`

	// The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to
	// encrypt data on the storage volume attached to the ML compute instance(s)
	// that run the processing job.
	VolumeKmsKeyId *string `type:"string"`

	// The size of the ML storage volume in gigabytes that you want to provision.
	// You must specify sufficient ML storage for your scenario.
	//
	// VolumeSizeInGB is a required field
	VolumeSizeInGB *int64 `min:"1" type:"integer" required:"true"`
	// contains filtered or unexported fields
}

Configuration for the cluster used to run a processing job.

func (ProcessingClusterConfig) String added in v0.18.0 

func (s ProcessingClusterConfig) String() string

String returns the string representation

func (*ProcessingClusterConfig) Validate added in v0.18.0 

func (s *ProcessingClusterConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ProcessingInput added in v0.18.0 

type ProcessingInput struct {

	// The name of the inputs for the processing job.
	//
	// InputName is a required field
	InputName *string `type:"string" required:"true"`

	// The S3 inputs for the processing job.
	//
	// S3Input is a required field
	S3Input *ProcessingS3Input `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

The inputs for a processing job.

func (ProcessingInput) String added in v0.18.0 

func (s ProcessingInput) String() string

String returns the string representation

func (*ProcessingInput) Validate added in v0.18.0 

func (s *ProcessingInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ProcessingInstanceType added in v0.18.0 

type ProcessingInstanceType string
const (
	ProcessingInstanceTypeMlT3Medium   ProcessingInstanceType = "ml.t3.medium"
	ProcessingInstanceTypeMlT3Large    ProcessingInstanceType = "ml.t3.large"
	ProcessingInstanceTypeMlT3Xlarge   ProcessingInstanceType = "ml.t3.xlarge"
	ProcessingInstanceTypeMlT32xlarge  ProcessingInstanceType = "ml.t3.2xlarge"
	ProcessingInstanceTypeMlM4Xlarge   ProcessingInstanceType = "ml.m4.xlarge"
	ProcessingInstanceTypeMlM42xlarge  ProcessingInstanceType = "ml.m4.2xlarge"
	ProcessingInstanceTypeMlM44xlarge  ProcessingInstanceType = "ml.m4.4xlarge"
	ProcessingInstanceTypeMlM410xlarge ProcessingInstanceType = "ml.m4.10xlarge"
	ProcessingInstanceTypeMlM416xlarge ProcessingInstanceType = "ml.m4.16xlarge"
	ProcessingInstanceTypeMlC4Xlarge   ProcessingInstanceType = "ml.c4.xlarge"
	ProcessingInstanceTypeMlC42xlarge  ProcessingInstanceType = "ml.c4.2xlarge"
	ProcessingInstanceTypeMlC44xlarge  ProcessingInstanceType = "ml.c4.4xlarge"
	ProcessingInstanceTypeMlC48xlarge  ProcessingInstanceType = "ml.c4.8xlarge"
	ProcessingInstanceTypeMlP2Xlarge   ProcessingInstanceType = "ml.p2.xlarge"
	ProcessingInstanceTypeMlP28xlarge  ProcessingInstanceType = "ml.p2.8xlarge"
	ProcessingInstanceTypeMlP216xlarge ProcessingInstanceType = "ml.p2.16xlarge"
	ProcessingInstanceTypeMlP32xlarge  ProcessingInstanceType = "ml.p3.2xlarge"
	ProcessingInstanceTypeMlP38xlarge  ProcessingInstanceType = "ml.p3.8xlarge"
	ProcessingInstanceTypeMlP316xlarge ProcessingInstanceType = "ml.p3.16xlarge"
	ProcessingInstanceTypeMlC5Xlarge   ProcessingInstanceType = "ml.c5.xlarge"
	ProcessingInstanceTypeMlC52xlarge  ProcessingInstanceType = "ml.c5.2xlarge"
	ProcessingInstanceTypeMlC54xlarge  ProcessingInstanceType = "ml.c5.4xlarge"
	ProcessingInstanceTypeMlC59xlarge  ProcessingInstanceType = "ml.c5.9xlarge"
	ProcessingInstanceTypeMlC518xlarge ProcessingInstanceType = "ml.c5.18xlarge"
	ProcessingInstanceTypeMlM5Large    ProcessingInstanceType = "ml.m5.large"
	ProcessingInstanceTypeMlM5Xlarge   ProcessingInstanceType = "ml.m5.xlarge"
	ProcessingInstanceTypeMlM52xlarge  ProcessingInstanceType = "ml.m5.2xlarge"
	ProcessingInstanceTypeMlM54xlarge  ProcessingInstanceType = "ml.m5.4xlarge"
	ProcessingInstanceTypeMlM512xlarge ProcessingInstanceType = "ml.m5.12xlarge"
	ProcessingInstanceTypeMlM524xlarge ProcessingInstanceType = "ml.m5.24xlarge"
	ProcessingInstanceTypeMlR5Large    ProcessingInstanceType = "ml.r5.large"
	ProcessingInstanceTypeMlR5Xlarge   ProcessingInstanceType = "ml.r5.xlarge"
	ProcessingInstanceTypeMlR52xlarge  ProcessingInstanceType = "ml.r5.2xlarge"
	ProcessingInstanceTypeMlR54xlarge  ProcessingInstanceType = "ml.r5.4xlarge"
	ProcessingInstanceTypeMlR58xlarge  ProcessingInstanceType = "ml.r5.8xlarge"
	ProcessingInstanceTypeMlR512xlarge ProcessingInstanceType = "ml.r5.12xlarge"
	ProcessingInstanceTypeMlR516xlarge ProcessingInstanceType = "ml.r5.16xlarge"
	ProcessingInstanceTypeMlR524xlarge ProcessingInstanceType = "ml.r5.24xlarge"
)

Enum values for ProcessingInstanceType

func (ProcessingInstanceType) MarshalValue added in v0.18.0 

func (enum ProcessingInstanceType) MarshalValue() (string, error)

func (ProcessingInstanceType) MarshalValueBuf added in v0.18.0 

func (enum ProcessingInstanceType) MarshalValueBuf(b []byte) ([]byte, error)

type ProcessingJob added in v0.21.0 

type ProcessingJob struct {

	// Configuration to run a processing job in a specified container image.
	AppSpecification *AppSpecification `type:"structure"`

	// The Amazon Resource Name (ARN) of the AutoML job associated with this processing
	// job.
	AutoMLJobArn *string `min:"1" type:"string"`

	// The time the processing job was created.
	CreationTime *time.Time `type:"timestamp"`

	// Sets the environment variables in the Docker container.
	Environment map[string]string `type:"map"`

	// A string, up to one KB in size, that contains metadata from the processing
	// container when the processing job exits.
	ExitMessage *string `type:"string"`

	// Configuration for the experiment.
	ExperimentConfig *ExperimentConfig `type:"structure"`

	// A string, up to one KB in size, that contains the reason a processing job
	// failed, if it failed.
	FailureReason *string `type:"string"`

	// The time the processing job was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The ARN of a monitoring schedule for an endpoint associated with this processing
	// job.
	MonitoringScheduleArn *string `type:"string"`

	// Networking options for a job, such as network traffic encryption between
	// containers, whether to allow inbound and outbound network calls to and from
	// containers, and the VPC subnets and security groups to use for VPC-enabled
	// jobs.
	NetworkConfig *NetworkConfig `type:"structure"`

	// The time that the processing job ended.
	ProcessingEndTime *time.Time `type:"timestamp"`

	// For each input, data is downloaded from S3 into the processing container
	// before the processing job begins running if "S3InputMode" is set to File.
	ProcessingInputs []ProcessingInput `type:"list"`

	// The ARN of the processing job.
	ProcessingJobArn *string `type:"string"`

	// The name of the processing job.
	ProcessingJobName *string `min:"1" type:"string"`

	// The status of the processing job.
	ProcessingJobStatus ProcessingJobStatus `type:"string" enum:"true"`

	// The output configuration for the processing job.
	ProcessingOutputConfig *ProcessingOutputConfig `type:"structure"`

	// Identifies the resources, ML compute instances, and ML storage volumes to
	// deploy for a processing job. In distributed training, you specify more than
	// one instance.
	ProcessingResources *ProcessingResources `type:"structure"`

	// The time that the processing job started.
	ProcessingStartTime *time.Time `type:"timestamp"`

	// The ARN of the role used to create the processing job.
	RoleArn *string `min:"20" type:"string"`

	// Specifies a time limit for how long the processing job is allowed to run.
	StoppingCondition *ProcessingStoppingCondition `type:"structure"`

	// An array of key-value pairs. For more information, see Using Cost Allocation
	// Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-whatURL)
	// in the AWS Billing and Cost Management User Guide.
	Tags []Tag `type:"list"`

	// The ARN of the training job associated with this processing job.
	TrainingJobArn *string `type:"string"`
	// contains filtered or unexported fields
}

An Amazon SageMaker processing job that is used to analyze data and evaluate models. For more information, see Process Data and Evaluate Models (https://docs.aws.amazon.com/sagemaker/latest/dg/processing-job.html).

func (ProcessingJob) String added in v0.21.0 

func (s ProcessingJob) String() string

String returns the string representation

type ProcessingJobStatus added in v0.18.0 

type ProcessingJobStatus string
const (
	ProcessingJobStatusInProgress ProcessingJobStatus = "InProgress"
	ProcessingJobStatusCompleted  ProcessingJobStatus = "Completed"
	ProcessingJobStatusFailed     ProcessingJobStatus = "Failed"
	ProcessingJobStatusStopping   ProcessingJobStatus = "Stopping"
	ProcessingJobStatusStopped    ProcessingJobStatus = "Stopped"
)

Enum values for ProcessingJobStatus

func (ProcessingJobStatus) MarshalValue added in v0.18.0 

func (enum ProcessingJobStatus) MarshalValue() (string, error)

func (ProcessingJobStatus) MarshalValueBuf added in v0.18.0 

func (enum ProcessingJobStatus) MarshalValueBuf(b []byte) ([]byte, error)

type ProcessingJobSummary added in v0.18.0 

type ProcessingJobSummary struct {

	// The time at which the processing job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// An optional string, up to one KB in size, that contains metadata from the
	// processing container when the processing job exits.
	ExitMessage *string `type:"string"`

	// A string, up to one KB in size, that contains the reason a processing job
	// failed, if it failed.
	FailureReason *string `type:"string"`

	// A timestamp that indicates the last time the processing job was modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The time at which the processing job completed.
	ProcessingEndTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the processing job..
	//
	// ProcessingJobArn is a required field
	ProcessingJobArn *string `type:"string" required:"true"`

	// The name of the processing job.
	//
	// ProcessingJobName is a required field
	ProcessingJobName *string `min:"1" type:"string" required:"true"`

	// The status of the processing job.
	//
	// ProcessingJobStatus is a required field
	ProcessingJobStatus ProcessingJobStatus `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Summary of information about a processing job.

func (ProcessingJobSummary) String added in v0.18.0 

func (s ProcessingJobSummary) String() string

String returns the string representation

type ProcessingOutput added in v0.18.0 

type ProcessingOutput struct {

	// The name for the processing job output.
	//
	// OutputName is a required field
	OutputName *string `type:"string" required:"true"`

	// Configuration for processing job outputs in Amazon S3.
	//
	// S3Output is a required field
	S3Output *ProcessingS3Output `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

Describes the results of a processing job.

func (ProcessingOutput) String added in v0.18.0 

func (s ProcessingOutput) String() string

String returns the string representation

func (*ProcessingOutput) Validate added in v0.18.0 

func (s *ProcessingOutput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ProcessingOutputConfig added in v0.18.0 

type ProcessingOutputConfig struct {

	// The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to
	// encrypt the processing job output. KmsKeyId can be an ID of a KMS key, ARN
	// of a KMS key, alias of a KMS key, or alias of a KMS key. The KmsKeyId is
	// applied to all outputs.
	KmsKeyId *string `type:"string"`

	// Output configuration information for a processing job.
	//
	// Outputs is a required field
	Outputs []ProcessingOutput `type:"list" required:"true"`
	// contains filtered or unexported fields
}

The output configuration for the processing job.

func (ProcessingOutputConfig) String added in v0.18.0 

func (s ProcessingOutputConfig) String() string

String returns the string representation

func (*ProcessingOutputConfig) Validate added in v0.18.0 

func (s *ProcessingOutputConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ProcessingResources added in v0.18.0 

type ProcessingResources struct {

	// The configuration for the resources in a cluster used to run the processing
	// job.
	//
	// ClusterConfig is a required field
	ClusterConfig *ProcessingClusterConfig `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.

func (ProcessingResources) String added in v0.18.0 

func (s ProcessingResources) String() string

String returns the string representation

func (*ProcessingResources) Validate added in v0.18.0 

func (s *ProcessingResources) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ProcessingS3CompressionType added in v0.18.0 

type ProcessingS3CompressionType string
const (
	ProcessingS3CompressionTypeNone ProcessingS3CompressionType = "None"
	ProcessingS3CompressionTypeGzip ProcessingS3CompressionType = "Gzip"
)

Enum values for ProcessingS3CompressionType

func (ProcessingS3CompressionType) MarshalValue added in v0.18.0 

func (enum ProcessingS3CompressionType) MarshalValue() (string, error)

func (ProcessingS3CompressionType) MarshalValueBuf added in v0.18.0 

func (enum ProcessingS3CompressionType) MarshalValueBuf(b []byte) ([]byte, error)

type ProcessingS3DataDistributionType added in v0.18.0 

type ProcessingS3DataDistributionType string
const (
	ProcessingS3DataDistributionTypeFullyReplicated ProcessingS3DataDistributionType = "FullyReplicated"
	ProcessingS3DataDistributionTypeShardedByS3key  ProcessingS3DataDistributionType = "ShardedByS3Key"
)

Enum values for ProcessingS3DataDistributionType

func (ProcessingS3DataDistributionType) MarshalValue added in v0.18.0 

func (enum ProcessingS3DataDistributionType) MarshalValue() (string, error)

func (ProcessingS3DataDistributionType) MarshalValueBuf added in v0.18.0 

func (enum ProcessingS3DataDistributionType) MarshalValueBuf(b []byte) ([]byte, error)

type ProcessingS3DataType added in v0.18.0 

type ProcessingS3DataType string
const (
	ProcessingS3DataTypeManifestFile ProcessingS3DataType = "ManifestFile"
	ProcessingS3DataTypeS3prefix     ProcessingS3DataType = "S3Prefix"
)

Enum values for ProcessingS3DataType

func (ProcessingS3DataType) MarshalValue added in v0.18.0 

func (enum ProcessingS3DataType) MarshalValue() (string, error)

func (ProcessingS3DataType) MarshalValueBuf added in v0.18.0 

func (enum ProcessingS3DataType) MarshalValueBuf(b []byte) ([]byte, error)

type ProcessingS3Input added in v0.18.0 

type ProcessingS3Input struct {

	// The local path to the Amazon S3 bucket where you want Amazon SageMaker to
	// download the inputs to run a processing job. LocalPath is an absolute path
	// to the input data.
	//
	// LocalPath is a required field
	LocalPath *string `type:"string" required:"true"`

	// Whether to use Gzip compression for Amazon S3 storage.
	S3CompressionType ProcessingS3CompressionType `type:"string" enum:"true"`

	// Whether the data stored in Amazon S3 is FullyReplicated or ShardedByS3Key.
	S3DataDistributionType ProcessingS3DataDistributionType `type:"string" enum:"true"`

	// Whether you use an S3Prefix or a ManifestFile for the data type. If you choose
	// S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects
	// with the specified key name prefix for the processing job. If you choose
	// ManifestFile, S3Uri identifies an object that is a manifest file containing
	// a list of object keys that you want Amazon SageMaker to use for the processing
	// job.
	//
	// S3DataType is a required field
	S3DataType ProcessingS3DataType `type:"string" required:"true" enum:"true"`

	// Whether to use File or Pipe input mode. In File mode, Amazon SageMaker copies
	// the data from the input source onto the local Amazon Elastic Block Store
	// (Amazon EBS) volumes before starting your training algorithm. This is the
	// most commonly used input mode. In Pipe mode, Amazon SageMaker streams input
	// data from the source directly to your algorithm without using the EBS volume.
	//
	// S3InputMode is a required field
	S3InputMode ProcessingS3InputMode `type:"string" required:"true" enum:"true"`

	// The URI for the Amazon S3 storage where you want Amazon SageMaker to download
	// the artifacts needed to run a processing job.
	//
	// S3Uri is a required field
	S3Uri *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Information about where and how you want to obtain the inputs for an processing job.

func (ProcessingS3Input) String added in v0.18.0 

func (s ProcessingS3Input) String() string

String returns the string representation

func (*ProcessingS3Input) Validate added in v0.18.0 

func (s *ProcessingS3Input) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ProcessingS3InputMode added in v0.18.0 

type ProcessingS3InputMode string
const (
	ProcessingS3InputModePipe ProcessingS3InputMode = "Pipe"
	ProcessingS3InputModeFile ProcessingS3InputMode = "File"
)

Enum values for ProcessingS3InputMode

func (ProcessingS3InputMode) MarshalValue added in v0.18.0 

func (enum ProcessingS3InputMode) MarshalValue() (string, error)

func (ProcessingS3InputMode) MarshalValueBuf added in v0.18.0 

func (enum ProcessingS3InputMode) MarshalValueBuf(b []byte) ([]byte, error)

type ProcessingS3Output added in v0.18.0 

type ProcessingS3Output struct {

	// The local path to the Amazon S3 bucket where you want Amazon SageMaker to
	// save the results of an processing job. LocalPath is an absolute path to the
	// input data.
	//
	// LocalPath is a required field
	LocalPath *string `type:"string" required:"true"`

	// Whether to upload the results of the processing job continuously or after
	// the job completes.
	//
	// S3UploadMode is a required field
	S3UploadMode ProcessingS3UploadMode `type:"string" required:"true" enum:"true"`

	// A URI that identifies the Amazon S3 bucket where you want Amazon SageMaker
	// to save the results of a processing job.
	//
	// S3Uri is a required field
	S3Uri *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Information about where and how you want to store the results of an processing job.

func (ProcessingS3Output) String added in v0.18.0 

func (s ProcessingS3Output) String() string

String returns the string representation

func (*ProcessingS3Output) Validate added in v0.18.0 

func (s *ProcessingS3Output) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ProcessingS3UploadMode added in v0.18.0 

type ProcessingS3UploadMode string
const (
	ProcessingS3UploadModeContinuous ProcessingS3UploadMode = "Continuous"
	ProcessingS3UploadModeEndOfJob   ProcessingS3UploadMode = "EndOfJob"
)

Enum values for ProcessingS3UploadMode

func (ProcessingS3UploadMode) MarshalValue added in v0.18.0 

func (enum ProcessingS3UploadMode) MarshalValue() (string, error)

func (ProcessingS3UploadMode) MarshalValueBuf added in v0.18.0 

func (enum ProcessingS3UploadMode) MarshalValueBuf(b []byte) ([]byte, error)

type ProcessingStoppingCondition added in v0.18.0 

type ProcessingStoppingCondition struct {

	// Specifies the maximum runtime in seconds.
	//
	// MaxRuntimeInSeconds is a required field
	MaxRuntimeInSeconds *int64 `min:"1" type:"integer" required:"true"`
	// contains filtered or unexported fields
}

Specifies a time limit for how long the processing job is allowed to run.

func (ProcessingStoppingCondition) String added in v0.18.0 

func (s ProcessingStoppingCondition) String() string

String returns the string representation

func (*ProcessingStoppingCondition) Validate added in v0.18.0 

func (s *ProcessingStoppingCondition) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ProductionVariant 

type ProductionVariant struct {

	// The size of the Elastic Inference (EI) instance to use for the production
	// variant. EI instances provide on-demand GPU computing for inference. For
	// more information, see Using Elastic Inference in Amazon SageMaker (https://docs.aws.amazon.com/sagemaker/latest/dg/ei.html).
	AcceleratorType ProductionVariantAcceleratorType `type:"string" enum:"true"`

	// Number of instances to launch initially.
	//
	// InitialInstanceCount is a required field
	InitialInstanceCount *int64 `min:"1" type:"integer" required:"true"`

	// Determines initial traffic distribution among all of the models that you
	// specify in the endpoint configuration. The traffic to a production variant
	// is determined by the ratio of the VariantWeight to the sum of all VariantWeight
	// values across all ProductionVariants. If unspecified, it defaults to 1.0.
	InitialVariantWeight *float64 `type:"float"`

	// The ML compute instance type.
	//
	// InstanceType is a required field
	InstanceType ProductionVariantInstanceType `type:"string" required:"true" enum:"true"`

	// The name of the model that you want to host. This is the name that you specified
	// when creating the model.
	//
	// ModelName is a required field
	ModelName *string `type:"string" required:"true"`

	// The name of the production variant.
	//
	// VariantName is a required field
	VariantName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Identifies a model that you want to host and the resources to deploy for hosting it. If you are deploying multiple models, tell Amazon SageMaker how to distribute traffic among the models by specifying variant weights.

func (ProductionVariant) String 

func (s ProductionVariant) String() string

String returns the string representation

func (*ProductionVariant) Validate 

func (s *ProductionVariant) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ProductionVariantAcceleratorType added in v0.6.0 

type ProductionVariantAcceleratorType string
const (
	ProductionVariantAcceleratorTypeMlEia1Medium ProductionVariantAcceleratorType = "ml.eia1.medium"
	ProductionVariantAcceleratorTypeMlEia1Large  ProductionVariantAcceleratorType = "ml.eia1.large"
	ProductionVariantAcceleratorTypeMlEia1Xlarge ProductionVariantAcceleratorType = "ml.eia1.xlarge"
	ProductionVariantAcceleratorTypeMlEia2Medium ProductionVariantAcceleratorType = "ml.eia2.medium"
	ProductionVariantAcceleratorTypeMlEia2Large  ProductionVariantAcceleratorType = "ml.eia2.large"
	ProductionVariantAcceleratorTypeMlEia2Xlarge ProductionVariantAcceleratorType = "ml.eia2.xlarge"
)

Enum values for ProductionVariantAcceleratorType

func (ProductionVariantAcceleratorType) MarshalValue added in v0.6.0 

func (enum ProductionVariantAcceleratorType) MarshalValue() (string, error)

func (ProductionVariantAcceleratorType) MarshalValueBuf added in v0.6.0 

func (enum ProductionVariantAcceleratorType) MarshalValueBuf(b []byte) ([]byte, error)

type ProductionVariantInstanceType 

type ProductionVariantInstanceType string
const (
	ProductionVariantInstanceTypeMlT2Medium     ProductionVariantInstanceType = "ml.t2.medium"
	ProductionVariantInstanceTypeMlT2Large      ProductionVariantInstanceType = "ml.t2.large"
	ProductionVariantInstanceTypeMlT2Xlarge     ProductionVariantInstanceType = "ml.t2.xlarge"
	ProductionVariantInstanceTypeMlT22xlarge    ProductionVariantInstanceType = "ml.t2.2xlarge"
	ProductionVariantInstanceTypeMlM4Xlarge     ProductionVariantInstanceType = "ml.m4.xlarge"
	ProductionVariantInstanceTypeMlM42xlarge    ProductionVariantInstanceType = "ml.m4.2xlarge"
	ProductionVariantInstanceTypeMlM44xlarge    ProductionVariantInstanceType = "ml.m4.4xlarge"
	ProductionVariantInstanceTypeMlM410xlarge   ProductionVariantInstanceType = "ml.m4.10xlarge"
	ProductionVariantInstanceTypeMlM416xlarge   ProductionVariantInstanceType = "ml.m4.16xlarge"
	ProductionVariantInstanceTypeMlM5Large      ProductionVariantInstanceType = "ml.m5.large"
	ProductionVariantInstanceTypeMlM5Xlarge     ProductionVariantInstanceType = "ml.m5.xlarge"
	ProductionVariantInstanceTypeMlM52xlarge    ProductionVariantInstanceType = "ml.m5.2xlarge"
	ProductionVariantInstanceTypeMlM54xlarge    ProductionVariantInstanceType = "ml.m5.4xlarge"
	ProductionVariantInstanceTypeMlM512xlarge   ProductionVariantInstanceType = "ml.m5.12xlarge"
	ProductionVariantInstanceTypeMlM524xlarge   ProductionVariantInstanceType = "ml.m5.24xlarge"
	ProductionVariantInstanceTypeMlM5dLarge     ProductionVariantInstanceType = "ml.m5d.large"
	ProductionVariantInstanceTypeMlM5dXlarge    ProductionVariantInstanceType = "ml.m5d.xlarge"
	ProductionVariantInstanceTypeMlM5d2xlarge   ProductionVariantInstanceType = "ml.m5d.2xlarge"
	ProductionVariantInstanceTypeMlM5d4xlarge   ProductionVariantInstanceType = "ml.m5d.4xlarge"
	ProductionVariantInstanceTypeMlM5d12xlarge  ProductionVariantInstanceType = "ml.m5d.12xlarge"
	ProductionVariantInstanceTypeMlM5d24xlarge  ProductionVariantInstanceType = "ml.m5d.24xlarge"
	ProductionVariantInstanceTypeMlC4Large      ProductionVariantInstanceType = "ml.c4.large"
	ProductionVariantInstanceTypeMlC4Xlarge     ProductionVariantInstanceType = "ml.c4.xlarge"
	ProductionVariantInstanceTypeMlC42xlarge    ProductionVariantInstanceType = "ml.c4.2xlarge"
	ProductionVariantInstanceTypeMlC44xlarge    ProductionVariantInstanceType = "ml.c4.4xlarge"
	ProductionVariantInstanceTypeMlC48xlarge    ProductionVariantInstanceType = "ml.c4.8xlarge"
	ProductionVariantInstanceTypeMlP2Xlarge     ProductionVariantInstanceType = "ml.p2.xlarge"
	ProductionVariantInstanceTypeMlP28xlarge    ProductionVariantInstanceType = "ml.p2.8xlarge"
	ProductionVariantInstanceTypeMlP216xlarge   ProductionVariantInstanceType = "ml.p2.16xlarge"
	ProductionVariantInstanceTypeMlP32xlarge    ProductionVariantInstanceType = "ml.p3.2xlarge"
	ProductionVariantInstanceTypeMlP38xlarge    ProductionVariantInstanceType = "ml.p3.8xlarge"
	ProductionVariantInstanceTypeMlP316xlarge   ProductionVariantInstanceType = "ml.p3.16xlarge"
	ProductionVariantInstanceTypeMlC5Large      ProductionVariantInstanceType = "ml.c5.large"
	ProductionVariantInstanceTypeMlC5Xlarge     ProductionVariantInstanceType = "ml.c5.xlarge"
	ProductionVariantInstanceTypeMlC52xlarge    ProductionVariantInstanceType = "ml.c5.2xlarge"
	ProductionVariantInstanceTypeMlC54xlarge    ProductionVariantInstanceType = "ml.c5.4xlarge"
	ProductionVariantInstanceTypeMlC59xlarge    ProductionVariantInstanceType = "ml.c5.9xlarge"
	ProductionVariantInstanceTypeMlC518xlarge   ProductionVariantInstanceType = "ml.c5.18xlarge"
	ProductionVariantInstanceTypeMlC5dLarge     ProductionVariantInstanceType = "ml.c5d.large"
	ProductionVariantInstanceTypeMlC5dXlarge    ProductionVariantInstanceType = "ml.c5d.xlarge"
	ProductionVariantInstanceTypeMlC5d2xlarge   ProductionVariantInstanceType = "ml.c5d.2xlarge"
	ProductionVariantInstanceTypeMlC5d4xlarge   ProductionVariantInstanceType = "ml.c5d.4xlarge"
	ProductionVariantInstanceTypeMlC5d9xlarge   ProductionVariantInstanceType = "ml.c5d.9xlarge"
	ProductionVariantInstanceTypeMlC5d18xlarge  ProductionVariantInstanceType = "ml.c5d.18xlarge"
	ProductionVariantInstanceTypeMlG4dnXlarge   ProductionVariantInstanceType = "ml.g4dn.xlarge"
	ProductionVariantInstanceTypeMlG4dn2xlarge  ProductionVariantInstanceType = "ml.g4dn.2xlarge"
	ProductionVariantInstanceTypeMlG4dn4xlarge  ProductionVariantInstanceType = "ml.g4dn.4xlarge"
	ProductionVariantInstanceTypeMlG4dn8xlarge  ProductionVariantInstanceType = "ml.g4dn.8xlarge"
	ProductionVariantInstanceTypeMlG4dn12xlarge ProductionVariantInstanceType = "ml.g4dn.12xlarge"
	ProductionVariantInstanceTypeMlG4dn16xlarge ProductionVariantInstanceType = "ml.g4dn.16xlarge"
	ProductionVariantInstanceTypeMlR5Large      ProductionVariantInstanceType = "ml.r5.large"
	ProductionVariantInstanceTypeMlR5Xlarge     ProductionVariantInstanceType = "ml.r5.xlarge"
	ProductionVariantInstanceTypeMlR52xlarge    ProductionVariantInstanceType = "ml.r5.2xlarge"
	ProductionVariantInstanceTypeMlR54xlarge    ProductionVariantInstanceType = "ml.r5.4xlarge"
	ProductionVariantInstanceTypeMlR512xlarge   ProductionVariantInstanceType = "ml.r5.12xlarge"
	ProductionVariantInstanceTypeMlR524xlarge   ProductionVariantInstanceType = "ml.r5.24xlarge"
	ProductionVariantInstanceTypeMlR5dLarge     ProductionVariantInstanceType = "ml.r5d.large"
	ProductionVariantInstanceTypeMlR5dXlarge    ProductionVariantInstanceType = "ml.r5d.xlarge"
	ProductionVariantInstanceTypeMlR5d2xlarge   ProductionVariantInstanceType = "ml.r5d.2xlarge"
	ProductionVariantInstanceTypeMlR5d4xlarge   ProductionVariantInstanceType = "ml.r5d.4xlarge"
	ProductionVariantInstanceTypeMlR5d12xlarge  ProductionVariantInstanceType = "ml.r5d.12xlarge"
	ProductionVariantInstanceTypeMlR5d24xlarge  ProductionVariantInstanceType = "ml.r5d.24xlarge"
	ProductionVariantInstanceTypeMlInf1Xlarge   ProductionVariantInstanceType = "ml.inf1.xlarge"
	ProductionVariantInstanceTypeMlInf12xlarge  ProductionVariantInstanceType = "ml.inf1.2xlarge"
	ProductionVariantInstanceTypeMlInf16xlarge  ProductionVariantInstanceType = "ml.inf1.6xlarge"
	ProductionVariantInstanceTypeMlInf124xlarge ProductionVariantInstanceType = "ml.inf1.24xlarge"
)

Enum values for ProductionVariantInstanceType

func (ProductionVariantInstanceType) MarshalValue added in v0.3.0 

func (enum ProductionVariantInstanceType) MarshalValue() (string, error)

func (ProductionVariantInstanceType) MarshalValueBuf added in v0.3.0 

func (enum ProductionVariantInstanceType) MarshalValueBuf(b []byte) ([]byte, error)

type ProductionVariantSummary 

type ProductionVariantSummary struct {

	// The number of instances associated with the variant.
	CurrentInstanceCount *int64 `min:"1" type:"integer"`

	// The weight associated with the variant.
	CurrentWeight *float64 `type:"float"`

	// An array of DeployedImage objects that specify the Amazon EC2 Container Registry
	// paths of the inference images deployed on instances of this ProductionVariant.
	DeployedImages []DeployedImage `type:"list"`

	// The number of instances requested in the UpdateEndpointWeightsAndCapacities
	// request.
	DesiredInstanceCount *int64 `min:"1" type:"integer"`

	// The requested weight, as specified in the UpdateEndpointWeightsAndCapacities
	// request.
	DesiredWeight *float64 `type:"float"`

	// The name of the variant.
	//
	// VariantName is a required field
	VariantName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Describes weight and capacities for a production variant associated with an endpoint. If you sent a request to the UpdateEndpointWeightsAndCapacities API and the endpoint status is Updating, you get different desired and current values.

func (ProductionVariantSummary) String 

func (s ProductionVariantSummary) String() string

String returns the string representation

type PropertyNameQuery added in v0.6.0 

type PropertyNameQuery struct {

	// Text that begins a property's name.
	//
	// PropertyNameHint is a required field
	PropertyNameHint *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Part of the SuggestionQuery type. Specifies a hint for retrieving property names that begin with the specified text.

func (PropertyNameQuery) String added in v0.6.0 

func (s PropertyNameQuery) String() string

String returns the string representation

func (*PropertyNameQuery) Validate added in v0.6.0 

func (s *PropertyNameQuery) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type PropertyNameSuggestion added in v0.6.0 

type PropertyNameSuggestion struct {

	// A suggested property name based on what you entered in the search textbox
	// in the Amazon SageMaker console.
	PropertyName *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

A property name returned from a GetSearchSuggestions call that specifies a value in the PropertyNameQuery field.

func (PropertyNameSuggestion) String added in v0.6.0 

func (s PropertyNameSuggestion) String() string

String returns the string representation

type PublicWorkforceTaskPrice added in v0.6.0 

type PublicWorkforceTaskPrice struct {

	// Defines the amount of money paid to an Amazon Mechanical Turk worker in United
	// States dollars.
	AmountInUsd *USD `type:"structure"`
	// contains filtered or unexported fields
}

Defines the amount of money paid to an Amazon Mechanical Turk worker for each task performed.

Use one of the following prices for bounding box tasks. Prices are in US dollars and should be based on the complexity of the task; the longer it takes in your initial testing, the more you should offer.

  • 0.036

  • 0.048

  • 0.060

  • 0.072

  • 0.120

  • 0.240

  • 0.360

  • 0.480

  • 0.600

  • 0.720

  • 0.840

  • 0.960

  • 1.080

  • 1.200

Use one of the following prices for image classification, text classification, and custom tasks. Prices are in US dollars.

  • 0.012

  • 0.024

  • 0.036

  • 0.048

  • 0.060

  • 0.072

  • 0.120

  • 0.240

  • 0.360

  • 0.480

  • 0.600

  • 0.720

  • 0.840

  • 0.960

  • 1.080

  • 1.200

Use one of the following prices for semantic segmentation tasks. Prices are in US dollars.

  • 0.840

  • 0.960

  • 1.080

  • 1.200

Use one of the following prices for Textract AnalyzeDocument Important Form Key Amazon Augmented AI review tasks. Prices are in US dollars.

  • 2.400

  • 2.280

  • 2.160

  • 2.040

  • 1.920

  • 1.800

  • 1.680

  • 1.560

  • 1.440

  • 1.320

  • 1.200

  • 1.080

  • 0.960

  • 0.840

  • 0.720

  • 0.600

  • 0.480

  • 0.360

  • 0.240

  • 0.120

  • 0.072

  • 0.060

  • 0.048

  • 0.036

  • 0.024

  • 0.012

Use one of the following prices for Rekognition DetectModerationLabels Amazon Augmented AI review tasks. Prices are in US dollars.

  • 1.200

  • 1.080

  • 0.960

  • 0.840

  • 0.720

  • 0.600

  • 0.480

  • 0.360

  • 0.240

  • 0.120

  • 0.072

  • 0.060

  • 0.048

  • 0.036

  • 0.024

  • 0.012

Use one of the following prices for Amazon Augmented AI custom human review tasks. Prices are in US dollars.

  • 1.200

  • 1.080

  • 0.960

  • 0.840

  • 0.720

  • 0.600

  • 0.480

  • 0.360

  • 0.240

  • 0.120

  • 0.072

  • 0.060

  • 0.048

  • 0.036

  • 0.024

  • 0.012

func (PublicWorkforceTaskPrice) String added in v0.6.0 

func (s PublicWorkforceTaskPrice) String() string

String returns the string representation

type RecordWrapper 

type RecordWrapper string
const (
	RecordWrapperNone     RecordWrapper = "None"
	RecordWrapperRecordIo RecordWrapper = "RecordIO"
)

Enum values for RecordWrapper

func (RecordWrapper) MarshalValue added in v0.3.0 

func (enum RecordWrapper) MarshalValue() (string, error)

func (RecordWrapper) MarshalValueBuf added in v0.3.0 

func (enum RecordWrapper) MarshalValueBuf(b []byte) ([]byte, error)

type RenderUiTemplateInput added in v0.6.0 

type RenderUiTemplateInput struct {

	// The HumanTaskUiArn of the worker UI that you want to render. Do not provide
	// a HumanTaskUiArn if you use the UiTemplate parameter.
	//
	// See a list of available Human Ui Amazon Resource Names (ARNs) in UiConfig.
	HumanTaskUiArn *string `type:"string"`

	// The Amazon Resource Name (ARN) that has access to the S3 objects that are
	// used by the template.
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"true"`

	// A RenderableTask object containing a representative task to render.
	//
	// Task is a required field
	Task *RenderableTask `type:"structure" required:"true"`

	// A Template object containing the worker UI template to render.
	UiTemplate *UiTemplate `type:"structure"`
	// contains filtered or unexported fields
}

func (RenderUiTemplateInput) String added in v0.6.0 

func (s RenderUiTemplateInput) String() string

String returns the string representation

func (*RenderUiTemplateInput) Validate added in v0.6.0 

func (s *RenderUiTemplateInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type RenderUiTemplateOutput added in v0.6.0 

type RenderUiTemplateOutput struct {

	// A list of one or more RenderingError objects if any were encountered while
	// rendering the template. If there were no errors, the list is empty.
	//
	// Errors is a required field
	Errors []RenderingError `type:"list" required:"true"`

	// A Liquid template that renders the HTML for the worker UI.
	//
	// RenderedContent is a required field
	RenderedContent *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (RenderUiTemplateOutput) String added in v0.6.0 

func (s RenderUiTemplateOutput) String() string

String returns the string representation

type RenderUiTemplateRequest added in v0.6.0 

type RenderUiTemplateRequest struct {
	*aws.Request
	Input *RenderUiTemplateInput
	Copy  func(*RenderUiTemplateInput) RenderUiTemplateRequest
}

RenderUiTemplateRequest is the request type for the RenderUiTemplate API operation.

func (RenderUiTemplateRequest) Send added in v0.6.0 

func (r RenderUiTemplateRequest) Send(ctx context.Context) (*RenderUiTemplateResponse, error)

Send marshals and sends the RenderUiTemplate API request.

type RenderUiTemplateResponse added in v0.9.0 

type RenderUiTemplateResponse struct {
	*RenderUiTemplateOutput
	// contains filtered or unexported fields
}

RenderUiTemplateResponse is the response type for the RenderUiTemplate API operation.

func (*RenderUiTemplateResponse) SDKResponseMetdata added in v0.9.0 

func (r *RenderUiTemplateResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the RenderUiTemplate request.

type RenderableTask added in v0.6.0 

type RenderableTask struct {

	// A JSON object that contains values for the variables defined in the template.
	// It is made available to the template under the substitution variable task.input.
	// For example, if you define a variable task.input.text in your template, you
	// can supply the variable in the JSON object as "text": "sample text".
	//
	// Input is a required field
	Input *string `min:"2" type:"string" required:"true"`
	// contains filtered or unexported fields
}

Contains input values for a task.

func (RenderableTask) String added in v0.6.0 

func (s RenderableTask) String() string

String returns the string representation

func (*RenderableTask) Validate added in v0.6.0 

func (s *RenderableTask) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type RenderingError added in v0.6.0 

type RenderingError struct {

	// A unique identifier for a specific class of errors.
	//
	// Code is a required field
	Code *string `type:"string" required:"true"`

	// A human-readable message describing the error.
	//
	// Message is a required field
	Message *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

A description of an error that occurred while rendering the template.

func (RenderingError) String added in v0.6.0 

func (s RenderingError) String() string

String returns the string representation

type ResolvedAttributes added in v0.18.0 

type ResolvedAttributes struct {

	// Applies a metric to minimize or maximize for the job's objective.
	AutoMLJobObjective *AutoMLJobObjective `type:"structure"`

	// How long a job is allowed to run, or how many candidates a job is allowed
	// to generate.
	CompletionCriteria *AutoMLJobCompletionCriteria `type:"structure"`

	// The problem type.
	ProblemType ProblemType `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

The resolved attributes.

func (ResolvedAttributes) String added in v0.18.0 

func (s ResolvedAttributes) String() string

String returns the string representation

type ResourceConfig 

type ResourceConfig struct {

	// The number of ML compute instances to use. For distributed training, provide
	// a value greater than 1.
	//
	// InstanceCount is a required field
	InstanceCount *int64 `min:"1" type:"integer" required:"true"`

	// The ML compute instance type.
	//
	// InstanceType is a required field
	InstanceType TrainingInstanceType `type:"string" required:"true" enum:"true"`

	// The AWS KMS key that Amazon SageMaker uses to encrypt data on the storage
	// volume attached to the ML compute instance(s) that run the training job.
	//
	// Certain Nitro-based instances include local storage, dependent on the instance
	// type. Local storage volumes are encrypted using a hardware module on the
	// instance. You can't request a VolumeKmsKeyId when using an instance type
	// with local storage.
	//
	// For a list of instance types that support local instance storage, see Instance
	// Store Volumes (https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/InstanceStorage.html#instance-store-volumes).
	//
	// For more information about local instance storage encryption, see SSD Instance
	// Store Volumes (https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ssd-instance-store.html).
	//
	// The VolumeKmsKeyId can be in any of the following formats:
	//
	//    * // KMS Key ID "1234abcd-12ab-34cd-56ef-1234567890ab"
	//
	//    * // Amazon Resource Name (ARN) of a KMS Key "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
	VolumeKmsKeyId *string `type:"string"`

	// The size of the ML storage volume that you want to provision.
	//
	// ML storage volumes store model artifacts and incremental states. Training
	// algorithms might also use the ML storage volume for scratch space. If you
	// want to store the training data in the ML storage volume, choose File as
	// the TrainingInputMode in the algorithm specification.
	//
	// You must specify sufficient ML storage for your scenario.
	//
	// Amazon SageMaker supports only the General Purpose SSD (gp2) ML storage volume
	// type.
	//
	// Certain Nitro-based instances include local storage with a fixed total size,
	// dependent on the instance type. When using these instances for training,
	// Amazon SageMaker mounts the local instance storage instead of Amazon EBS
	// gp2 storage. You can't request a VolumeSizeInGB greater than the total size
	// of the local instance storage.
	//
	// For a list of instance types that support local instance storage, including
	// the total size per instance type, see Instance Store Volumes (https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/InstanceStorage.html#instance-store-volumes).
	//
	// VolumeSizeInGB is a required field
	VolumeSizeInGB *int64 `min:"1" type:"integer" required:"true"`
	// contains filtered or unexported fields
}

Describes the resources, including ML compute instances and ML storage volumes, to use for model training.

func (ResourceConfig) String 

func (s ResourceConfig) String() string

String returns the string representation

func (*ResourceConfig) Validate 

func (s *ResourceConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ResourceLimits added in v0.5.0 

type ResourceLimits struct {

	// The maximum number of training jobs that a hyperparameter tuning job can
	// launch.
	//
	// MaxNumberOfTrainingJobs is a required field
	MaxNumberOfTrainingJobs *int64 `min:"1" type:"integer" required:"true"`

	// The maximum number of concurrent training jobs that a hyperparameter tuning
	// job can launch.
	//
	// MaxParallelTrainingJobs is a required field
	MaxParallelTrainingJobs *int64 `min:"1" type:"integer" required:"true"`
	// contains filtered or unexported fields
}

Specifies the maximum number of training jobs and parallel training jobs that a hyperparameter tuning job can launch.

func (ResourceLimits) String added in v0.5.0 

func (s ResourceLimits) String() string

String returns the string representation

func (*ResourceLimits) Validate added in v0.5.0 

func (s *ResourceLimits) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ResourceSpec added in v0.18.0 

type ResourceSpec struct {

	// The instance type.
	InstanceType AppInstanceType `type:"string" enum:"true"`

	// The Amazon Resource Name (ARN) of the SageMaker image created on the instance.
	SageMakerImageArn *string `type:"string"`
	// contains filtered or unexported fields
}

The instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance. The ARN is stored as metadata in SageMaker Studio notebooks.

func (ResourceSpec) String added in v0.18.0 

func (s ResourceSpec) String() string

String returns the string representation

type ResourceType added in v0.6.0 

type ResourceType string
const (
	ResourceTypeTrainingJob              ResourceType = "TrainingJob"
	ResourceTypeExperiment               ResourceType = "Experiment"
	ResourceTypeExperimentTrial          ResourceType = "ExperimentTrial"
	ResourceTypeExperimentTrialComponent ResourceType = "ExperimentTrialComponent"
)

Enum values for ResourceType

func (ResourceType) MarshalValue added in v0.6.0 

func (enum ResourceType) MarshalValue() (string, error)

func (ResourceType) MarshalValueBuf added in v0.6.0 

func (enum ResourceType) MarshalValueBuf(b []byte) ([]byte, error)

type RetentionPolicy added in v0.18.0 

type RetentionPolicy struct {

	// The default is Retain, which specifies to keep the data stored on the EFS
	// volume.
	//
	// Specify Delete to delete the data stored on the EFS volume.
	HomeEfsFileSystem RetentionType `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

The retention policy for data stored on an Amazon Elastic File System (EFS) volume.

func (RetentionPolicy) String added in v0.18.0 

func (s RetentionPolicy) String() string

String returns the string representation

type RetentionType added in v0.18.0 

type RetentionType string
const (
	RetentionTypeRetain RetentionType = "Retain"
	RetentionTypeDelete RetentionType = "Delete"
)

Enum values for RetentionType

func (RetentionType) MarshalValue added in v0.18.0 

func (enum RetentionType) MarshalValue() (string, error)

func (RetentionType) MarshalValueBuf added in v0.18.0 

func (enum RetentionType) MarshalValueBuf(b []byte) ([]byte, error)

type RootAccess added in v0.8.0 

type RootAccess string
const (
	RootAccessEnabled  RootAccess = "Enabled"
	RootAccessDisabled RootAccess = "Disabled"
)

Enum values for RootAccess

func (RootAccess) MarshalValue added in v0.8.0 

func (enum RootAccess) MarshalValue() (string, error)

func (RootAccess) MarshalValueBuf added in v0.8.0 

func (enum RootAccess) MarshalValueBuf(b []byte) ([]byte, error)

type RuleEvaluationStatus added in v0.18.0 

type RuleEvaluationStatus string
const (
	RuleEvaluationStatusInProgress    RuleEvaluationStatus = "InProgress"
	RuleEvaluationStatusNoIssuesFound RuleEvaluationStatus = "NoIssuesFound"
	RuleEvaluationStatusIssuesFound   RuleEvaluationStatus = "IssuesFound"
	RuleEvaluationStatusError         RuleEvaluationStatus = "Error"
	RuleEvaluationStatusStopping      RuleEvaluationStatus = "Stopping"
	RuleEvaluationStatusStopped       RuleEvaluationStatus = "Stopped"
)

Enum values for RuleEvaluationStatus

func (RuleEvaluationStatus) MarshalValue added in v0.18.0 

func (enum RuleEvaluationStatus) MarshalValue() (string, error)

func (RuleEvaluationStatus) MarshalValueBuf added in v0.18.0 

func (enum RuleEvaluationStatus) MarshalValueBuf(b []byte) ([]byte, error)

type S3DataDistribution 

type S3DataDistribution string
const (
	S3DataDistributionFullyReplicated S3DataDistribution = "FullyReplicated"
	S3DataDistributionShardedByS3key  S3DataDistribution = "ShardedByS3Key"
)

Enum values for S3DataDistribution

func (S3DataDistribution) MarshalValue added in v0.3.0 

func (enum S3DataDistribution) MarshalValue() (string, error)

func (S3DataDistribution) MarshalValueBuf added in v0.3.0 

func (enum S3DataDistribution) MarshalValueBuf(b []byte) ([]byte, error)

type S3DataSource 

type S3DataSource struct {

	// A list of one or more attribute names to use that are found in a specified
	// augmented manifest file.
	AttributeNames []string `type:"list"`

	// If you want Amazon SageMaker to replicate the entire dataset on each ML compute
	// instance that is launched for model training, specify FullyReplicated.
	//
	// If you want Amazon SageMaker to replicate a subset of data on each ML compute
	// instance that is launched for model training, specify ShardedByS3Key. If
	// there are n ML compute instances launched for a training job, each instance
	// gets approximately 1/n of the number of S3 objects. In this case, model training
	// on each machine uses only the subset of training data.
	//
	// Don't choose more ML compute instances for training than available S3 objects.
	// If you do, some nodes won't get any data and you will pay for nodes that
	// aren't getting any training data. This applies in both File and Pipe modes.
	// Keep this in mind when developing algorithms.
	//
	// In distributed training, where you use multiple ML compute EC2 instances,
	// you might choose ShardedByS3Key. If the algorithm requires copying training
	// data to the ML storage volume (when TrainingInputMode is set to File), this
	// copies 1/n of the number of objects.
	S3DataDistributionType S3DataDistribution `type:"string" enum:"true"`

	// If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker
	// uses all objects that match the specified key name prefix for model training.
	//
	// If you choose ManifestFile, S3Uri identifies an object that is a manifest
	// file containing a list of object keys that you want Amazon SageMaker to use
	// for model training.
	//
	// If you choose AugmentedManifestFile, S3Uri identifies an object that is an
	// augmented manifest file in JSON lines format. This file contains the data
	// you want to use for model training. AugmentedManifestFile can only be used
	// if the Channel's input mode is Pipe.
	//
	// S3DataType is a required field
	S3DataType S3DataType `type:"string" required:"true" enum:"true"`

	// Depending on the value specified for the S3DataType, identifies either a
	// key name prefix or a manifest. For example:
	//
	//    * A key name prefix might look like this: s3://bucketname/exampleprefix
	//
	//    * A manifest might look like this: s3://bucketname/example.manifest A
	//    manifest is an S3 object which is a JSON file consisting of an array of
	//    elements. The first element is a prefix which is followed by one or more
	//    suffixes. SageMaker appends the suffix elements to the prefix to get a
	//    full set of S3Uri. Note that the prefix must be a valid non-empty S3Uri
	//    that precludes users from specifying a manifest whose individual S3Uri
	//    is sourced from different S3 buckets. The following code example shows
	//    a valid manifest format: [ {"prefix": "s3://customer_bucket/some/prefix/"},
	//    "relative/path/to/custdata-1", "relative/path/custdata-2", ... "relative/path/custdata-N"
	//    ] This JSON is equivalent to the following S3Uri list: s3://customer_bucket/some/prefix/relative/path/to/custdata-1
	//    s3://customer_bucket/some/prefix/relative/path/custdata-2 ... s3://customer_bucket/some/prefix/relative/path/custdata-N
	//    The complete set of S3Uri in this manifest is the input data for the channel
	//    for this data source. The object that each S3Uri points to must be readable
	//    by the IAM role that Amazon SageMaker uses to perform tasks on your behalf.
	//
	// S3Uri is a required field
	S3Uri *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Describes the S3 data source.

func (S3DataSource) String 

func (s S3DataSource) String() string

String returns the string representation

func (*S3DataSource) Validate 

func (s *S3DataSource) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type S3DataType 

type S3DataType string
const (
	S3DataTypeManifestFile          S3DataType = "ManifestFile"
	S3DataTypeS3prefix              S3DataType = "S3Prefix"
	S3DataTypeAugmentedManifestFile S3DataType = "AugmentedManifestFile"
)

Enum values for S3DataType

func (S3DataType) MarshalValue added in v0.3.0 

func (enum S3DataType) MarshalValue() (string, error)

func (S3DataType) MarshalValueBuf added in v0.3.0 

func (enum S3DataType) MarshalValueBuf(b []byte) ([]byte, error)

type ScheduleConfig added in v0.18.0 

type ScheduleConfig struct {

	// A cron expression that describes details about the monitoring schedule.
	//
	// Currently the only supported cron expressions are:
	//
	//    * If you want to set the job to start every hour, please use the following:
	//    Hourly: cron(0 * ? * * *)
	//
	//    * If you want to start the job daily: cron(0 [00-23] ? * * *)
	//
	// For example, the following are valid cron expressions:
	//
	//    * Daily at noon UTC: cron(0 12 ? * * *)
	//
	//    * Daily at midnight UTC: cron(0 0 ? * * *)
	//
	// To support running every 6, 12 hours, the following are also supported:
	//
	// cron(0 [00-23]/[01-24] ? * * *)
	//
	// For example, the following are valid cron expressions:
	//
	//    * Every 12 hours, starting at 5pm UTC: cron(0 17/12 ? * * *)
	//
	//    * Every two hours starting at midnight: cron(0 0/2 ? * * *)
	//
	//    * Even though the cron expression is set to start at 5PM UTC, note that
	//    there could be a delay of 0-20 minutes from the actual requested time
	//    to run the execution.
	//
	//    * We recommend that if you would like a daily schedule, you do not provide
	//    this parameter. Amazon SageMaker will pick a time for running every day.
	//
	// ScheduleExpression is a required field
	ScheduleExpression *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

Configuration details about the monitoring schedule.

func (ScheduleConfig) String added in v0.18.0 

func (s ScheduleConfig) String() string

String returns the string representation

func (*ScheduleConfig) Validate added in v0.18.0 

func (s *ScheduleConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ScheduleStatus added in v0.18.0 

type ScheduleStatus string
const (
	ScheduleStatusPending   ScheduleStatus = "Pending"
	ScheduleStatusFailed    ScheduleStatus = "Failed"
	ScheduleStatusScheduled ScheduleStatus = "Scheduled"
	ScheduleStatusStopped   ScheduleStatus = "Stopped"
)

Enum values for ScheduleStatus

func (ScheduleStatus) MarshalValue added in v0.18.0 

func (enum ScheduleStatus) MarshalValue() (string, error)

func (ScheduleStatus) MarshalValueBuf added in v0.18.0 

func (enum ScheduleStatus) MarshalValueBuf(b []byte) ([]byte, error)

type SearchExpression added in v0.6.0 

type SearchExpression struct {

	// A list of filter objects.
	Filters []Filter `min:"1" type:"list"`

	// A list of nested filter objects.
	NestedFilters []NestedFilters `min:"1" type:"list"`

	// A Boolean operator used to evaluate the search expression. If you want every
	// conditional statement in all lists to be satisfied for the entire search
	// expression to be true, specify And. If only a single conditional statement
	// needs to be true for the entire search expression to be true, specify Or.
	// The default value is And.
	Operator BooleanOperator `type:"string" enum:"true"`

	// A list of search expression objects.
	SubExpressions []SearchExpression `min:"1" type:"list"`
	// contains filtered or unexported fields
}

A multi-expression that searches for the specified resource or resources in a search. All resource objects that satisfy the expression's condition are included in the search results. You must specify at least one subexpression, filter, or nested filter. A SearchExpression can contain up to twenty elements.

A SearchExpression contains the following components:

  • A list of Filter objects. Each filter defines a simple Boolean expression comprised of a resource property name, Boolean operator, and value.

  • A list of NestedFilter objects. Each nested filter defines a list of Boolean expressions using a list of resource properties. A nested filter is satisfied if a single object in the list satisfies all Boolean expressions.

  • A list of SearchExpression objects. A search expression object can be nested in a list of search expression objects.

  • A Boolean operator: And or Or.

func (SearchExpression) String added in v0.6.0 

func (s SearchExpression) String() string

String returns the string representation

func (*SearchExpression) Validate added in v0.6.0 

func (s *SearchExpression) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type SearchInput added in v0.6.0 

type SearchInput struct {

	// The maximum number of results to return.
	MaxResults *int64 `min:"1" type:"integer"`

	// If more than MaxResults resources match the specified SearchExpression, the
	// response includes a NextToken. The NextToken can be passed to the next SearchRequest
	// to continue retrieving results.
	NextToken *string `type:"string"`

	// The name of the Amazon SageMaker resource to search for.
	//
	// Resource is a required field
	Resource ResourceType `type:"string" required:"true" enum:"true"`

	// A Boolean conditional statement. Resources must satisfy this condition to
	// be included in search results. You must provide at least one subexpression,
	// filter, or nested filter. The maximum number of recursive SubExpressions,
	// NestedFilters, and Filters that can be included in a SearchExpression object
	// is 50.
	SearchExpression *SearchExpression `type:"structure"`

	// The name of the resource property used to sort the SearchResults. The default
	// is LastModifiedTime.
	SortBy *string `min:"1" type:"string"`

	// How SearchResults are ordered. Valid values are Ascending or Descending.
	// The default is Descending.
	SortOrder SearchSortOrder `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (SearchInput) String added in v0.6.0 

func (s SearchInput) String() string

String returns the string representation

func (*SearchInput) Validate added in v0.6.0 

func (s *SearchInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type SearchOutput added in v0.6.0 

type SearchOutput struct {

	// If the result of the previous Search request was truncated, the response
	// includes a NextToken. To retrieve the next set of results, use the token
	// in the next request.
	NextToken *string `type:"string"`

	// A list of SearchRecord objects.
	Results []SearchRecord `type:"list"`
	// contains filtered or unexported fields
}

func (SearchOutput) String added in v0.6.0 

func (s SearchOutput) String() string

String returns the string representation

type SearchPaginator added in v0.9.0 

type SearchPaginator struct {
	aws.Pager
}

SearchPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewSearchPaginator added in v0.9.0 

func NewSearchPaginator(req SearchRequest) SearchPaginator

NewSearchRequestPaginator returns a paginator for Search. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.SearchRequest(input)
p := sagemaker.NewSearchRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*SearchPaginator) CurrentPage added in v0.9.0 

func (p *SearchPaginator) CurrentPage() *SearchOutput

type SearchRecord added in v0.6.0 

type SearchRecord struct {

	// The properties of an experiment.
	Experiment *Experiment `type:"structure"`

	// The properties of a training job.
	TrainingJob *TrainingJob `type:"structure"`

	// The properties of a trial.
	Trial *Trial `type:"structure"`

	// The properties of a trial component.
	TrialComponent *TrialComponent `type:"structure"`
	// contains filtered or unexported fields
}

A single resource returned as part of the Search API response.

func (SearchRecord) String added in v0.6.0 

func (s SearchRecord) String() string

String returns the string representation

type SearchRequest added in v0.6.0 

type SearchRequest struct {
	*aws.Request
	Input *SearchInput
	Copy  func(*SearchInput) SearchRequest
}

SearchRequest is the request type for the Search API operation.

func (SearchRequest) Send added in v0.6.0 

func (r SearchRequest) Send(ctx context.Context) (*SearchResponse, error)

Send marshals and sends the Search API request.

type SearchResponse added in v0.9.0 

type SearchResponse struct {
	*SearchOutput
	// contains filtered or unexported fields
}

SearchResponse is the response type for the Search API operation.

func (*SearchResponse) SDKResponseMetdata added in v0.9.0 

func (r *SearchResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the Search request.

type SearchSortOrder added in v0.6.0 

type SearchSortOrder string
const (
	SearchSortOrderAscending  SearchSortOrder = "Ascending"
	SearchSortOrderDescending SearchSortOrder = "Descending"
)

Enum values for SearchSortOrder

func (SearchSortOrder) MarshalValue added in v0.6.0 

func (enum SearchSortOrder) MarshalValue() (string, error)

func (SearchSortOrder) MarshalValueBuf added in v0.6.0 

func (enum SearchSortOrder) MarshalValueBuf(b []byte) ([]byte, error)

type SecondaryStatus 

type SecondaryStatus string
const (
	SecondaryStatusStarting                 SecondaryStatus = "Starting"
	SecondaryStatusLaunchingMlinstances     SecondaryStatus = "LaunchingMLInstances"
	SecondaryStatusPreparingTrainingStack   SecondaryStatus = "PreparingTrainingStack"
	SecondaryStatusDownloading              SecondaryStatus = "Downloading"
	SecondaryStatusDownloadingTrainingImage SecondaryStatus = "DownloadingTrainingImage"
	SecondaryStatusTraining                 SecondaryStatus = "Training"
	SecondaryStatusUploading                SecondaryStatus = "Uploading"
	SecondaryStatusStopping                 SecondaryStatus = "Stopping"
	SecondaryStatusStopped                  SecondaryStatus = "Stopped"
	SecondaryStatusMaxRuntimeExceeded       SecondaryStatus = "MaxRuntimeExceeded"
	SecondaryStatusCompleted                SecondaryStatus = "Completed"
	SecondaryStatusFailed                   SecondaryStatus = "Failed"
	SecondaryStatusInterrupted              SecondaryStatus = "Interrupted"
	SecondaryStatusMaxWaitTimeExceeded      SecondaryStatus = "MaxWaitTimeExceeded"
)

Enum values for SecondaryStatus

func (SecondaryStatus) MarshalValue added in v0.3.0 

func (enum SecondaryStatus) MarshalValue() (string, error)

func (SecondaryStatus) MarshalValueBuf added in v0.3.0 

func (enum SecondaryStatus) MarshalValueBuf(b []byte) ([]byte, error)

type SecondaryStatusTransition added in v0.5.0 

type SecondaryStatusTransition struct {

	// A timestamp that shows when the training job transitioned out of this secondary
	// status state into another secondary status state or when the training job
	// has ended.
	EndTime *time.Time `type:"timestamp"`

	// A timestamp that shows when the training job transitioned to the current
	// secondary status state.
	//
	// StartTime is a required field
	StartTime *time.Time `type:"timestamp" required:"true"`

	// Contains a secondary status information from a training job.
	//
	// Status might be one of the following secondary statuses:
	//
	// InProgress
	//
	//    * Starting - Starting the training job.
	//
	//    * Downloading - An optional stage for algorithms that support File training
	//    input mode. It indicates that data is being downloaded to the ML storage
	//    volumes.
	//
	//    * Training - Training is in progress.
	//
	//    * Uploading - Training is complete and the model artifacts are being uploaded
	//    to the S3 location.
	//
	// Completed
	//
	//    * Completed - The training job has completed.
	//
	// Failed
	//
	//    * Failed - The training job has failed. The reason for the failure is
	//    returned in the FailureReason field of DescribeTrainingJobResponse.
	//
	// Stopped
	//
	//    * MaxRuntimeExceeded - The job stopped because it exceeded the maximum
	//    allowed runtime.
	//
	//    * Stopped - The training job has stopped.
	//
	// Stopping
	//
	//    * Stopping - Stopping the training job.
	//
	// We no longer support the following secondary statuses:
	//
	//    * LaunchingMLInstances
	//
	//    * PreparingTrainingStack
	//
	//    * DownloadingTrainingImage
	//
	// Status is a required field
	Status SecondaryStatus `type:"string" required:"true" enum:"true"`

	// A detailed description of the progress within a secondary status.
	//
	// Amazon SageMaker provides secondary statuses and status messages that apply
	// to each of them:
	//
	// Starting
	//
	//    * Starting the training job.
	//
	//    * Launching requested ML instances.
	//
	//    * Insufficient capacity error from EC2 while launching instances, retrying!
	//
	//    * Launched instance was unhealthy, replacing it!
	//
	//    * Preparing the instances for training.
	//
	// Training
	//
	//    * Downloading the training image.
	//
	//    * Training image download completed. Training in progress.
	//
	// Status messages are subject to change. Therefore, we recommend not including
	// them in code that programmatically initiates actions. For examples, don't
	// use status messages in if statements.
	//
	// To have an overview of your training job's progress, view TrainingJobStatus
	// and SecondaryStatus in DescribeTrainingJob, and StatusMessage together. For
	// example, at the start of a training job, you might see the following:
	//
	//    * TrainingJobStatus - InProgress
	//
	//    * SecondaryStatus - Training
	//
	//    * StatusMessage - Downloading the training image
	StatusMessage *string `type:"string"`
	// contains filtered or unexported fields
}

An array element of DescribeTrainingJobResponse$SecondaryStatusTransitions. It provides additional details about a status that the training job has transitioned through. A training job can be in one of several states, for example, starting, downloading, training, or uploading. Within each state, there are a number of intermediate states. For example, within the starting state, Amazon SageMaker could be starting the training job or launching the ML instances. These transitional states are referred to as the job's secondary status.

func (SecondaryStatusTransition) String added in v0.5.0 

func (s SecondaryStatusTransition) String() string

String returns the string representation

type SharingSettings added in v0.18.0 

type SharingSettings struct {

	// Whether to include the notebook cell output when sharing the notebook. The
	// default is Disabled.
	NotebookOutputOption NotebookOutputOption `type:"string" enum:"true"`

	// When NotebookOutputOption is Allowed, the AWS Key Management Service (KMS)
	// encryption key ID used to encrypt the notebook cell output in the Amazon
	// S3 bucket.
	S3KmsKeyId *string `type:"string"`

	// When NotebookOutputOption is Allowed, the Amazon S3 bucket used to save the
	// notebook cell output. If S3OutputPath isn't specified, a default bucket is
	// used.
	S3OutputPath *string `type:"string"`
	// contains filtered or unexported fields
}

Specifies options when sharing an Amazon SageMaker Studio notebook. These settings are specified as part of DefaultUserSettings when the CreateDomain API is called, and as part of UserSettings when the CreateUserProfile API is called.

func (SharingSettings) String added in v0.18.0 

func (s SharingSettings) String() string

String returns the string representation

type ShuffleConfig added in v0.6.0 

type ShuffleConfig struct {

	// Determines the shuffling order in ShuffleConfig value.
	//
	// Seed is a required field
	Seed *int64 `type:"long" required:"true"`
	// contains filtered or unexported fields
}

A configuration for a shuffle option for input data in a channel. If you use S3Prefix for S3DataType, the results of the S3 key prefix matches are shuffled. If you use ManifestFile, the order of the S3 object references in the ManifestFile is shuffled. If you use AugmentedManifestFile, the order of the JSON lines in the AugmentedManifestFile is shuffled. The shuffling order is determined using the Seed value.

For Pipe input mode, when ShuffleConfig is specified shuffling is done at the start of every epoch. With large datasets, this ensures that the order of the training data is different for each epoch, and it helps reduce bias and possible overfitting. In a multi-node training job when ShuffleConfig is combined with S3DataDistributionType of ShardedByS3Key, the data is shuffled across nodes so that the content sent to a particular node on the first epoch might be sent to a different node on the second epoch.

func (ShuffleConfig) String added in v0.6.0 

func (s ShuffleConfig) String() string

String returns the string representation

func (*ShuffleConfig) Validate added in v0.6.0 

func (s *ShuffleConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type SortBy 

type SortBy string
const (
	SortByName         SortBy = "Name"
	SortByCreationTime SortBy = "CreationTime"
	SortByStatus       SortBy = "Status"
)

Enum values for SortBy

func (SortBy) MarshalValue added in v0.3.0 

func (enum SortBy) MarshalValue() (string, error)

func (SortBy) MarshalValueBuf added in v0.3.0 

func (enum SortBy) MarshalValueBuf(b []byte) ([]byte, error)

type SortExperimentsBy added in v0.18.0 

type SortExperimentsBy string
const (
	SortExperimentsByName         SortExperimentsBy = "Name"
	SortExperimentsByCreationTime SortExperimentsBy = "CreationTime"
)

Enum values for SortExperimentsBy

func (SortExperimentsBy) MarshalValue added in v0.18.0 

func (enum SortExperimentsBy) MarshalValue() (string, error)

func (SortExperimentsBy) MarshalValueBuf added in v0.18.0 

func (enum SortExperimentsBy) MarshalValueBuf(b []byte) ([]byte, error)

type SortOrder 

type SortOrder string
const (
	SortOrderAscending  SortOrder = "Ascending"
	SortOrderDescending SortOrder = "Descending"
)

Enum values for SortOrder

func (SortOrder) MarshalValue added in v0.3.0 

func (enum SortOrder) MarshalValue() (string, error)

func (SortOrder) MarshalValueBuf added in v0.3.0 

func (enum SortOrder) MarshalValueBuf(b []byte) ([]byte, error)

type SortTrialComponentsBy added in v0.18.0 

type SortTrialComponentsBy string
const (
	SortTrialComponentsByName         SortTrialComponentsBy = "Name"
	SortTrialComponentsByCreationTime SortTrialComponentsBy = "CreationTime"
)

Enum values for SortTrialComponentsBy

func (SortTrialComponentsBy) MarshalValue added in v0.18.0 

func (enum SortTrialComponentsBy) MarshalValue() (string, error)

func (SortTrialComponentsBy) MarshalValueBuf added in v0.18.0 

func (enum SortTrialComponentsBy) MarshalValueBuf(b []byte) ([]byte, error)

type SortTrialsBy added in v0.18.0 

type SortTrialsBy string
const (
	SortTrialsByName         SortTrialsBy = "Name"
	SortTrialsByCreationTime SortTrialsBy = "CreationTime"
)

Enum values for SortTrialsBy

func (SortTrialsBy) MarshalValue added in v0.18.0 

func (enum SortTrialsBy) MarshalValue() (string, error)

func (SortTrialsBy) MarshalValueBuf added in v0.18.0 

func (enum SortTrialsBy) MarshalValueBuf(b []byte) ([]byte, error)

type SourceAlgorithm added in v0.6.0 

type SourceAlgorithm struct {

	// The name of an algorithm that was used to create the model package. The algorithm
	// must be either an algorithm resource in your Amazon SageMaker account or
	// an algorithm in AWS Marketplace that you are subscribed to.
	//
	// AlgorithmName is a required field
	AlgorithmName *string `min:"1" type:"string" required:"true"`

	// The Amazon S3 path where the model artifacts, which result from model training,
	// are stored. This path must point to a single gzip compressed tar archive
	// (.tar.gz suffix).
	ModelDataUrl *string `type:"string"`
	// contains filtered or unexported fields
}

Specifies an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your Amazon SageMaker account or an algorithm in AWS Marketplace that you are subscribed to.

func (SourceAlgorithm) String added in v0.6.0 

func (s SourceAlgorithm) String() string

String returns the string representation

func (*SourceAlgorithm) Validate added in v0.6.0 

func (s *SourceAlgorithm) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type SourceAlgorithmSpecification added in v0.6.0 

type SourceAlgorithmSpecification struct {

	// A list of the algorithms that were used to create a model package.
	//
	// SourceAlgorithms is a required field
	SourceAlgorithms []SourceAlgorithm `min:"1" type:"list" required:"true"`
	// contains filtered or unexported fields
}

A list of algorithms that were used to create a model package.

func (SourceAlgorithmSpecification) String added in v0.6.0 

func (s SourceAlgorithmSpecification) String() string

String returns the string representation

func (*SourceAlgorithmSpecification) Validate added in v0.6.0 

func (s *SourceAlgorithmSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type SourceIpConfig added in v0.19.0 

type SourceIpConfig struct {

	// A list of one to ten Classless Inter-Domain Routing (https://docs.aws.amazon.com/vpc/latest/userguide/VPC_Subnets.html)
	// (CIDR) values.
	//
	// Maximum: Ten CIDR values
	//
	// The following Length Constraints apply to individual CIDR values in the CIDR
	// value list.
	//
	// Cidrs is a required field
	Cidrs []string `type:"list" required:"true"`
	// contains filtered or unexported fields
}

A list of IP address ranges (CIDRs (https://docs.aws.amazon.com/vpc/latest/userguide/VPC_Subnets.html)). Used to create an allow list of IP addresses for a private workforce. For more information, see .

func (SourceIpConfig) String added in v0.19.0 

func (s SourceIpConfig) String() string

String returns the string representation

func (*SourceIpConfig) Validate added in v0.19.0 

func (s *SourceIpConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type SplitType added in v0.5.0 

type SplitType string
const (
	SplitTypeNone     SplitType = "None"
	SplitTypeLine     SplitType = "Line"
	SplitTypeRecordIo SplitType = "RecordIO"
	SplitTypeTfrecord SplitType = "TFRecord"
)

Enum values for SplitType

func (SplitType) MarshalValue added in v0.5.0 

func (enum SplitType) MarshalValue() (string, error)

func (SplitType) MarshalValueBuf added in v0.5.0 

func (enum SplitType) MarshalValueBuf(b []byte) ([]byte, error)

type StartMonitoringScheduleInput added in v0.18.0 

type StartMonitoringScheduleInput struct {

	// The name of the schedule to start.
	//
	// MonitoringScheduleName is a required field
	MonitoringScheduleName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (StartMonitoringScheduleInput) String added in v0.18.0 

func (s StartMonitoringScheduleInput) String() string

String returns the string representation

func (*StartMonitoringScheduleInput) Validate added in v0.18.0 

func (s *StartMonitoringScheduleInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type StartMonitoringScheduleOutput added in v0.18.0 

type StartMonitoringScheduleOutput struct {
	// contains filtered or unexported fields
}

func (StartMonitoringScheduleOutput) String added in v0.18.0 

func (s StartMonitoringScheduleOutput) String() string

String returns the string representation

type StartMonitoringScheduleRequest added in v0.18.0 

type StartMonitoringScheduleRequest struct {
	*aws.Request
	Input *StartMonitoringScheduleInput
	Copy  func(*StartMonitoringScheduleInput) StartMonitoringScheduleRequest
}

StartMonitoringScheduleRequest is the request type for the StartMonitoringSchedule API operation.

func (StartMonitoringScheduleRequest) Send added in v0.18.0 

func (r StartMonitoringScheduleRequest) Send(ctx context.Context) (*StartMonitoringScheduleResponse, error)

Send marshals and sends the StartMonitoringSchedule API request.

type StartMonitoringScheduleResponse added in v0.18.0 

type StartMonitoringScheduleResponse struct {
	*StartMonitoringScheduleOutput
	// contains filtered or unexported fields
}

StartMonitoringScheduleResponse is the response type for the StartMonitoringSchedule API operation.

func (*StartMonitoringScheduleResponse) SDKResponseMetdata added in v0.18.0 

func (r *StartMonitoringScheduleResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the StartMonitoringSchedule request.

type StartNotebookInstanceInput 

type StartNotebookInstanceInput struct {

	// The name of the notebook instance to start.
	//
	// NotebookInstanceName is a required field
	NotebookInstanceName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (StartNotebookInstanceInput) String 

func (s StartNotebookInstanceInput) String() string

String returns the string representation

func (*StartNotebookInstanceInput) Validate 

func (s *StartNotebookInstanceInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type StartNotebookInstanceOutput 

type StartNotebookInstanceOutput struct {
	// contains filtered or unexported fields
}

func (StartNotebookInstanceOutput) String 

func (s StartNotebookInstanceOutput) String() string

String returns the string representation

type StartNotebookInstanceRequest 

type StartNotebookInstanceRequest struct {
	*aws.Request
	Input *StartNotebookInstanceInput
	Copy  func(*StartNotebookInstanceInput) StartNotebookInstanceRequest
}

StartNotebookInstanceRequest is the request type for the StartNotebookInstance API operation.

func (StartNotebookInstanceRequest) Send 

func (r StartNotebookInstanceRequest) Send(ctx context.Context) (*StartNotebookInstanceResponse, error)

Send marshals and sends the StartNotebookInstance API request.

type StartNotebookInstanceResponse added in v0.9.0 

type StartNotebookInstanceResponse struct {
	*StartNotebookInstanceOutput
	// contains filtered or unexported fields
}

StartNotebookInstanceResponse is the response type for the StartNotebookInstance API operation.

func (*StartNotebookInstanceResponse) SDKResponseMetdata added in v0.9.0 

func (r *StartNotebookInstanceResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the StartNotebookInstance request.

type StopAutoMLJobInput added in v0.18.0 

type StopAutoMLJobInput struct {

	// The name of the object you are requesting.
	//
	// AutoMLJobName is a required field
	AutoMLJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (StopAutoMLJobInput) String added in v0.18.0 

func (s StopAutoMLJobInput) String() string

String returns the string representation

func (*StopAutoMLJobInput) Validate added in v0.18.0 

func (s *StopAutoMLJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type StopAutoMLJobOutput added in v0.18.0 

type StopAutoMLJobOutput struct {
	// contains filtered or unexported fields
}

func (StopAutoMLJobOutput) String added in v0.18.0 

func (s StopAutoMLJobOutput) String() string

String returns the string representation

type StopAutoMLJobRequest added in v0.18.0 

type StopAutoMLJobRequest struct {
	*aws.Request
	Input *StopAutoMLJobInput
	Copy  func(*StopAutoMLJobInput) StopAutoMLJobRequest
}

StopAutoMLJobRequest is the request type for the StopAutoMLJob API operation.

func (StopAutoMLJobRequest) Send added in v0.18.0 

func (r StopAutoMLJobRequest) Send(ctx context.Context) (*StopAutoMLJobResponse, error)

Send marshals and sends the StopAutoMLJob API request.

type StopAutoMLJobResponse added in v0.18.0 

type StopAutoMLJobResponse struct {
	*StopAutoMLJobOutput
	// contains filtered or unexported fields
}

StopAutoMLJobResponse is the response type for the StopAutoMLJob API operation.

func (*StopAutoMLJobResponse) SDKResponseMetdata added in v0.18.0 

func (r *StopAutoMLJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the StopAutoMLJob request.

type StopCompilationJobInput added in v0.6.0 

type StopCompilationJobInput struct {

	// The name of the model compilation job to stop.
	//
	// CompilationJobName is a required field
	CompilationJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (StopCompilationJobInput) String added in v0.6.0 

func (s StopCompilationJobInput) String() string

String returns the string representation

func (*StopCompilationJobInput) Validate added in v0.6.0 

func (s *StopCompilationJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type StopCompilationJobOutput added in v0.6.0 

type StopCompilationJobOutput struct {
	// contains filtered or unexported fields
}

func (StopCompilationJobOutput) String added in v0.6.0 

func (s StopCompilationJobOutput) String() string

String returns the string representation

type StopCompilationJobRequest added in v0.6.0 

type StopCompilationJobRequest struct {
	*aws.Request
	Input *StopCompilationJobInput
	Copy  func(*StopCompilationJobInput) StopCompilationJobRequest
}

StopCompilationJobRequest is the request type for the StopCompilationJob API operation.

func (StopCompilationJobRequest) Send added in v0.6.0 

func (r StopCompilationJobRequest) Send(ctx context.Context) (*StopCompilationJobResponse, error)

Send marshals and sends the StopCompilationJob API request.

type StopCompilationJobResponse added in v0.9.0 

type StopCompilationJobResponse struct {
	*StopCompilationJobOutput
	// contains filtered or unexported fields
}

StopCompilationJobResponse is the response type for the StopCompilationJob API operation.

func (*StopCompilationJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *StopCompilationJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the StopCompilationJob request.

type StopHyperParameterTuningJobInput added in v0.5.0 

type StopHyperParameterTuningJobInput struct {

	// The name of the tuning job to stop.
	//
	// HyperParameterTuningJobName is a required field
	HyperParameterTuningJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (StopHyperParameterTuningJobInput) String added in v0.5.0 

func (s StopHyperParameterTuningJobInput) String() string

String returns the string representation

func (*StopHyperParameterTuningJobInput) Validate added in v0.5.0 

func (s *StopHyperParameterTuningJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type StopHyperParameterTuningJobOutput added in v0.5.0 

type StopHyperParameterTuningJobOutput struct {
	// contains filtered or unexported fields
}

func (StopHyperParameterTuningJobOutput) String added in v0.5.0 

func (s StopHyperParameterTuningJobOutput) String() string

String returns the string representation

type StopHyperParameterTuningJobRequest added in v0.5.0 

type StopHyperParameterTuningJobRequest struct {
	*aws.Request
	Input *StopHyperParameterTuningJobInput
	Copy  func(*StopHyperParameterTuningJobInput) StopHyperParameterTuningJobRequest
}

StopHyperParameterTuningJobRequest is the request type for the StopHyperParameterTuningJob API operation.

func (StopHyperParameterTuningJobRequest) Send added in v0.5.0 

func (r StopHyperParameterTuningJobRequest) Send(ctx context.Context) (*StopHyperParameterTuningJobResponse, error)

Send marshals and sends the StopHyperParameterTuningJob API request.

type StopHyperParameterTuningJobResponse added in v0.9.0 

type StopHyperParameterTuningJobResponse struct {
	*StopHyperParameterTuningJobOutput
	// contains filtered or unexported fields
}

StopHyperParameterTuningJobResponse is the response type for the StopHyperParameterTuningJob API operation.

func (*StopHyperParameterTuningJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *StopHyperParameterTuningJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the StopHyperParameterTuningJob request.

type StopLabelingJobInput added in v0.6.0 

type StopLabelingJobInput struct {

	// The name of the labeling job to stop.
	//
	// LabelingJobName is a required field
	LabelingJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (StopLabelingJobInput) String added in v0.6.0 

func (s StopLabelingJobInput) String() string

String returns the string representation

func (*StopLabelingJobInput) Validate added in v0.6.0 

func (s *StopLabelingJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type StopLabelingJobOutput added in v0.6.0 

type StopLabelingJobOutput struct {
	// contains filtered or unexported fields
}

func (StopLabelingJobOutput) String added in v0.6.0 

func (s StopLabelingJobOutput) String() string

String returns the string representation

type StopLabelingJobRequest added in v0.6.0 

type StopLabelingJobRequest struct {
	*aws.Request
	Input *StopLabelingJobInput
	Copy  func(*StopLabelingJobInput) StopLabelingJobRequest
}

StopLabelingJobRequest is the request type for the StopLabelingJob API operation.

func (StopLabelingJobRequest) Send added in v0.6.0 

func (r StopLabelingJobRequest) Send(ctx context.Context) (*StopLabelingJobResponse, error)

Send marshals and sends the StopLabelingJob API request.

type StopLabelingJobResponse added in v0.9.0 

type StopLabelingJobResponse struct {
	*StopLabelingJobOutput
	// contains filtered or unexported fields
}

StopLabelingJobResponse is the response type for the StopLabelingJob API operation.

func (*StopLabelingJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *StopLabelingJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the StopLabelingJob request.

type StopMonitoringScheduleInput added in v0.18.0 

type StopMonitoringScheduleInput struct {

	// The name of the schedule to stop.
	//
	// MonitoringScheduleName is a required field
	MonitoringScheduleName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (StopMonitoringScheduleInput) String added in v0.18.0 

func (s StopMonitoringScheduleInput) String() string

String returns the string representation

func (*StopMonitoringScheduleInput) Validate added in v0.18.0 

func (s *StopMonitoringScheduleInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type StopMonitoringScheduleOutput added in v0.18.0 

type StopMonitoringScheduleOutput struct {
	// contains filtered or unexported fields
}

func (StopMonitoringScheduleOutput) String added in v0.18.0 

func (s StopMonitoringScheduleOutput) String() string

String returns the string representation

type StopMonitoringScheduleRequest added in v0.18.0 

type StopMonitoringScheduleRequest struct {
	*aws.Request
	Input *StopMonitoringScheduleInput
	Copy  func(*StopMonitoringScheduleInput) StopMonitoringScheduleRequest
}

StopMonitoringScheduleRequest is the request type for the StopMonitoringSchedule API operation.

func (StopMonitoringScheduleRequest) Send added in v0.18.0 

func (r StopMonitoringScheduleRequest) Send(ctx context.Context) (*StopMonitoringScheduleResponse, error)

Send marshals and sends the StopMonitoringSchedule API request.

type StopMonitoringScheduleResponse added in v0.18.0 

type StopMonitoringScheduleResponse struct {
	*StopMonitoringScheduleOutput
	// contains filtered or unexported fields
}

StopMonitoringScheduleResponse is the response type for the StopMonitoringSchedule API operation.

func (*StopMonitoringScheduleResponse) SDKResponseMetdata added in v0.18.0 

func (r *StopMonitoringScheduleResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the StopMonitoringSchedule request.

type StopNotebookInstanceInput 

type StopNotebookInstanceInput struct {

	// The name of the notebook instance to terminate.
	//
	// NotebookInstanceName is a required field
	NotebookInstanceName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (StopNotebookInstanceInput) String 

func (s StopNotebookInstanceInput) String() string

String returns the string representation

func (*StopNotebookInstanceInput) Validate 

func (s *StopNotebookInstanceInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type StopNotebookInstanceOutput 

type StopNotebookInstanceOutput struct {
	// contains filtered or unexported fields
}

func (StopNotebookInstanceOutput) String 

func (s StopNotebookInstanceOutput) String() string

String returns the string representation

type StopNotebookInstanceRequest 

type StopNotebookInstanceRequest struct {
	*aws.Request
	Input *StopNotebookInstanceInput
	Copy  func(*StopNotebookInstanceInput) StopNotebookInstanceRequest
}

StopNotebookInstanceRequest is the request type for the StopNotebookInstance API operation.

func (StopNotebookInstanceRequest) Send 

func (r StopNotebookInstanceRequest) Send(ctx context.Context) (*StopNotebookInstanceResponse, error)

Send marshals and sends the StopNotebookInstance API request.

type StopNotebookInstanceResponse added in v0.9.0 

type StopNotebookInstanceResponse struct {
	*StopNotebookInstanceOutput
	// contains filtered or unexported fields
}

StopNotebookInstanceResponse is the response type for the StopNotebookInstance API operation.

func (*StopNotebookInstanceResponse) SDKResponseMetdata added in v0.9.0 

func (r *StopNotebookInstanceResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the StopNotebookInstance request.

type StopProcessingJobInput added in v0.18.0 

type StopProcessingJobInput struct {

	// The name of the processing job to stop.
	//
	// ProcessingJobName is a required field
	ProcessingJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (StopProcessingJobInput) String added in v0.18.0 

func (s StopProcessingJobInput) String() string

String returns the string representation

func (*StopProcessingJobInput) Validate added in v0.18.0 

func (s *StopProcessingJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type StopProcessingJobOutput added in v0.18.0 

type StopProcessingJobOutput struct {
	// contains filtered or unexported fields
}

func (StopProcessingJobOutput) String added in v0.18.0 

func (s StopProcessingJobOutput) String() string

String returns the string representation

type StopProcessingJobRequest added in v0.18.0 

type StopProcessingJobRequest struct {
	*aws.Request
	Input *StopProcessingJobInput
	Copy  func(*StopProcessingJobInput) StopProcessingJobRequest
}

StopProcessingJobRequest is the request type for the StopProcessingJob API operation.

func (StopProcessingJobRequest) Send added in v0.18.0 

func (r StopProcessingJobRequest) Send(ctx context.Context) (*StopProcessingJobResponse, error)

Send marshals and sends the StopProcessingJob API request.

type StopProcessingJobResponse added in v0.18.0 

type StopProcessingJobResponse struct {
	*StopProcessingJobOutput
	// contains filtered or unexported fields
}

StopProcessingJobResponse is the response type for the StopProcessingJob API operation.

func (*StopProcessingJobResponse) SDKResponseMetdata added in v0.18.0 

func (r *StopProcessingJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the StopProcessingJob request.

type StopTrainingJobInput 

type StopTrainingJobInput struct {

	// The name of the training job to stop.
	//
	// TrainingJobName is a required field
	TrainingJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (StopTrainingJobInput) String 

func (s StopTrainingJobInput) String() string

String returns the string representation

func (*StopTrainingJobInput) Validate 

func (s *StopTrainingJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type StopTrainingJobOutput 

type StopTrainingJobOutput struct {
	// contains filtered or unexported fields
}

func (StopTrainingJobOutput) String 

func (s StopTrainingJobOutput) String() string

String returns the string representation

type StopTrainingJobRequest 

type StopTrainingJobRequest struct {
	*aws.Request
	Input *StopTrainingJobInput
	Copy  func(*StopTrainingJobInput) StopTrainingJobRequest
}

StopTrainingJobRequest is the request type for the StopTrainingJob API operation.

func (StopTrainingJobRequest) Send 

func (r StopTrainingJobRequest) Send(ctx context.Context) (*StopTrainingJobResponse, error)

Send marshals and sends the StopTrainingJob API request.

type StopTrainingJobResponse added in v0.9.0 

type StopTrainingJobResponse struct {
	*StopTrainingJobOutput
	// contains filtered or unexported fields
}

StopTrainingJobResponse is the response type for the StopTrainingJob API operation.

func (*StopTrainingJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *StopTrainingJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the StopTrainingJob request.

type StopTransformJobInput added in v0.5.0 

type StopTransformJobInput struct {

	// The name of the transform job to stop.
	//
	// TransformJobName is a required field
	TransformJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (StopTransformJobInput) String added in v0.5.0 

func (s StopTransformJobInput) String() string

String returns the string representation

func (*StopTransformJobInput) Validate added in v0.5.0 

func (s *StopTransformJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type StopTransformJobOutput added in v0.5.0 

type StopTransformJobOutput struct {
	// contains filtered or unexported fields
}

func (StopTransformJobOutput) String added in v0.5.0 

func (s StopTransformJobOutput) String() string

String returns the string representation

type StopTransformJobRequest added in v0.5.0 

type StopTransformJobRequest struct {
	*aws.Request
	Input *StopTransformJobInput
	Copy  func(*StopTransformJobInput) StopTransformJobRequest
}

StopTransformJobRequest is the request type for the StopTransformJob API operation.

func (StopTransformJobRequest) Send added in v0.5.0 

func (r StopTransformJobRequest) Send(ctx context.Context) (*StopTransformJobResponse, error)

Send marshals and sends the StopTransformJob API request.

type StopTransformJobResponse added in v0.9.0 

type StopTransformJobResponse struct {
	*StopTransformJobOutput
	// contains filtered or unexported fields
}

StopTransformJobResponse is the response type for the StopTransformJob API operation.

func (*StopTransformJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *StopTransformJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the StopTransformJob request.

type StoppingCondition 

type StoppingCondition struct {

	// The maximum length of time, in seconds, that the training or compilation
	// job can run. If job does not complete during this time, Amazon SageMaker
	// ends the job. If value is not specified, default value is 1 day. The maximum
	// value is 28 days.
	MaxRuntimeInSeconds *int64 `min:"1" type:"integer"`

	// The maximum length of time, in seconds, how long you are willing to wait
	// for a managed spot training job to complete. It is the amount of time spent
	// waiting for Spot capacity plus the amount of time the training job runs.
	// It must be equal to or greater than MaxRuntimeInSeconds.
	MaxWaitTimeInSeconds *int64 `min:"1" type:"integer"`
	// contains filtered or unexported fields
}

Specifies a limit to how long a model training or compilation job can run. It also specifies how long you are willing to wait for a managed spot training job to complete. When the job reaches the time limit, Amazon SageMaker ends the training or compilation job. Use this API to cap model training costs.

To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.

The training algorithms provided by Amazon SageMaker automatically save the intermediate results of a model training job when possible. This attempt to save artifacts is only a best effort case as model might not be in a state from which it can be saved. For example, if training has just started, the model might not be ready to save. When saved, this intermediate data is a valid model artifact. You can use it to create a model with CreateModel.

The Neural Topic Model (NTM) currently does not support saving intermediate model artifacts. When training NTMs, make sure that the maximum runtime is sufficient for the training job to complete.

func (StoppingCondition) String 

func (s StoppingCondition) String() string

String returns the string representation

func (*StoppingCondition) Validate 

func (s *StoppingCondition) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type SubscribedWorkteam added in v0.6.0 

type SubscribedWorkteam struct {

	// Marketplace product listing ID.
	ListingId *string `type:"string"`

	// The description of the vendor from the Amazon Marketplace.
	MarketplaceDescription *string `min:"1" type:"string"`

	// The title of the service provided by the vendor in the Amazon Marketplace.
	MarketplaceTitle *string `min:"1" type:"string"`

	// The name of the vendor in the Amazon Marketplace.
	SellerName *string `type:"string"`

	// The Amazon Resource Name (ARN) of the vendor that you have subscribed.
	//
	// WorkteamArn is a required field
	WorkteamArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Describes a work team of a vendor that does the a labelling job.

func (SubscribedWorkteam) String added in v0.6.0 

func (s SubscribedWorkteam) String() string

String returns the string representation

type SuggestionQuery added in v0.6.0 

type SuggestionQuery struct {

	// Defines a property name hint. Only property names that begin with the specified
	// hint are included in the response.
	PropertyNameQuery *PropertyNameQuery `type:"structure"`
	// contains filtered or unexported fields
}

Specified in the GetSearchSuggestions request. Limits the property names that are included in the response.

func (SuggestionQuery) String added in v0.6.0 

func (s SuggestionQuery) String() string

String returns the string representation

func (*SuggestionQuery) Validate added in v0.6.0 

func (s *SuggestionQuery) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type Tag 

type Tag struct {

	// The tag key.
	//
	// Key is a required field
	Key *string `min:"1" type:"string" required:"true"`

	// The tag value.
	//
	// Value is a required field
	Value *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Describes a tag.

func (Tag) String 

func (s Tag) String() string

String returns the string representation

func (*Tag) Validate 

func (s *Tag) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type TargetDevice added in v0.6.0 

type TargetDevice string
const (
	TargetDeviceLambda       TargetDevice = "lambda"
	TargetDeviceMlM4         TargetDevice = "ml_m4"
	TargetDeviceMlM5         TargetDevice = "ml_m5"
	TargetDeviceMlC4         TargetDevice = "ml_c4"
	TargetDeviceMlC5         TargetDevice = "ml_c5"
	TargetDeviceMlP2         TargetDevice = "ml_p2"
	TargetDeviceMlP3         TargetDevice = "ml_p3"
	TargetDeviceMlInf1       TargetDevice = "ml_inf1"
	TargetDeviceJetsonTx1    TargetDevice = "jetson_tx1"
	TargetDeviceJetsonTx2    TargetDevice = "jetson_tx2"
	TargetDeviceJetsonNano   TargetDevice = "jetson_nano"
	TargetDeviceJetsonXavier TargetDevice = "jetson_xavier"
	TargetDeviceRasp3b       TargetDevice = "rasp3b"
	TargetDeviceImx8qm       TargetDevice = "imx8qm"
	TargetDeviceDeeplens     TargetDevice = "deeplens"
	TargetDeviceRk3399       TargetDevice = "rk3399"
	TargetDeviceRk3288       TargetDevice = "rk3288"
	TargetDeviceAisage       TargetDevice = "aisage"
	TargetDeviceSbeC         TargetDevice = "sbe_c"
	TargetDeviceQcs605       TargetDevice = "qcs605"
	TargetDeviceQcs603       TargetDevice = "qcs603"
	TargetDeviceSitaraAm57x  TargetDevice = "sitara_am57x"
	TargetDeviceAmbaCv22     TargetDevice = "amba_cv22"
)

Enum values for TargetDevice

func (TargetDevice) MarshalValue added in v0.6.0 

func (enum TargetDevice) MarshalValue() (string, error)

func (TargetDevice) MarshalValueBuf added in v0.6.0 

func (enum TargetDevice) MarshalValueBuf(b []byte) ([]byte, error)

type TensorBoardAppSettings added in v0.18.0 

type TensorBoardAppSettings struct {

	// The default instance type and the Amazon Resource Name (ARN) of the SageMaker
	// image created on the instance.
	DefaultResourceSpec *ResourceSpec `type:"structure"`
	// contains filtered or unexported fields
}

The TensorBoard app settings.

func (TensorBoardAppSettings) String added in v0.18.0 

func (s TensorBoardAppSettings) String() string

String returns the string representation

type TensorBoardOutputConfig added in v0.18.0 

type TensorBoardOutputConfig struct {

	// Path to local storage location for tensorBoard output. Defaults to /opt/ml/output/tensorboard.
	LocalPath *string `type:"string"`

	// Path to Amazon S3 storage location for TensorBoard output.
	//
	// S3OutputPath is a required field
	S3OutputPath *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Configuration of storage locations for TensorBoard output.

func (TensorBoardOutputConfig) String added in v0.18.0 

func (s TensorBoardOutputConfig) String() string

String returns the string representation

func (*TensorBoardOutputConfig) Validate added in v0.18.0 

func (s *TensorBoardOutputConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type TrainingInputMode 

type TrainingInputMode string
const (
	TrainingInputModePipe TrainingInputMode = "Pipe"
	TrainingInputModeFile TrainingInputMode = "File"
)

Enum values for TrainingInputMode

func (TrainingInputMode) MarshalValue added in v0.3.0 

func (enum TrainingInputMode) MarshalValue() (string, error)

func (TrainingInputMode) MarshalValueBuf added in v0.3.0 

func (enum TrainingInputMode) MarshalValueBuf(b []byte) ([]byte, error)

type TrainingInstanceType 

type TrainingInstanceType string
const (
	TrainingInstanceTypeMlM4Xlarge     TrainingInstanceType = "ml.m4.xlarge"
	TrainingInstanceTypeMlM42xlarge    TrainingInstanceType = "ml.m4.2xlarge"
	TrainingInstanceTypeMlM44xlarge    TrainingInstanceType = "ml.m4.4xlarge"
	TrainingInstanceTypeMlM410xlarge   TrainingInstanceType = "ml.m4.10xlarge"
	TrainingInstanceTypeMlM416xlarge   TrainingInstanceType = "ml.m4.16xlarge"
	TrainingInstanceTypeMlG4dnXlarge   TrainingInstanceType = "ml.g4dn.xlarge"
	TrainingInstanceTypeMlG4dn2xlarge  TrainingInstanceType = "ml.g4dn.2xlarge"
	TrainingInstanceTypeMlG4dn4xlarge  TrainingInstanceType = "ml.g4dn.4xlarge"
	TrainingInstanceTypeMlG4dn8xlarge  TrainingInstanceType = "ml.g4dn.8xlarge"
	TrainingInstanceTypeMlG4dn12xlarge TrainingInstanceType = "ml.g4dn.12xlarge"
	TrainingInstanceTypeMlG4dn16xlarge TrainingInstanceType = "ml.g4dn.16xlarge"
	TrainingInstanceTypeMlM5Large      TrainingInstanceType = "ml.m5.large"
	TrainingInstanceTypeMlM5Xlarge     TrainingInstanceType = "ml.m5.xlarge"
	TrainingInstanceTypeMlM52xlarge    TrainingInstanceType = "ml.m5.2xlarge"
	TrainingInstanceTypeMlM54xlarge    TrainingInstanceType = "ml.m5.4xlarge"
	TrainingInstanceTypeMlM512xlarge   TrainingInstanceType = "ml.m5.12xlarge"
	TrainingInstanceTypeMlM524xlarge   TrainingInstanceType = "ml.m5.24xlarge"
	TrainingInstanceTypeMlC4Xlarge     TrainingInstanceType = "ml.c4.xlarge"
	TrainingInstanceTypeMlC42xlarge    TrainingInstanceType = "ml.c4.2xlarge"
	TrainingInstanceTypeMlC44xlarge    TrainingInstanceType = "ml.c4.4xlarge"
	TrainingInstanceTypeMlC48xlarge    TrainingInstanceType = "ml.c4.8xlarge"
	TrainingInstanceTypeMlP2Xlarge     TrainingInstanceType = "ml.p2.xlarge"
	TrainingInstanceTypeMlP28xlarge    TrainingInstanceType = "ml.p2.8xlarge"
	TrainingInstanceTypeMlP216xlarge   TrainingInstanceType = "ml.p2.16xlarge"
	TrainingInstanceTypeMlP32xlarge    TrainingInstanceType = "ml.p3.2xlarge"
	TrainingInstanceTypeMlP38xlarge    TrainingInstanceType = "ml.p3.8xlarge"
	TrainingInstanceTypeMlP316xlarge   TrainingInstanceType = "ml.p3.16xlarge"
	TrainingInstanceTypeMlP3dn24xlarge TrainingInstanceType = "ml.p3dn.24xlarge"
	TrainingInstanceTypeMlC5Xlarge     TrainingInstanceType = "ml.c5.xlarge"
	TrainingInstanceTypeMlC52xlarge    TrainingInstanceType = "ml.c5.2xlarge"
	TrainingInstanceTypeMlC54xlarge    TrainingInstanceType = "ml.c5.4xlarge"
	TrainingInstanceTypeMlC59xlarge    TrainingInstanceType = "ml.c5.9xlarge"
	TrainingInstanceTypeMlC518xlarge   TrainingInstanceType = "ml.c5.18xlarge"
	TrainingInstanceTypeMlC5nXlarge    TrainingInstanceType = "ml.c5n.xlarge"
	TrainingInstanceTypeMlC5n2xlarge   TrainingInstanceType = "ml.c5n.2xlarge"
	TrainingInstanceTypeMlC5n4xlarge   TrainingInstanceType = "ml.c5n.4xlarge"
	TrainingInstanceTypeMlC5n9xlarge   TrainingInstanceType = "ml.c5n.9xlarge"
	TrainingInstanceTypeMlC5n18xlarge  TrainingInstanceType = "ml.c5n.18xlarge"
)

Enum values for TrainingInstanceType

func (TrainingInstanceType) MarshalValue added in v0.3.0 

func (enum TrainingInstanceType) MarshalValue() (string, error)

func (TrainingInstanceType) MarshalValueBuf added in v0.3.0 

func (enum TrainingInstanceType) MarshalValueBuf(b []byte) ([]byte, error)

type TrainingJob added in v0.6.0 

type TrainingJob struct {

	// Information about the algorithm used for training, and algorithm metadata.
	AlgorithmSpecification *AlgorithmSpecification `type:"structure"`

	// The Amazon Resource Name (ARN) of the job.
	AutoMLJobArn *string `min:"1" type:"string"`

	// The billable time in seconds.
	BillableTimeInSeconds *int64 `min:"1" type:"integer"`

	// Contains information about the output location for managed spot training
	// checkpoint data.
	CheckpointConfig *CheckpointConfig `type:"structure"`

	// A timestamp that indicates when the training job was created.
	CreationTime *time.Time `type:"timestamp"`

	// Configuration information for the debug hook parameters, collection configuration,
	// and storage paths.
	DebugHookConfig *DebugHookConfig `type:"structure"`

	// Information about the debug rule configuration.
	DebugRuleConfigurations []DebugRuleConfiguration `type:"list"`

	// Information about the evaluation status of the rules for the training job.
	DebugRuleEvaluationStatuses []DebugRuleEvaluationStatus `type:"list"`

	// To encrypt all communications between ML compute instances in distributed
	// training, choose True. Encryption provides greater security for distributed
	// training, but training might take longer. How long it takes depends on the
	// amount of communication between compute instances, especially if you use
	// a deep learning algorithm in distributed training.
	EnableInterContainerTrafficEncryption *bool `type:"boolean"`

	// When true, enables managed spot training using Amazon EC2 Spot instances
	// to run training jobs instead of on-demand instances. For more information,
	// see Managed Spot Training (https://docs.aws.amazon.com/sagemaker/latest/dg/model-managed-spot-training.html).
	EnableManagedSpotTraining *bool `type:"boolean"`

	// If the TrainingJob was created with network isolation, the value is set to
	// true. If network isolation is enabled, nodes can't communicate beyond the
	// VPC they run in.
	EnableNetworkIsolation *bool `type:"boolean"`

	// Configuration for the experiment.
	ExperimentConfig *ExperimentConfig `type:"structure"`

	// If the training job failed, the reason it failed.
	FailureReason *string `type:"string"`

	// A list of final metric values that are set when the training job completes.
	// Used only if the training job was configured to use metrics.
	FinalMetricDataList []MetricData `type:"list"`

	// Algorithm-specific parameters.
	HyperParameters map[string]string `type:"map"`

	// An array of Channel objects that describes each data input channel.
	InputDataConfig []Channel `min:"1" type:"list"`

	// The Amazon Resource Name (ARN) of the labeling job.
	LabelingJobArn *string `type:"string"`

	// A timestamp that indicates when the status of the training job was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// Information about the Amazon S3 location that is configured for storing model
	// artifacts.
	ModelArtifacts *ModelArtifacts `type:"structure"`

	// The S3 path where model artifacts that you configured when creating the job
	// are stored. Amazon SageMaker creates subfolders for model artifacts.
	OutputDataConfig *OutputDataConfig `type:"structure"`

	// Resources, including ML compute instances and ML storage volumes, that are
	// configured for model training.
	ResourceConfig *ResourceConfig `type:"structure"`

	// The AWS Identity and Access Management (IAM) role configured for the training
	// job.
	RoleArn *string `min:"20" type:"string"`

	// Provides detailed information about the state of the training job. For detailed
	// information about the secondary status of the training job, see StatusMessage
	// under SecondaryStatusTransition.
	//
	// Amazon SageMaker provides primary statuses and secondary statuses that apply
	// to each of them:
	//
	// InProgress
	//
	//    * Starting - Starting the training job.
	//
	//    * Downloading - An optional stage for algorithms that support File training
	//    input mode. It indicates that data is being downloaded to the ML storage
	//    volumes.
	//
	//    * Training - Training is in progress.
	//
	//    * Uploading - Training is complete and the model artifacts are being uploaded
	//    to the S3 location.
	//
	// Completed
	//
	//    * Completed - The training job has completed.
	//
	// Failed
	//
	//    * Failed - The training job has failed. The reason for the failure is
	//    returned in the FailureReason field of DescribeTrainingJobResponse.
	//
	// Stopped
	//
	//    * MaxRuntimeExceeded - The job stopped because it exceeded the maximum
	//    allowed runtime.
	//
	//    * Stopped - The training job has stopped.
	//
	// Stopping
	//
	//    * Stopping - Stopping the training job.
	//
	// Valid values for SecondaryStatus are subject to change.
	//
	// We no longer support the following secondary statuses:
	//
	//    * LaunchingMLInstances
	//
	//    * PreparingTrainingStack
	//
	//    * DownloadingTrainingImage
	SecondaryStatus SecondaryStatus `type:"string" enum:"true"`

	// A history of all of the secondary statuses that the training job has transitioned
	// through.
	SecondaryStatusTransitions []SecondaryStatusTransition `type:"list"`

	// Specifies a limit to how long a model training job can run. When the job
	// reaches the time limit, Amazon SageMaker ends the training job. Use this
	// API to cap model training costs.
	//
	// To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which
	// delays job termination for 120 seconds. Algorithms can use this 120-second
	// window to save the model artifacts, so the results of training are not lost.
	StoppingCondition *StoppingCondition `type:"structure"`

	// An array of key-value pairs. For more information, see Using Cost Allocation
	// Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what)
	// in the AWS Billing and Cost Management User Guide.
	Tags []Tag `type:"list"`

	// Configuration of storage locations for TensorBoard output.
	TensorBoardOutputConfig *TensorBoardOutputConfig `type:"structure"`

	// Indicates the time when the training job ends on training instances. You
	// are billed for the time interval between the value of TrainingStartTime and
	// this time. For successful jobs and stopped jobs, this is the time after model
	// artifacts are uploaded. For failed jobs, this is the time when Amazon SageMaker
	// detects a job failure.
	TrainingEndTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the training job.
	TrainingJobArn *string `type:"string"`

	// The name of the training job.
	TrainingJobName *string `min:"1" type:"string"`

	// The status of the training job.
	//
	// Training job statuses are:
	//
	//    * InProgress - The training is in progress.
	//
	//    * Completed - The training job has completed.
	//
	//    * Failed - The training job has failed. To see the reason for the failure,
	//    see the FailureReason field in the response to a DescribeTrainingJobResponse
	//    call.
	//
	//    * Stopping - The training job is stopping.
	//
	//    * Stopped - The training job has stopped.
	//
	// For more detailed information, see SecondaryStatus.
	TrainingJobStatus TrainingJobStatus `type:"string" enum:"true"`

	// Indicates the time when the training job starts on training instances. You
	// are billed for the time interval between this time and the value of TrainingEndTime.
	// The start time in CloudWatch Logs might be later than this time. The difference
	// is due to the time it takes to download the training data and to the size
	// of the training container.
	TrainingStartTime *time.Time `type:"timestamp"`

	// The training time in seconds.
	TrainingTimeInSeconds *int64 `min:"1" type:"integer"`

	// The Amazon Resource Name (ARN) of the associated hyperparameter tuning job
	// if the training job was launched by a hyperparameter tuning job.
	TuningJobArn *string `type:"string"`

	// A VpcConfig object that specifies the VPC that this training job has access
	// to. For more information, see Protect Training Jobs by Using an Amazon Virtual
	// Private Cloud (https://docs.aws.amazon.com/sagemaker/latest/dg/train-vpc.html).
	VpcConfig *VpcConfig `type:"structure"`
	// contains filtered or unexported fields
}

Contains information about a training job.

func (TrainingJob) String added in v0.6.0 

func (s TrainingJob) String() string

String returns the string representation

type TrainingJobDefinition added in v0.6.0 

type TrainingJobDefinition struct {

	// The hyperparameters used for the training job.
	HyperParameters map[string]string `type:"map"`

	// An array of Channel objects, each of which specifies an input source.
	//
	// InputDataConfig is a required field
	InputDataConfig []Channel `min:"1" type:"list" required:"true"`

	// the path to the S3 bucket where you want to store model artifacts. Amazon
	// SageMaker creates subfolders for the artifacts.
	//
	// OutputDataConfig is a required field
	OutputDataConfig *OutputDataConfig `type:"structure" required:"true"`

	// The resources, including the ML compute instances and ML storage volumes,
	// to use for model training.
	//
	// ResourceConfig is a required field
	ResourceConfig *ResourceConfig `type:"structure" required:"true"`

	// Specifies a limit to how long a model training job can run. When the job
	// reaches the time limit, Amazon SageMaker ends the training job. Use this
	// API to cap model training costs.
	//
	// To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which
	// delays job termination for 120 seconds. Algorithms can use this 120-second
	// window to save the model artifacts.
	//
	// StoppingCondition is a required field
	StoppingCondition *StoppingCondition `type:"structure" required:"true"`

	// The input mode used by the algorithm for the training job. For the input
	// modes that Amazon SageMaker algorithms support, see Algorithms (https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html).
	//
	// If an algorithm supports the File input mode, Amazon SageMaker downloads
	// the training data from S3 to the provisioned ML storage Volume, and mounts
	// the directory to docker volume for training container. If an algorithm supports
	// the Pipe input mode, Amazon SageMaker streams data directly from S3 to the
	// container.
	//
	// TrainingInputMode is a required field
	TrainingInputMode TrainingInputMode `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Defines the input needed to run a training job using the algorithm.

func (TrainingJobDefinition) String added in v0.6.0 

func (s TrainingJobDefinition) String() string

String returns the string representation

func (*TrainingJobDefinition) Validate added in v0.6.0 

func (s *TrainingJobDefinition) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type TrainingJobEarlyStoppingType added in v0.7.0 

type TrainingJobEarlyStoppingType string
const (
	TrainingJobEarlyStoppingTypeOff  TrainingJobEarlyStoppingType = "Off"
	TrainingJobEarlyStoppingTypeAuto TrainingJobEarlyStoppingType = "Auto"
)

Enum values for TrainingJobEarlyStoppingType

func (TrainingJobEarlyStoppingType) MarshalValue added in v0.7.0 

func (enum TrainingJobEarlyStoppingType) MarshalValue() (string, error)

func (TrainingJobEarlyStoppingType) MarshalValueBuf added in v0.7.0 

func (enum TrainingJobEarlyStoppingType) MarshalValueBuf(b []byte) ([]byte, error)

type TrainingJobSortByOptions added in v0.5.0 

type TrainingJobSortByOptions string
const (
	TrainingJobSortByOptionsName                      TrainingJobSortByOptions = "Name"
	TrainingJobSortByOptionsCreationTime              TrainingJobSortByOptions = "CreationTime"
	TrainingJobSortByOptionsStatus                    TrainingJobSortByOptions = "Status"
	TrainingJobSortByOptionsFinalObjectiveMetricValue TrainingJobSortByOptions = "FinalObjectiveMetricValue"
)

Enum values for TrainingJobSortByOptions

func (TrainingJobSortByOptions) MarshalValue added in v0.5.0 

func (enum TrainingJobSortByOptions) MarshalValue() (string, error)

func (TrainingJobSortByOptions) MarshalValueBuf added in v0.5.0 

func (enum TrainingJobSortByOptions) MarshalValueBuf(b []byte) ([]byte, error)

type TrainingJobStatus 

type TrainingJobStatus string
const (
	TrainingJobStatusInProgress TrainingJobStatus = "InProgress"
	TrainingJobStatusCompleted  TrainingJobStatus = "Completed"
	TrainingJobStatusFailed     TrainingJobStatus = "Failed"
	TrainingJobStatusStopping   TrainingJobStatus = "Stopping"
	TrainingJobStatusStopped    TrainingJobStatus = "Stopped"
)

Enum values for TrainingJobStatus

func (TrainingJobStatus) MarshalValue added in v0.3.0 

func (enum TrainingJobStatus) MarshalValue() (string, error)

func (TrainingJobStatus) MarshalValueBuf added in v0.3.0 

func (enum TrainingJobStatus) MarshalValueBuf(b []byte) ([]byte, error)

type TrainingJobStatusCounters added in v0.5.0 

type TrainingJobStatusCounters struct {

	// The number of completed training jobs launched by the hyperparameter tuning
	// job.
	Completed *int64 `type:"integer"`

	// The number of in-progress training jobs launched by a hyperparameter tuning
	// job.
	InProgress *int64 `type:"integer"`

	// The number of training jobs that failed and can't be retried. A failed training
	// job can't be retried if it failed because a client error occurred.
	NonRetryableError *int64 `type:"integer"`

	// The number of training jobs that failed, but can be retried. A failed training
	// job can be retried only if it failed because an internal service error occurred.
	RetryableError *int64 `type:"integer"`

	// The number of training jobs launched by a hyperparameter tuning job that
	// were manually stopped.
	Stopped *int64 `type:"integer"`
	// contains filtered or unexported fields
}

The numbers of training jobs launched by a hyperparameter tuning job, categorized by status.

func (TrainingJobStatusCounters) String added in v0.5.0 

func (s TrainingJobStatusCounters) String() string

String returns the string representation

type TrainingJobSummary 

type TrainingJobSummary struct {

	// A timestamp that shows when the training job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// Timestamp when the training job was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// A timestamp that shows when the training job ended. This field is set only
	// if the training job has one of the terminal statuses (Completed, Failed,
	// or Stopped).
	TrainingEndTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the training job.
	//
	// TrainingJobArn is a required field
	TrainingJobArn *string `type:"string" required:"true"`

	// The name of the training job that you want a summary for.
	//
	// TrainingJobName is a required field
	TrainingJobName *string `min:"1" type:"string" required:"true"`

	// The status of the training job.
	//
	// TrainingJobStatus is a required field
	TrainingJobStatus TrainingJobStatus `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Provides summary information about a training job.

func (TrainingJobSummary) String 

func (s TrainingJobSummary) String() string

String returns the string representation

type TrainingSpecification added in v0.6.0 

type TrainingSpecification struct {

	// A list of MetricDefinition objects, which are used for parsing metrics generated
	// by the algorithm.
	MetricDefinitions []MetricDefinition `type:"list"`

	// A list of the HyperParameterSpecification objects, that define the supported
	// hyperparameters. This is required if the algorithm supports automatic model
	// tuning.>
	SupportedHyperParameters []HyperParameterSpecification `type:"list"`

	// A list of the instance types that this algorithm can use for training.
	//
	// SupportedTrainingInstanceTypes is a required field
	SupportedTrainingInstanceTypes []TrainingInstanceType `type:"list" required:"true"`

	// A list of the metrics that the algorithm emits that can be used as the objective
	// metric in a hyperparameter tuning job.
	SupportedTuningJobObjectiveMetrics []HyperParameterTuningJobObjective `type:"list"`

	// Indicates whether the algorithm supports distributed training. If set to
	// false, buyers can't request more than one instance during training.
	SupportsDistributedTraining *bool `type:"boolean"`

	// A list of ChannelSpecification objects, which specify the input sources to
	// be used by the algorithm.
	//
	// TrainingChannels is a required field
	TrainingChannels []ChannelSpecification `min:"1" type:"list" required:"true"`

	// The Amazon ECR registry path of the Docker image that contains the training
	// algorithm.
	//
	// TrainingImage is a required field
	TrainingImage *string `type:"string" required:"true"`

	// An MD5 hash of the training algorithm that identifies the Docker image used
	// for training.
	TrainingImageDigest *string `type:"string"`
	// contains filtered or unexported fields
}

Defines how the algorithm is used for a training job.

func (TrainingSpecification) String added in v0.6.0 

func (s TrainingSpecification) String() string

String returns the string representation

func (*TrainingSpecification) Validate added in v0.6.0 

func (s *TrainingSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type TransformDataSource added in v0.5.0 

type TransformDataSource struct {

	// The S3 location of the data source that is associated with a channel.
	//
	// S3DataSource is a required field
	S3DataSource *TransformS3DataSource `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

Describes the location of the channel data.

func (TransformDataSource) String added in v0.5.0 

func (s TransformDataSource) String() string

String returns the string representation

func (*TransformDataSource) Validate added in v0.5.0 

func (s *TransformDataSource) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type TransformInput added in v0.5.0 

type TransformInput struct {

	// If your transform data is compressed, specify the compression type. Amazon
	// SageMaker automatically decompresses the data for the transform job accordingly.
	// The default value is None.
	CompressionType CompressionType `type:"string" enum:"true"`

	// The multipurpose internet mail extension (MIME) type of the data. Amazon
	// SageMaker uses the MIME type with each http call to transfer data to the
	// transform job.
	ContentType *string `type:"string"`

	// Describes the location of the channel data, which is, the S3 location of
	// the input data that the model can consume.
	//
	// DataSource is a required field
	DataSource *TransformDataSource `type:"structure" required:"true"`

	// The method to use to split the transform job's data files into smaller batches.
	// Splitting is necessary when the total size of each object is too large to
	// fit in a single request. You can also use data splitting to improve performance
	// by processing multiple concurrent mini-batches. The default value for SplitType
	// is None, which indicates that input data files are not split, and request
	// payloads contain the entire contents of an input object. Set the value of
	// this parameter to Line to split records on a newline character boundary.
	// SplitType also supports a number of record-oriented binary data formats.
	//
	// When splitting is enabled, the size of a mini-batch depends on the values
	// of the BatchStrategy and MaxPayloadInMB parameters. When the value of BatchStrategy
	// is MultiRecord, Amazon SageMaker sends the maximum number of records in each
	// request, up to the MaxPayloadInMB limit. If the value of BatchStrategy is
	// SingleRecord, Amazon SageMaker sends individual records in each request.
	//
	// Some data formats represent a record as a binary payload wrapped with extra
	// padding bytes. When splitting is applied to a binary data format, padding
	// is removed if the value of BatchStrategy is set to SingleRecord. Padding
	// is not removed if the value of BatchStrategy is set to MultiRecord.
	//
	// For more information about RecordIO, see Create a Dataset Using RecordIO
	// (https://mxnet.apache.org/api/faq/recordio) in the MXNet documentation. For
	// more information about TFRecord, see Consuming TFRecord data (https://www.tensorflow.org/guide/datasets#consuming_tfrecord_data)
	// in the TensorFlow documentation.
	SplitType SplitType `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

Describes the input source of a transform job and the way the transform job consumes it.

func (TransformInput) String added in v0.5.0 

func (s TransformInput) String() string

String returns the string representation

func (*TransformInput) Validate added in v0.5.0 

func (s *TransformInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type TransformInstanceType added in v0.5.0 

type TransformInstanceType string
const (
	TransformInstanceTypeMlM4Xlarge   TransformInstanceType = "ml.m4.xlarge"
	TransformInstanceTypeMlM42xlarge  TransformInstanceType = "ml.m4.2xlarge"
	TransformInstanceTypeMlM44xlarge  TransformInstanceType = "ml.m4.4xlarge"
	TransformInstanceTypeMlM410xlarge TransformInstanceType = "ml.m4.10xlarge"
	TransformInstanceTypeMlM416xlarge TransformInstanceType = "ml.m4.16xlarge"
	TransformInstanceTypeMlC4Xlarge   TransformInstanceType = "ml.c4.xlarge"
	TransformInstanceTypeMlC42xlarge  TransformInstanceType = "ml.c4.2xlarge"
	TransformInstanceTypeMlC44xlarge  TransformInstanceType = "ml.c4.4xlarge"
	TransformInstanceTypeMlC48xlarge  TransformInstanceType = "ml.c4.8xlarge"
	TransformInstanceTypeMlP2Xlarge   TransformInstanceType = "ml.p2.xlarge"
	TransformInstanceTypeMlP28xlarge  TransformInstanceType = "ml.p2.8xlarge"
	TransformInstanceTypeMlP216xlarge TransformInstanceType = "ml.p2.16xlarge"
	TransformInstanceTypeMlP32xlarge  TransformInstanceType = "ml.p3.2xlarge"
	TransformInstanceTypeMlP38xlarge  TransformInstanceType = "ml.p3.8xlarge"
	TransformInstanceTypeMlP316xlarge TransformInstanceType = "ml.p3.16xlarge"
	TransformInstanceTypeMlC5Xlarge   TransformInstanceType = "ml.c5.xlarge"
	TransformInstanceTypeMlC52xlarge  TransformInstanceType = "ml.c5.2xlarge"
	TransformInstanceTypeMlC54xlarge  TransformInstanceType = "ml.c5.4xlarge"
	TransformInstanceTypeMlC59xlarge  TransformInstanceType = "ml.c5.9xlarge"
	TransformInstanceTypeMlC518xlarge TransformInstanceType = "ml.c5.18xlarge"
	TransformInstanceTypeMlM5Large    TransformInstanceType = "ml.m5.large"
	TransformInstanceTypeMlM5Xlarge   TransformInstanceType = "ml.m5.xlarge"
	TransformInstanceTypeMlM52xlarge  TransformInstanceType = "ml.m5.2xlarge"
	TransformInstanceTypeMlM54xlarge  TransformInstanceType = "ml.m5.4xlarge"
	TransformInstanceTypeMlM512xlarge TransformInstanceType = "ml.m5.12xlarge"
	TransformInstanceTypeMlM524xlarge TransformInstanceType = "ml.m5.24xlarge"
)

Enum values for TransformInstanceType

func (TransformInstanceType) MarshalValue added in v0.5.0 

func (enum TransformInstanceType) MarshalValue() (string, error)

func (TransformInstanceType) MarshalValueBuf added in v0.5.0 

func (enum TransformInstanceType) MarshalValueBuf(b []byte) ([]byte, error)

type TransformJobDefinition added in v0.6.0 

type TransformJobDefinition struct {

	// A string that determines the number of records included in a single mini-batch.
	//
	// SingleRecord means only one record is used per mini-batch. MultiRecord means
	// a mini-batch is set to contain as many records that can fit within the MaxPayloadInMB
	// limit.
	BatchStrategy BatchStrategy `type:"string" enum:"true"`

	// The environment variables to set in the Docker container. We support up to
	// 16 key and values entries in the map.
	Environment map[string]string `type:"map"`

	// The maximum number of parallel requests that can be sent to each instance
	// in a transform job. The default value is 1.
	MaxConcurrentTransforms *int64 `type:"integer"`

	// The maximum payload size allowed, in MB. A payload is the data portion of
	// a record (without metadata).
	MaxPayloadInMB *int64 `type:"integer"`

	// A description of the input source and the way the transform job consumes
	// it.
	//
	// TransformInput is a required field
	TransformInput *TransformInput `type:"structure" required:"true"`

	// Identifies the Amazon S3 location where you want Amazon SageMaker to save
	// the results from the transform job.
	//
	// TransformOutput is a required field
	TransformOutput *TransformOutput `type:"structure" required:"true"`

	// Identifies the ML compute instances for the transform job.
	//
	// TransformResources is a required field
	TransformResources *TransformResources `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

Defines the input needed to run a transform job using the inference specification specified in the algorithm.

func (TransformJobDefinition) String added in v0.6.0 

func (s TransformJobDefinition) String() string

String returns the string representation

func (*TransformJobDefinition) Validate added in v0.6.0 

func (s *TransformJobDefinition) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type TransformJobStatus added in v0.5.0 

type TransformJobStatus string
const (
	TransformJobStatusInProgress TransformJobStatus = "InProgress"
	TransformJobStatusCompleted  TransformJobStatus = "Completed"
	TransformJobStatusFailed     TransformJobStatus = "Failed"
	TransformJobStatusStopping   TransformJobStatus = "Stopping"
	TransformJobStatusStopped    TransformJobStatus = "Stopped"
)

Enum values for TransformJobStatus

func (TransformJobStatus) MarshalValue added in v0.5.0 

func (enum TransformJobStatus) MarshalValue() (string, error)

func (TransformJobStatus) MarshalValueBuf added in v0.5.0 

func (enum TransformJobStatus) MarshalValueBuf(b []byte) ([]byte, error)

type TransformJobSummary added in v0.5.0 

type TransformJobSummary struct {

	// A timestamp that shows when the transform Job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// If the transform job failed, the reason it failed.
	FailureReason *string `type:"string"`

	// Indicates when the transform job was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// Indicates when the transform job ends on compute instances. For successful
	// jobs and stopped jobs, this is the exact time recorded after the results
	// are uploaded. For failed jobs, this is when Amazon SageMaker detected that
	// the job failed.
	TransformEndTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the transform job.
	//
	// TransformJobArn is a required field
	TransformJobArn *string `type:"string" required:"true"`

	// The name of the transform job.
	//
	// TransformJobName is a required field
	TransformJobName *string `min:"1" type:"string" required:"true"`

	// The status of the transform job.
	//
	// TransformJobStatus is a required field
	TransformJobStatus TransformJobStatus `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Provides a summary of a transform job. Multiple TransformJobSummary objects are returned as a list after in response to a ListTransformJobs call.

func (TransformJobSummary) String added in v0.5.0 

func (s TransformJobSummary) String() string

String returns the string representation

type TransformOutput added in v0.5.0 

type TransformOutput struct {

	// The MIME type used to specify the output data. Amazon SageMaker uses the
	// MIME type with each http call to transfer data from the transform job.
	Accept *string `type:"string"`

	// Defines how to assemble the results of the transform job as a single S3 object.
	// Choose a format that is most convenient to you. To concatenate the results
	// in binary format, specify None. To add a newline character at the end of
	// every transformed record, specify Line.
	AssembleWith AssemblyType `type:"string" enum:"true"`

	// The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to
	// encrypt the model artifacts at rest using Amazon S3 server-side encryption.
	// The KmsKeyId can be any of the following formats:
	//
	//    * Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
	//
	//    * Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
	//
	//    * Alias name: alias/ExampleAlias
	//
	//    * Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
	//
	// If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS
	// key for Amazon S3 for your role's account. For more information, see KMS-Managed
	// Encryption Keys (https://docs.aws.amazon.com/AmazonS3/latest/dev/UsingKMSEncryption.html)
	// in the Amazon Simple Storage Service Developer Guide.
	//
	// The KMS key policy must grant permission to the IAM role that you specify
	// in your CreateModel request. For more information, see Using Key Policies
	// in AWS KMS (http://docs.aws.amazon.com/kms/latest/developerguide/key-policies.html)
	// in the AWS Key Management Service Developer Guide.
	KmsKeyId *string `type:"string"`

	// The Amazon S3 path where you want Amazon SageMaker to store the results of
	// the transform job. For example, s3://bucket-name/key-name-prefix.
	//
	// For every S3 object used as input for the transform job, batch transform
	// stores the transformed data with an .out suffix in a corresponding subfolder
	// in the location in the output prefix. For example, for the input data stored
	// at s3://bucket-name/input-name-prefix/dataset01/data.csv, batch transform
	// stores the transformed data at s3://bucket-name/output-name-prefix/input-name-prefix/data.csv.out.
	// Batch transform doesn't upload partially processed objects. For an input
	// S3 object that contains multiple records, it creates an .out file only if
	// the transform job succeeds on the entire file. When the input contains multiple
	// S3 objects, the batch transform job processes the listed S3 objects and uploads
	// only the output for successfully processed objects. If any object fails in
	// the transform job batch transform marks the job as failed to prompt investigation.
	//
	// S3OutputPath is a required field
	S3OutputPath *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Describes the results of a transform job.

func (TransformOutput) String added in v0.5.0 

func (s TransformOutput) String() string

String returns the string representation

func (*TransformOutput) Validate added in v0.5.0 

func (s *TransformOutput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type TransformResources added in v0.5.0 

type TransformResources struct {

	// The number of ML compute instances to use in the transform job. For distributed
	// transform jobs, specify a value greater than 1. The default value is 1.
	//
	// InstanceCount is a required field
	InstanceCount *int64 `min:"1" type:"integer" required:"true"`

	// The ML compute instance type for the transform job. If you are using built-in
	// algorithms to transform moderately sized datasets, we recommend using ml.m4.xlarge
	// or ml.m5.large instance types.
	//
	// InstanceType is a required field
	InstanceType TransformInstanceType `type:"string" required:"true" enum:"true"`

	// The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to
	// encrypt model data on the storage volume attached to the ML compute instance(s)
	// that run the batch transform job. The VolumeKmsKeyId can be any of the following
	// formats:
	//
	//    * Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
	//
	//    * Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
	//
	//    * Alias name: alias/ExampleAlias
	//
	//    * Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
	VolumeKmsKeyId *string `type:"string"`
	// contains filtered or unexported fields
}

Describes the resources, including ML instance types and ML instance count, to use for transform job.

func (TransformResources) String added in v0.5.0 

func (s TransformResources) String() string

String returns the string representation

func (*TransformResources) Validate added in v0.5.0 

func (s *TransformResources) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type TransformS3DataSource added in v0.5.0 

type TransformS3DataSource struct {

	// If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker
	// uses all objects with the specified key name prefix for batch transform.
	//
	// If you choose ManifestFile, S3Uri identifies an object that is a manifest
	// file containing a list of object keys that you want Amazon SageMaker to use
	// for batch transform.
	//
	// The following values are compatible: ManifestFile, S3Prefix
	//
	// The following value is not compatible: AugmentedManifestFile
	//
	// S3DataType is a required field
	S3DataType S3DataType `type:"string" required:"true" enum:"true"`

	// Depending on the value specified for the S3DataType, identifies either a
	// key name prefix or a manifest. For example:
	//
	//    * A key name prefix might look like this: s3://bucketname/exampleprefix.
	//
	//    * A manifest might look like this: s3://bucketname/example.manifest The
	//    manifest is an S3 object which is a JSON file with the following format:
	//    [ {"prefix": "s3://customer_bucket/some/prefix/"}, "relative/path/to/custdata-1",
	//    "relative/path/custdata-2", ... "relative/path/custdata-N" ] The preceding
	//    JSON matches the following s3Uris: s3://customer_bucket/some/prefix/relative/path/to/custdata-1
	//    s3://customer_bucket/some/prefix/relative/path/custdata-2 ... s3://customer_bucket/some/prefix/relative/path/custdata-N
	//    The complete set of S3Uris in this manifest constitutes the input data
	//    for the channel for this datasource. The object that each S3Uris points
	//    to must be readable by the IAM role that Amazon SageMaker uses to perform
	//    tasks on your behalf.
	//
	// S3Uri is a required field
	S3Uri *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Describes the S3 data source.

func (TransformS3DataSource) String added in v0.5.0 

func (s TransformS3DataSource) String() string

String returns the string representation

func (*TransformS3DataSource) Validate added in v0.5.0 

func (s *TransformS3DataSource) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type Trial added in v0.18.0 

type Trial struct {

	// Information about the user who created or modified an experiment, trial,
	// or trial component.
	CreatedBy *UserContext `type:"structure"`

	// When the trial was created.
	CreationTime *time.Time `type:"timestamp"`

	// The name of the trial as displayed. If DisplayName isn't specified, TrialName
	// is displayed.
	DisplayName *string `min:"1" type:"string"`

	// The name of the experiment the trial is part of.
	ExperimentName *string `min:"1" type:"string"`

	// Information about the user who created or modified an experiment, trial,
	// or trial component.
	LastModifiedBy *UserContext `type:"structure"`

	// Who last modified the trial.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The source of the trial.
	Source *TrialSource `type:"structure"`

	// The list of tags that are associated with the trial. You can use Search API
	// to search on the tags.
	Tags []Tag `type:"list"`

	// The Amazon Resource Name (ARN) of the trial.
	TrialArn *string `type:"string"`

	// A list of the components associated with the trial. For each component, a
	// summary of the component's properties is included.
	TrialComponentSummaries []TrialComponentSimpleSummary `type:"list"`

	// The name of the trial.
	TrialName *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

The properties of a trial as returned by the Search API.

func (Trial) String added in v0.18.0 

func (s Trial) String() string

String returns the string representation

type TrialComponent added in v0.18.0 

type TrialComponent struct {

	// Information about the user who created or modified an experiment, trial,
	// or trial component.
	CreatedBy *UserContext `type:"structure"`

	// When the component was created.
	CreationTime *time.Time `type:"timestamp"`

	// The name of the component as displayed. If DisplayName isn't specified, TrialComponentName
	// is displayed.
	DisplayName *string `min:"1" type:"string"`

	// When the component ended.
	EndTime *time.Time `type:"timestamp"`

	// The input artifacts of the component.
	InputArtifacts map[string]TrialComponentArtifact `type:"map"`

	// Information about the user who created or modified an experiment, trial,
	// or trial component.
	LastModifiedBy *UserContext `type:"structure"`

	// When the component was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The metrics for the component.
	Metrics []TrialComponentMetricSummary `type:"list"`

	// The output artifacts of the component.
	OutputArtifacts map[string]TrialComponentArtifact `type:"map"`

	// The hyperparameters of the component.
	Parameters map[string]TrialComponentParameterValue `type:"map"`

	// An array of the parents of the component. A parent is a trial the component
	// is associated with and the experiment the trial is part of. A component might
	// not have any parents.
	Parents []Parent `type:"list"`

	// The Amazon Resource Name (ARN) and job type of the source of the component.
	Source *TrialComponentSource `type:"structure"`

	// Details of the source of the component.
	SourceDetail *TrialComponentSourceDetail `type:"structure"`

	// When the component started.
	StartTime *time.Time `type:"timestamp"`

	// The status of the trial component.
	Status *TrialComponentStatus `type:"structure"`

	// The list of tags that are associated with the component. You can use Search
	// API to search on the tags.
	Tags []Tag `type:"list"`

	// The Amazon Resource Name (ARN) of the trial component.
	TrialComponentArn *string `type:"string"`

	// The name of the trial component.
	TrialComponentName *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

The properties of a trial component as returned by the Search API.

func (TrialComponent) String added in v0.18.0 

func (s TrialComponent) String() string

String returns the string representation

type TrialComponentArtifact added in v0.18.0 

type TrialComponentArtifact struct {

	// The media type of the artifact, which indicates the type of data in the artifact
	// file. The media type consists of a type and a subtype concatenated with a
	// slash (/) character, for example, text/csv, image/jpeg, and s3/uri. The type
	// specifies the category of the media. The subtype specifies the kind of data.
	MediaType *string `type:"string"`

	// The location of the artifact.
	//
	// Value is a required field
	Value *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Represents an input or output artifact of a trial component. You specify TrialComponentArtifact as part of the InputArtifacts and OutputArtifacts parameters in the CreateTrialComponent request.

Examples of input artifacts are datasets, algorithms, hyperparameters, source code, and instance types. Examples of output artifacts are metrics, snapshots, logs, and images.

func (TrialComponentArtifact) String added in v0.18.0 

func (s TrialComponentArtifact) String() string

String returns the string representation

func (*TrialComponentArtifact) Validate added in v0.18.0 

func (s *TrialComponentArtifact) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type TrialComponentMetricSummary added in v0.18.0 

type TrialComponentMetricSummary struct {

	// The average value of the metric.
	Avg *float64 `type:"double"`

	// The number of samples used to generate the metric.
	Count *int64 `type:"integer"`

	// The most recent value of the metric.
	Last *float64 `type:"double"`

	// The maximum value of the metric.
	Max *float64 `type:"double"`

	// The name of the metric.
	MetricName *string `min:"1" type:"string"`

	// The minimum value of the metric.
	Min *float64 `type:"double"`

	// The Amazon Resource Name (ARN) of the source.
	SourceArn *string `type:"string"`

	// The standard deviation of the metric.
	StdDev *float64 `type:"double"`

	// When the metric was last updated.
	TimeStamp *time.Time `type:"timestamp"`
	// contains filtered or unexported fields
}

A summary of the metrics of a trial component.

func (TrialComponentMetricSummary) String added in v0.18.0 

func (s TrialComponentMetricSummary) String() string

String returns the string representation

type TrialComponentParameterValue added in v0.18.0 

type TrialComponentParameterValue struct {

	// The numeric value of a numeric hyperparameter. If you specify a value for
	// this parameter, you can't specify the StringValue parameter.
	NumberValue *float64 `type:"double"`

	// The string value of a categorical hyperparameter. If you specify a value
	// for this parameter, you can't specify the NumberValue parameter.
	StringValue *string `type:"string"`
	// contains filtered or unexported fields
}

The value of a hyperparameter. Only one of NumberValue or StringValue can be specified.

This object is specified in the CreateTrialComponent request.

func (TrialComponentParameterValue) String added in v0.18.0 

func (s TrialComponentParameterValue) String() string

String returns the string representation

type TrialComponentPrimaryStatus added in v0.18.0 

type TrialComponentPrimaryStatus string
const (
	TrialComponentPrimaryStatusInProgress TrialComponentPrimaryStatus = "InProgress"
	TrialComponentPrimaryStatusCompleted  TrialComponentPrimaryStatus = "Completed"
	TrialComponentPrimaryStatusFailed     TrialComponentPrimaryStatus = "Failed"
	TrialComponentPrimaryStatusStopping   TrialComponentPrimaryStatus = "Stopping"
	TrialComponentPrimaryStatusStopped    TrialComponentPrimaryStatus = "Stopped"
)

Enum values for TrialComponentPrimaryStatus

func (TrialComponentPrimaryStatus) MarshalValue added in v0.18.0 

func (enum TrialComponentPrimaryStatus) MarshalValue() (string, error)

func (TrialComponentPrimaryStatus) MarshalValueBuf added in v0.18.0 

func (enum TrialComponentPrimaryStatus) MarshalValueBuf(b []byte) ([]byte, error)

type TrialComponentSimpleSummary added in v0.18.0 

type TrialComponentSimpleSummary struct {

	// Information about the user who created or modified an experiment, trial,
	// or trial component.
	CreatedBy *UserContext `type:"structure"`

	// When the component was created.
	CreationTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the trial component.
	TrialComponentArn *string `type:"string"`

	// The name of the trial component.
	TrialComponentName *string `min:"1" type:"string"`

	// The Amazon Resource Name (ARN) and job type of the source of a trial component.
	TrialComponentSource *TrialComponentSource `type:"structure"`
	// contains filtered or unexported fields
}

A short summary of a trial component.

func (TrialComponentSimpleSummary) String added in v0.18.0 

func (s TrialComponentSimpleSummary) String() string

String returns the string representation

type TrialComponentSource added in v0.18.0 

type TrialComponentSource struct {

	// The source ARN.
	//
	// SourceArn is a required field
	SourceArn *string `type:"string" required:"true"`

	// The source job type.
	SourceType *string `type:"string"`
	// contains filtered or unexported fields
}

The Amazon Resource Name (ARN) and job type of the source of a trial component.

func (TrialComponentSource) String added in v0.18.0 

func (s TrialComponentSource) String() string

String returns the string representation

type TrialComponentSourceDetail added in v0.18.0 

type TrialComponentSourceDetail struct {

	// Information about a processing job that's the source of a trial component.
	ProcessingJob *ProcessingJob `type:"structure"`

	// The Amazon Resource Name (ARN) of the source.
	SourceArn *string `type:"string"`

	// Information about a training job that's the source of a trial component.
	TrainingJob *TrainingJob `type:"structure"`
	// contains filtered or unexported fields
}

Detailed information about the source of a trial component. Either ProcessingJob or TrainingJob is returned.

func (TrialComponentSourceDetail) String added in v0.18.0 

func (s TrialComponentSourceDetail) String() string

String returns the string representation

type TrialComponentStatus added in v0.18.0 

type TrialComponentStatus struct {

	// If the component failed, a message describing why.
	Message *string `type:"string"`

	// The status of the trial component.
	PrimaryStatus TrialComponentPrimaryStatus `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

The status of the trial component.

func (TrialComponentStatus) String added in v0.18.0 

func (s TrialComponentStatus) String() string

String returns the string representation

type TrialComponentSummary added in v0.18.0 

type TrialComponentSummary struct {

	// Who created the component.
	CreatedBy *UserContext `type:"structure"`

	// When the component was created.
	CreationTime *time.Time `type:"timestamp"`

	// The name of the component as displayed. If DisplayName isn't specified, TrialComponentName
	// is displayed.
	DisplayName *string `min:"1" type:"string"`

	// When the component ended.
	EndTime *time.Time `type:"timestamp"`

	// Who last modified the component.
	LastModifiedBy *UserContext `type:"structure"`

	// When the component was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// When the component started.
	StartTime *time.Time `type:"timestamp"`

	// The status of the component. States include:
	//
	//    * InProgress
	//
	//    * Completed
	//
	//    * Failed
	Status *TrialComponentStatus `type:"structure"`

	// The ARN of the trial component.
	TrialComponentArn *string `type:"string"`

	// The name of the trial component.
	TrialComponentName *string `min:"1" type:"string"`

	// The Amazon Resource Name (ARN) and job type of the source of a trial component.
	TrialComponentSource *TrialComponentSource `type:"structure"`
	// contains filtered or unexported fields
}

A summary of the properties of a trial component. To get all the properties, call the DescribeTrialComponent API and provide the TrialComponentName.

func (TrialComponentSummary) String added in v0.18.0 

func (s TrialComponentSummary) String() string

String returns the string representation

type TrialSource added in v0.18.0 

type TrialSource struct {

	// The Amazon Resource Name (ARN) of the source.
	//
	// SourceArn is a required field
	SourceArn *string `type:"string" required:"true"`

	// The source job type.
	SourceType *string `type:"string"`
	// contains filtered or unexported fields
}

The source of the trial.

func (TrialSource) String added in v0.18.0 

func (s TrialSource) String() string

String returns the string representation

type TrialSummary added in v0.18.0 

type TrialSummary struct {

	// When the trial was created.
	CreationTime *time.Time `type:"timestamp"`

	// The name of the trial as displayed. If DisplayName isn't specified, TrialName
	// is displayed.
	DisplayName *string `min:"1" type:"string"`

	// When the trial was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the trial.
	TrialArn *string `type:"string"`

	// The name of the trial.
	TrialName *string `min:"1" type:"string"`

	// The source of the trial.
	TrialSource *TrialSource `type:"structure"`
	// contains filtered or unexported fields
}

A summary of the properties of a trial. To get the complete set of properties, call the DescribeTrial API and provide the TrialName.

func (TrialSummary) String added in v0.18.0 

func (s TrialSummary) String() string

String returns the string representation

type TuningJobCompletionCriteria added in v0.18.0 

type TuningJobCompletionCriteria struct {

	// The objective metric's value.
	//
	// TargetObjectiveMetricValue is a required field
	TargetObjectiveMetricValue *float64 `type:"float" required:"true"`
	// contains filtered or unexported fields
}

The job completion criteria.

func (TuningJobCompletionCriteria) String added in v0.18.0 

func (s TuningJobCompletionCriteria) String() string

String returns the string representation

func (*TuningJobCompletionCriteria) Validate added in v0.18.0 

func (s *TuningJobCompletionCriteria) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type USD added in v0.6.0 

type USD struct {

	// The fractional portion, in cents, of the amount.
	Cents *int64 `type:"integer"`

	// The whole number of dollars in the amount.
	Dollars *int64 `type:"integer"`

	// Fractions of a cent, in tenths.
	TenthFractionsOfACent *int64 `type:"integer"`
	// contains filtered or unexported fields
}

Represents an amount of money in United States dollars/

func (USD) String added in v0.6.0 

func (s USD) String() string

String returns the string representation

type UiConfig added in v0.6.0 

type UiConfig struct {

	// The ARN of the worker task template used to render the worker UI and tools
	// for labeling job tasks.
	//
	// Use this parameter when you are creating a labeling job for 3D point cloud
	// labeling modalities. Use your labeling job task type to select one of the
	// following ARN's and use it with this parameter when you create a labeling
	// job. Replace aws-region with the AWS region you are creating your labeling
	// job in.
	//
	// Use this HumanTaskUiArn for 3D point cloud object detection and 3D point
	// cloud object detection adjustment labeling jobs.
	//
	//    * arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectDetection
	//
	// Use this HumanTaskUiArn for 3D point cloud object tracking and 3D point cloud
	// object tracking adjustment labeling jobs.
	//
	//    * arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectTracking
	//
	// Use this HumanTaskUiArn for 3D point cloud semantic segmentation and 3D point
	// cloud semantic segmentation adjustment labeling jobs.
	//
	//    * arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudSemanticSegmentation
	HumanTaskUiArn *string `type:"string"`

	// The Amazon S3 bucket location of the UI template, or worker task template.
	// This is the template used to render the worker UI and tools for labeling
	// job tasks. For more information about the contents of a UI template, see
	// Creating Your Custom Labeling Task Template (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-custom-templates-step2.html).
	UiTemplateS3Uri *string `type:"string"`
	// contains filtered or unexported fields
}

Provided configuration information for the worker UI for a labeling job.

func (UiConfig) String added in v0.6.0 

func (s UiConfig) String() string

String returns the string representation

type UiTemplate added in v0.6.0 

type UiTemplate struct {

	// The content of the Liquid template for the worker user interface.
	//
	// Content is a required field
	Content *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

The Liquid template for the worker user interface.

func (UiTemplate) String added in v0.6.0 

func (s UiTemplate) String() string

String returns the string representation

func (*UiTemplate) Validate added in v0.6.0 

func (s *UiTemplate) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type UiTemplateInfo added in v0.18.0 

type UiTemplateInfo struct {

	// The SHA-256 digest of the contents of the template.
	ContentSha256 *string `min:"1" type:"string"`

	// The URL for the user interface template.
	Url *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

Container for user interface template information.

func (UiTemplateInfo) String added in v0.18.0 

func (s UiTemplateInfo) String() string

String returns the string representation

type UpdateCodeRepositoryInput added in v0.6.0 

type UpdateCodeRepositoryInput struct {

	// The name of the Git repository to update.
	//
	// CodeRepositoryName is a required field
	CodeRepositoryName *string `min:"1" type:"string" required:"true"`

	// The configuration of the git repository, including the URL and the Amazon
	// Resource Name (ARN) of the AWS Secrets Manager secret that contains the credentials
	// used to access the repository. The secret must have a staging label of AWSCURRENT
	// and must be in the following format:
	//
	// {"username": UserName, "password": Password}
	GitConfig *GitConfigForUpdate `type:"structure"`
	// contains filtered or unexported fields
}

func (UpdateCodeRepositoryInput) String added in v0.6.0 

func (s UpdateCodeRepositoryInput) String() string

String returns the string representation

func (*UpdateCodeRepositoryInput) Validate added in v0.6.0 

func (s *UpdateCodeRepositoryInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type UpdateCodeRepositoryOutput added in v0.6.0 

type UpdateCodeRepositoryOutput struct {

	// The ARN of the Git repository.
	//
	// CodeRepositoryArn is a required field
	CodeRepositoryArn *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (UpdateCodeRepositoryOutput) String added in v0.6.0 

func (s UpdateCodeRepositoryOutput) String() string

String returns the string representation

type UpdateCodeRepositoryRequest added in v0.6.0 

type UpdateCodeRepositoryRequest struct {
	*aws.Request
	Input *UpdateCodeRepositoryInput
	Copy  func(*UpdateCodeRepositoryInput) UpdateCodeRepositoryRequest
}

UpdateCodeRepositoryRequest is the request type for the UpdateCodeRepository API operation.

func (UpdateCodeRepositoryRequest) Send added in v0.6.0 

func (r UpdateCodeRepositoryRequest) Send(ctx context.Context) (*UpdateCodeRepositoryResponse, error)

Send marshals and sends the UpdateCodeRepository API request.

type UpdateCodeRepositoryResponse added in v0.9.0 

type UpdateCodeRepositoryResponse struct {
	*UpdateCodeRepositoryOutput
	// contains filtered or unexported fields
}

UpdateCodeRepositoryResponse is the response type for the UpdateCodeRepository API operation.

func (*UpdateCodeRepositoryResponse) SDKResponseMetdata added in v0.9.0 

func (r *UpdateCodeRepositoryResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the UpdateCodeRepository request.

type UpdateDomainInput added in v0.18.0 

type UpdateDomainInput struct {

	// A collection of settings.
	DefaultUserSettings *UserSettings `type:"structure"`

	// The ID of the domain to be updated.
	//
	// DomainId is a required field
	DomainId *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (UpdateDomainInput) String added in v0.18.0 

func (s UpdateDomainInput) String() string

String returns the string representation

func (*UpdateDomainInput) Validate added in v0.18.0 

func (s *UpdateDomainInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type UpdateDomainOutput added in v0.18.0 

type UpdateDomainOutput struct {

	// The Amazon Resource Name (ARN) of the domain.
	DomainArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (UpdateDomainOutput) String added in v0.18.0 

func (s UpdateDomainOutput) String() string

String returns the string representation

type UpdateDomainRequest added in v0.18.0 

type UpdateDomainRequest struct {
	*aws.Request
	Input *UpdateDomainInput
	Copy  func(*UpdateDomainInput) UpdateDomainRequest
}

UpdateDomainRequest is the request type for the UpdateDomain API operation.

func (UpdateDomainRequest) Send added in v0.18.0 

func (r UpdateDomainRequest) Send(ctx context.Context) (*UpdateDomainResponse, error)

Send marshals and sends the UpdateDomain API request.

type UpdateDomainResponse added in v0.18.0 

type UpdateDomainResponse struct {
	*UpdateDomainOutput
	// contains filtered or unexported fields
}

UpdateDomainResponse is the response type for the UpdateDomain API operation.

func (*UpdateDomainResponse) SDKResponseMetdata added in v0.18.0 

func (r *UpdateDomainResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the UpdateDomain request.

type UpdateEndpointInput 

type UpdateEndpointInput struct {

	// The name of the new endpoint configuration.
	//
	// EndpointConfigName is a required field
	EndpointConfigName *string `type:"string" required:"true"`

	// The name of the endpoint whose configuration you want to update.
	//
	// EndpointName is a required field
	EndpointName *string `type:"string" required:"true"`

	// When you are updating endpoint resources with UpdateEndpointInput$RetainAllVariantProperties,
	// whose value is set to true, ExcludeRetainedVariantProperties specifies the
	// list of type VariantProperty to override with the values provided by EndpointConfig.
	// If you don't specify a value for ExcludeAllVariantProperties, no variant
	// properties are overridden.
	ExcludeRetainedVariantProperties []VariantProperty `type:"list"`

	// When updating endpoint resources, enables or disables the retention of variant
	// properties, such as the instance count or the variant weight. To retain the
	// variant properties of an endpoint when updating it, set RetainAllVariantProperties
	// to true. To use the variant properties specified in a new EndpointConfig
	// call when updating an endpoint, set RetainAllVariantProperties to false.
	RetainAllVariantProperties *bool `type:"boolean"`
	// contains filtered or unexported fields
}

func (UpdateEndpointInput) String 

func (s UpdateEndpointInput) String() string

String returns the string representation

func (*UpdateEndpointInput) Validate 

func (s *UpdateEndpointInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type UpdateEndpointOutput 

type UpdateEndpointOutput struct {

	// The Amazon Resource Name (ARN) of the endpoint.
	//
	// EndpointArn is a required field
	EndpointArn *string `min:"20" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (UpdateEndpointOutput) String 

func (s UpdateEndpointOutput) String() string

String returns the string representation

type UpdateEndpointRequest 

type UpdateEndpointRequest struct {
	*aws.Request
	Input *UpdateEndpointInput
	Copy  func(*UpdateEndpointInput) UpdateEndpointRequest
}

UpdateEndpointRequest is the request type for the UpdateEndpoint API operation.

func (UpdateEndpointRequest) Send 

func (r UpdateEndpointRequest) Send(ctx context.Context) (*UpdateEndpointResponse, error)

Send marshals and sends the UpdateEndpoint API request.

type UpdateEndpointResponse added in v0.9.0 

type UpdateEndpointResponse struct {
	*UpdateEndpointOutput
	// contains filtered or unexported fields
}

UpdateEndpointResponse is the response type for the UpdateEndpoint API operation.

func (*UpdateEndpointResponse) SDKResponseMetdata added in v0.9.0 

func (r *UpdateEndpointResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the UpdateEndpoint request.

type UpdateEndpointWeightsAndCapacitiesInput 

type UpdateEndpointWeightsAndCapacitiesInput struct {

	// An object that provides new capacity and weight values for a variant.
	//
	// DesiredWeightsAndCapacities is a required field
	DesiredWeightsAndCapacities []DesiredWeightAndCapacity `min:"1" type:"list" required:"true"`

	// The name of an existing Amazon SageMaker endpoint.
	//
	// EndpointName is a required field
	EndpointName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (UpdateEndpointWeightsAndCapacitiesInput) String 

func (s UpdateEndpointWeightsAndCapacitiesInput) String() string

String returns the string representation

func (*UpdateEndpointWeightsAndCapacitiesInput) Validate 

func (s *UpdateEndpointWeightsAndCapacitiesInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type UpdateEndpointWeightsAndCapacitiesOutput 

type UpdateEndpointWeightsAndCapacitiesOutput struct {

	// The Amazon Resource Name (ARN) of the updated endpoint.
	//
	// EndpointArn is a required field
	EndpointArn *string `min:"20" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (UpdateEndpointWeightsAndCapacitiesOutput) String 

func (s UpdateEndpointWeightsAndCapacitiesOutput) String() string

String returns the string representation

type UpdateEndpointWeightsAndCapacitiesRequest 

type UpdateEndpointWeightsAndCapacitiesRequest struct {
	*aws.Request
	Input *UpdateEndpointWeightsAndCapacitiesInput
	Copy  func(*UpdateEndpointWeightsAndCapacitiesInput) UpdateEndpointWeightsAndCapacitiesRequest
}

UpdateEndpointWeightsAndCapacitiesRequest is the request type for the UpdateEndpointWeightsAndCapacities API operation.

func (UpdateEndpointWeightsAndCapacitiesRequest) Send 

func (r UpdateEndpointWeightsAndCapacitiesRequest) Send(ctx context.Context) (*UpdateEndpointWeightsAndCapacitiesResponse, error)

Send marshals and sends the UpdateEndpointWeightsAndCapacities API request.

type UpdateEndpointWeightsAndCapacitiesResponse added in v0.9.0 

type UpdateEndpointWeightsAndCapacitiesResponse struct {
	*UpdateEndpointWeightsAndCapacitiesOutput
	// contains filtered or unexported fields
}

UpdateEndpointWeightsAndCapacitiesResponse is the response type for the UpdateEndpointWeightsAndCapacities API operation.

func (*UpdateEndpointWeightsAndCapacitiesResponse) SDKResponseMetdata added in v0.9.0 

func (r *UpdateEndpointWeightsAndCapacitiesResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the UpdateEndpointWeightsAndCapacities request.

type UpdateExperimentInput added in v0.18.0 

type UpdateExperimentInput struct {

	// The description of the experiment.
	Description *string `type:"string"`

	// The name of the experiment as displayed. The name doesn't need to be unique.
	// If DisplayName isn't specified, ExperimentName is displayed.
	DisplayName *string `min:"1" type:"string"`

	// The name of the experiment to update.
	//
	// ExperimentName is a required field
	ExperimentName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (UpdateExperimentInput) String added in v0.18.0 

func (s UpdateExperimentInput) String() string

String returns the string representation

func (*UpdateExperimentInput) Validate added in v0.18.0 

func (s *UpdateExperimentInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type UpdateExperimentOutput added in v0.18.0 

type UpdateExperimentOutput struct {

	// The Amazon Resource Name (ARN) of the experiment.
	ExperimentArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (UpdateExperimentOutput) String added in v0.18.0 

func (s UpdateExperimentOutput) String() string

String returns the string representation

type UpdateExperimentRequest added in v0.18.0 

type UpdateExperimentRequest struct {
	*aws.Request
	Input *UpdateExperimentInput
	Copy  func(*UpdateExperimentInput) UpdateExperimentRequest
}

UpdateExperimentRequest is the request type for the UpdateExperiment API operation.

func (UpdateExperimentRequest) Send added in v0.18.0 

func (r UpdateExperimentRequest) Send(ctx context.Context) (*UpdateExperimentResponse, error)

Send marshals and sends the UpdateExperiment API request.

type UpdateExperimentResponse added in v0.18.0 

type UpdateExperimentResponse struct {
	*UpdateExperimentOutput
	// contains filtered or unexported fields
}

UpdateExperimentResponse is the response type for the UpdateExperiment API operation.

func (*UpdateExperimentResponse) SDKResponseMetdata added in v0.18.0 

func (r *UpdateExperimentResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the UpdateExperiment request.

type UpdateMonitoringScheduleInput added in v0.18.0 

type UpdateMonitoringScheduleInput struct {

	// The configuration object that specifies the monitoring schedule and defines
	// the monitoring job.
	//
	// MonitoringScheduleConfig is a required field
	MonitoringScheduleConfig *MonitoringScheduleConfig `type:"structure" required:"true"`

	// The name of the monitoring schedule. The name must be unique within an AWS
	// Region within an AWS account.
	//
	// MonitoringScheduleName is a required field
	MonitoringScheduleName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (UpdateMonitoringScheduleInput) String added in v0.18.0 

func (s UpdateMonitoringScheduleInput) String() string

String returns the string representation

func (*UpdateMonitoringScheduleInput) Validate added in v0.18.0 

func (s *UpdateMonitoringScheduleInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type UpdateMonitoringScheduleOutput added in v0.18.0 

type UpdateMonitoringScheduleOutput struct {

	// The Amazon Resource Name (ARN) of the monitoring schedule.
	//
	// MonitoringScheduleArn is a required field
	MonitoringScheduleArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (UpdateMonitoringScheduleOutput) String added in v0.18.0 

func (s UpdateMonitoringScheduleOutput) String() string

String returns the string representation

type UpdateMonitoringScheduleRequest added in v0.18.0 

type UpdateMonitoringScheduleRequest struct {
	*aws.Request
	Input *UpdateMonitoringScheduleInput
	Copy  func(*UpdateMonitoringScheduleInput) UpdateMonitoringScheduleRequest
}

UpdateMonitoringScheduleRequest is the request type for the UpdateMonitoringSchedule API operation.

func (UpdateMonitoringScheduleRequest) Send added in v0.18.0 

func (r UpdateMonitoringScheduleRequest) Send(ctx context.Context) (*UpdateMonitoringScheduleResponse, error)

Send marshals and sends the UpdateMonitoringSchedule API request.

type UpdateMonitoringScheduleResponse added in v0.18.0 

type UpdateMonitoringScheduleResponse struct {
	*UpdateMonitoringScheduleOutput
	// contains filtered or unexported fields
}

UpdateMonitoringScheduleResponse is the response type for the UpdateMonitoringSchedule API operation.

func (*UpdateMonitoringScheduleResponse) SDKResponseMetdata added in v0.18.0 

func (r *UpdateMonitoringScheduleResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the UpdateMonitoringSchedule request.

type UpdateNotebookInstanceInput 

type UpdateNotebookInstanceInput struct {

	// A list of the Elastic Inference (EI) instance types to associate with this
	// notebook instance. Currently only one EI instance type can be associated
	// with a notebook instance. For more information, see Using Elastic Inference
	// in Amazon SageMaker (https://docs.aws.amazon.com/sagemaker/latest/dg/ei.html).
	AcceleratorTypes []NotebookInstanceAcceleratorType `type:"list"`

	// An array of up to three Git repositories to associate with the notebook instance.
	// These can be either the names of Git repositories stored as resources in
	// your account, or the URL of Git repositories in AWS CodeCommit (https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html)
	// or in any other Git repository. These repositories are cloned at the same
	// level as the default repository of your notebook instance. For more information,
	// see Associating Git Repositories with Amazon SageMaker Notebook Instances
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html).
	AdditionalCodeRepositories []string `type:"list"`

	// The Git repository to associate with the notebook instance as its default
	// code repository. This can be either the name of a Git repository stored as
	// a resource in your account, or the URL of a Git repository in AWS CodeCommit
	// (https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html) or
	// in any other Git repository. When you open a notebook instance, it opens
	// in the directory that contains this repository. For more information, see
	// Associating Git Repositories with Amazon SageMaker Notebook Instances (https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html).
	DefaultCodeRepository *string `min:"1" type:"string"`

	// A list of the Elastic Inference (EI) instance types to remove from this notebook
	// instance. This operation is idempotent. If you specify an accelerator type
	// that is not associated with the notebook instance when you call this method,
	// it does not throw an error.
	DisassociateAcceleratorTypes *bool `type:"boolean"`

	// A list of names or URLs of the default Git repositories to remove from this
	// notebook instance. This operation is idempotent. If you specify a Git repository
	// that is not associated with the notebook instance when you call this method,
	// it does not throw an error.
	DisassociateAdditionalCodeRepositories *bool `type:"boolean"`

	// The name or URL of the default Git repository to remove from this notebook
	// instance. This operation is idempotent. If you specify a Git repository that
	// is not associated with the notebook instance when you call this method, it
	// does not throw an error.
	DisassociateDefaultCodeRepository *bool `type:"boolean"`

	// Set to true to remove the notebook instance lifecycle configuration currently
	// associated with the notebook instance. This operation is idempotent. If you
	// specify a lifecycle configuration that is not associated with the notebook
	// instance when you call this method, it does not throw an error.
	DisassociateLifecycleConfig *bool `type:"boolean"`

	// The Amazon ML compute instance type.
	InstanceType InstanceType `type:"string" enum:"true"`

	// The name of a lifecycle configuration to associate with the notebook instance.
	// For information about lifestyle configurations, see Step 2.1: (Optional)
	// Customize a Notebook Instance (https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html).
	LifecycleConfigName *string `type:"string"`

	// The name of the notebook instance to update.
	//
	// NotebookInstanceName is a required field
	NotebookInstanceName *string `type:"string" required:"true"`

	// The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can
	// assume to access the notebook instance. For more information, see Amazon
	// SageMaker Roles (https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html).
	//
	// To be able to pass this role to Amazon SageMaker, the caller of this API
	// must have the iam:PassRole permission.
	RoleArn *string `min:"20" type:"string"`

	// Whether root access is enabled or disabled for users of the notebook instance.
	// The default value is Enabled.
	//
	// If you set this to Disabled, users don't have root access on the notebook
	// instance, but lifecycle configuration scripts still run with root permissions.
	RootAccess RootAccess `type:"string" enum:"true"`

	// The size, in GB, of the ML storage volume to attach to the notebook instance.
	// The default value is 5 GB. ML storage volumes are encrypted, so Amazon SageMaker
	// can't determine the amount of available free space on the volume. Because
	// of this, you can increase the volume size when you update a notebook instance,
	// but you can't decrease the volume size. If you want to decrease the size
	// of the ML storage volume in use, create a new notebook instance with the
	// desired size.
	VolumeSizeInGB *int64 `min:"5" type:"integer"`
	// contains filtered or unexported fields
}

func (UpdateNotebookInstanceInput) String 

func (s UpdateNotebookInstanceInput) String() string

String returns the string representation

func (*UpdateNotebookInstanceInput) Validate 

func (s *UpdateNotebookInstanceInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type UpdateNotebookInstanceLifecycleConfigInput added in v0.4.0 

type UpdateNotebookInstanceLifecycleConfigInput struct {

	// The name of the lifecycle configuration.
	//
	// NotebookInstanceLifecycleConfigName is a required field
	NotebookInstanceLifecycleConfigName *string `type:"string" required:"true"`

	// The shell script that runs only once, when you create a notebook instance.
	// The shell script must be a base64-encoded string.
	OnCreate []NotebookInstanceLifecycleHook `type:"list"`

	// The shell script that runs every time you start a notebook instance, including
	// when you create the notebook instance. The shell script must be a base64-encoded
	// string.
	OnStart []NotebookInstanceLifecycleHook `type:"list"`
	// contains filtered or unexported fields
}

func (UpdateNotebookInstanceLifecycleConfigInput) String added in v0.4.0 

func (s UpdateNotebookInstanceLifecycleConfigInput) String() string

String returns the string representation

func (*UpdateNotebookInstanceLifecycleConfigInput) Validate added in v0.4.0 

func (s *UpdateNotebookInstanceLifecycleConfigInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type UpdateNotebookInstanceLifecycleConfigOutput added in v0.4.0 

type UpdateNotebookInstanceLifecycleConfigOutput struct {
	// contains filtered or unexported fields
}

func (UpdateNotebookInstanceLifecycleConfigOutput) String added in v0.4.0 

func (s UpdateNotebookInstanceLifecycleConfigOutput) String() string

String returns the string representation

type UpdateNotebookInstanceLifecycleConfigRequest added in v0.4.0 

type UpdateNotebookInstanceLifecycleConfigRequest struct {
	*aws.Request
	Input *UpdateNotebookInstanceLifecycleConfigInput
	Copy  func(*UpdateNotebookInstanceLifecycleConfigInput) UpdateNotebookInstanceLifecycleConfigRequest
}

UpdateNotebookInstanceLifecycleConfigRequest is the request type for the UpdateNotebookInstanceLifecycleConfig API operation.

func (UpdateNotebookInstanceLifecycleConfigRequest) Send added in v0.4.0 

func (r UpdateNotebookInstanceLifecycleConfigRequest) Send(ctx context.Context) (*UpdateNotebookInstanceLifecycleConfigResponse, error)

Send marshals and sends the UpdateNotebookInstanceLifecycleConfig API request.

type UpdateNotebookInstanceLifecycleConfigResponse added in v0.9.0 

type UpdateNotebookInstanceLifecycleConfigResponse struct {
	*UpdateNotebookInstanceLifecycleConfigOutput
	// contains filtered or unexported fields
}

UpdateNotebookInstanceLifecycleConfigResponse is the response type for the UpdateNotebookInstanceLifecycleConfig API operation.

func (*UpdateNotebookInstanceLifecycleConfigResponse) SDKResponseMetdata added in v0.9.0 

func (r *UpdateNotebookInstanceLifecycleConfigResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the UpdateNotebookInstanceLifecycleConfig request.

type UpdateNotebookInstanceOutput 

type UpdateNotebookInstanceOutput struct {
	// contains filtered or unexported fields
}

func (UpdateNotebookInstanceOutput) String 

func (s UpdateNotebookInstanceOutput) String() string

String returns the string representation

type UpdateNotebookInstanceRequest 

type UpdateNotebookInstanceRequest struct {
	*aws.Request
	Input *UpdateNotebookInstanceInput
	Copy  func(*UpdateNotebookInstanceInput) UpdateNotebookInstanceRequest
}

UpdateNotebookInstanceRequest is the request type for the UpdateNotebookInstance API operation.

func (UpdateNotebookInstanceRequest) Send 

func (r UpdateNotebookInstanceRequest) Send(ctx context.Context) (*UpdateNotebookInstanceResponse, error)

Send marshals and sends the UpdateNotebookInstance API request.

type UpdateNotebookInstanceResponse added in v0.9.0 

type UpdateNotebookInstanceResponse struct {
	*UpdateNotebookInstanceOutput
	// contains filtered or unexported fields
}

UpdateNotebookInstanceResponse is the response type for the UpdateNotebookInstance API operation.

func (*UpdateNotebookInstanceResponse) SDKResponseMetdata added in v0.9.0 

func (r *UpdateNotebookInstanceResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the UpdateNotebookInstance request.

type UpdateTrialComponentInput added in v0.18.0 

type UpdateTrialComponentInput struct {

	// The name of the component as displayed. The name doesn't need to be unique.
	// If DisplayName isn't specified, TrialComponentName is displayed.
	DisplayName *string `min:"1" type:"string"`

	// When the component ended.
	EndTime *time.Time `type:"timestamp"`

	// Replaces all of the component's input artifacts with the specified artifacts.
	InputArtifacts map[string]TrialComponentArtifact `type:"map"`

	// The input artifacts to remove from the component.
	InputArtifactsToRemove []string `type:"list"`

	// Replaces all of the component's output artifacts with the specified artifacts.
	OutputArtifacts map[string]TrialComponentArtifact `type:"map"`

	// The output artifacts to remove from the component.
	OutputArtifactsToRemove []string `type:"list"`

	// Replaces all of the component's hyperparameters with the specified hyperparameters.
	Parameters map[string]TrialComponentParameterValue `type:"map"`

	// The hyperparameters to remove from the component.
	ParametersToRemove []string `type:"list"`

	// When the component started.
	StartTime *time.Time `type:"timestamp"`

	// The new status of the component.
	Status *TrialComponentStatus `type:"structure"`

	// The name of the component to update.
	//
	// TrialComponentName is a required field
	TrialComponentName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (UpdateTrialComponentInput) String added in v0.18.0 

func (s UpdateTrialComponentInput) String() string

String returns the string representation

func (*UpdateTrialComponentInput) Validate added in v0.18.0 

func (s *UpdateTrialComponentInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type UpdateTrialComponentOutput added in v0.18.0 

type UpdateTrialComponentOutput struct {

	// The Amazon Resource Name (ARN) of the trial component.
	TrialComponentArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (UpdateTrialComponentOutput) String added in v0.18.0 

func (s UpdateTrialComponentOutput) String() string

String returns the string representation

type UpdateTrialComponentRequest added in v0.18.0 

type UpdateTrialComponentRequest struct {
	*aws.Request
	Input *UpdateTrialComponentInput
	Copy  func(*UpdateTrialComponentInput) UpdateTrialComponentRequest
}

UpdateTrialComponentRequest is the request type for the UpdateTrialComponent API operation.

func (UpdateTrialComponentRequest) Send added in v0.18.0 

func (r UpdateTrialComponentRequest) Send(ctx context.Context) (*UpdateTrialComponentResponse, error)

Send marshals and sends the UpdateTrialComponent API request.

type UpdateTrialComponentResponse added in v0.18.0 

type UpdateTrialComponentResponse struct {
	*UpdateTrialComponentOutput
	// contains filtered or unexported fields
}

UpdateTrialComponentResponse is the response type for the UpdateTrialComponent API operation.

func (*UpdateTrialComponentResponse) SDKResponseMetdata added in v0.18.0 

func (r *UpdateTrialComponentResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the UpdateTrialComponent request.

type UpdateTrialInput added in v0.18.0 

type UpdateTrialInput struct {

	// The name of the trial as displayed. The name doesn't need to be unique. If
	// DisplayName isn't specified, TrialName is displayed.
	DisplayName *string `min:"1" type:"string"`

	// The name of the trial to update.
	//
	// TrialName is a required field
	TrialName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (UpdateTrialInput) String added in v0.18.0 

func (s UpdateTrialInput) String() string

String returns the string representation

func (*UpdateTrialInput) Validate added in v0.18.0 

func (s *UpdateTrialInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type UpdateTrialOutput added in v0.18.0 

type UpdateTrialOutput struct {

	// The Amazon Resource Name (ARN) of the trial.
	TrialArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (UpdateTrialOutput) String added in v0.18.0 

func (s UpdateTrialOutput) String() string

String returns the string representation

type UpdateTrialRequest added in v0.18.0 

type UpdateTrialRequest struct {
	*aws.Request
	Input *UpdateTrialInput
	Copy  func(*UpdateTrialInput) UpdateTrialRequest
}

UpdateTrialRequest is the request type for the UpdateTrial API operation.

func (UpdateTrialRequest) Send added in v0.18.0 

func (r UpdateTrialRequest) Send(ctx context.Context) (*UpdateTrialResponse, error)

Send marshals and sends the UpdateTrial API request.

type UpdateTrialResponse added in v0.18.0 

type UpdateTrialResponse struct {
	*UpdateTrialOutput
	// contains filtered or unexported fields
}

UpdateTrialResponse is the response type for the UpdateTrial API operation.

func (*UpdateTrialResponse) SDKResponseMetdata added in v0.18.0 

func (r *UpdateTrialResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the UpdateTrial request.

type UpdateUserProfileInput added in v0.18.0 

type UpdateUserProfileInput struct {

	// The domain ID.
	//
	// DomainId is a required field
	DomainId *string `type:"string" required:"true"`

	// The user profile name.
	//
	// UserProfileName is a required field
	UserProfileName *string `type:"string" required:"true"`

	// A collection of settings.
	UserSettings *UserSettings `type:"structure"`
	// contains filtered or unexported fields
}

func (UpdateUserProfileInput) String added in v0.18.0 

func (s UpdateUserProfileInput) String() string

String returns the string representation

func (*UpdateUserProfileInput) Validate added in v0.18.0 

func (s *UpdateUserProfileInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type UpdateUserProfileOutput added in v0.18.0 

type UpdateUserProfileOutput struct {

	// The user profile Amazon Resource Name (ARN).
	UserProfileArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (UpdateUserProfileOutput) String added in v0.18.0 

func (s UpdateUserProfileOutput) String() string

String returns the string representation

type UpdateUserProfileRequest added in v0.18.0 

type UpdateUserProfileRequest struct {
	*aws.Request
	Input *UpdateUserProfileInput
	Copy  func(*UpdateUserProfileInput) UpdateUserProfileRequest
}

UpdateUserProfileRequest is the request type for the UpdateUserProfile API operation.

func (UpdateUserProfileRequest) Send added in v0.18.0 

func (r UpdateUserProfileRequest) Send(ctx context.Context) (*UpdateUserProfileResponse, error)

Send marshals and sends the UpdateUserProfile API request.

type UpdateUserProfileResponse added in v0.18.0 

type UpdateUserProfileResponse struct {
	*UpdateUserProfileOutput
	// contains filtered or unexported fields
}

UpdateUserProfileResponse is the response type for the UpdateUserProfile API operation.

func (*UpdateUserProfileResponse) SDKResponseMetdata added in v0.18.0 

func (r *UpdateUserProfileResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the UpdateUserProfile request.

type UpdateWorkforceInput added in v0.19.0 

type UpdateWorkforceInput struct {

	// A list of one to ten worker IP address ranges (CIDRs (https://docs.aws.amazon.com/vpc/latest/userguide/VPC_Subnets.html))
	// that can be used to access tasks assigned to this workforce.
	//
	// Maximum: Ten CIDR values
	SourceIpConfig *SourceIpConfig `type:"structure"`

	// The name of the private workforce whose access you want to restrict. WorkforceName
	// is automatically set to default when a workforce is created and cannot be
	// modified.
	//
	// WorkforceName is a required field
	WorkforceName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (UpdateWorkforceInput) String added in v0.19.0 

func (s UpdateWorkforceInput) String() string

String returns the string representation

func (*UpdateWorkforceInput) Validate added in v0.19.0 

func (s *UpdateWorkforceInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type UpdateWorkforceOutput added in v0.19.0 

type UpdateWorkforceOutput struct {

	// A single private workforce, which is automatically created when you create
	// your first private work team. You can create one private work force in each
	// AWS Region. By default, any workforce-related API operation used in a specific
	// region will apply to the workforce created in that region. To learn how to
	// create a private workforce, see Create a Private Workforce (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-workforce-create-private.html).
	//
	// Workforce is a required field
	Workforce *Workforce `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

func (UpdateWorkforceOutput) String added in v0.19.0 

func (s UpdateWorkforceOutput) String() string

String returns the string representation

type UpdateWorkforceRequest added in v0.19.0 

type UpdateWorkforceRequest struct {
	*aws.Request
	Input *UpdateWorkforceInput
	Copy  func(*UpdateWorkforceInput) UpdateWorkforceRequest
}

UpdateWorkforceRequest is the request type for the UpdateWorkforce API operation.

func (UpdateWorkforceRequest) Send added in v0.19.0 

func (r UpdateWorkforceRequest) Send(ctx context.Context) (*UpdateWorkforceResponse, error)

Send marshals and sends the UpdateWorkforce API request.

type UpdateWorkforceResponse added in v0.19.0 

type UpdateWorkforceResponse struct {
	*UpdateWorkforceOutput
	// contains filtered or unexported fields
}

UpdateWorkforceResponse is the response type for the UpdateWorkforce API operation.

func (*UpdateWorkforceResponse) SDKResponseMetdata added in v0.19.0 

func (r *UpdateWorkforceResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the UpdateWorkforce request.

type UpdateWorkteamInput added in v0.6.0 

type UpdateWorkteamInput struct {

	// An updated description for the work team.
	Description *string `min:"1" type:"string"`

	// A list of MemberDefinition objects that contain the updated work team members.
	MemberDefinitions []MemberDefinition `min:"1" type:"list"`

	// Configures SNS topic notifications for available or expiring work items
	NotificationConfiguration *NotificationConfiguration `type:"structure"`

	// The name of the work team to update.
	//
	// WorkteamName is a required field
	WorkteamName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (UpdateWorkteamInput) String added in v0.6.0 

func (s UpdateWorkteamInput) String() string

String returns the string representation

func (*UpdateWorkteamInput) Validate added in v0.6.0 

func (s *UpdateWorkteamInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type UpdateWorkteamOutput added in v0.6.0 

type UpdateWorkteamOutput struct {

	// A Workteam object that describes the updated work team.
	//
	// Workteam is a required field
	Workteam *Workteam `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

func (UpdateWorkteamOutput) String added in v0.6.0 

func (s UpdateWorkteamOutput) String() string

String returns the string representation

type UpdateWorkteamRequest added in v0.6.0 

type UpdateWorkteamRequest struct {
	*aws.Request
	Input *UpdateWorkteamInput
	Copy  func(*UpdateWorkteamInput) UpdateWorkteamRequest
}

UpdateWorkteamRequest is the request type for the UpdateWorkteam API operation.

func (UpdateWorkteamRequest) Send added in v0.6.0 

func (r UpdateWorkteamRequest) Send(ctx context.Context) (*UpdateWorkteamResponse, error)

Send marshals and sends the UpdateWorkteam API request.

type UpdateWorkteamResponse added in v0.9.0 

type UpdateWorkteamResponse struct {
	*UpdateWorkteamOutput
	// contains filtered or unexported fields
}

UpdateWorkteamResponse is the response type for the UpdateWorkteam API operation.

func (*UpdateWorkteamResponse) SDKResponseMetdata added in v0.9.0 

func (r *UpdateWorkteamResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the UpdateWorkteam request.

type UserContext added in v0.18.0 

type UserContext struct {

	// The domain associated with the user.
	DomainId *string `type:"string"`

	// The Amazon Resource Name (ARN) of the user's profile.
	UserProfileArn *string `type:"string"`

	// The name of the user's profile.
	UserProfileName *string `type:"string"`
	// contains filtered or unexported fields
}

Information about the user who created or modified an experiment, trial, or trial component.

func (UserContext) String added in v0.18.0 

func (s UserContext) String() string

String returns the string representation

type UserProfileDetails added in v0.18.0 

type UserProfileDetails struct {

	// The creation time.
	CreationTime *time.Time `type:"timestamp"`

	// The domain ID.
	DomainId *string `type:"string"`

	// The last modified time.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The status.
	Status UserProfileStatus `type:"string" enum:"true"`

	// The user profile name.
	UserProfileName *string `type:"string"`
	// contains filtered or unexported fields
}

The user profile details.

func (UserProfileDetails) String added in v0.18.0 

func (s UserProfileDetails) String() string

String returns the string representation

type UserProfileSortKey added in v0.18.0 

type UserProfileSortKey string
const (
	UserProfileSortKeyCreationTime     UserProfileSortKey = "CreationTime"
	UserProfileSortKeyLastModifiedTime UserProfileSortKey = "LastModifiedTime"
)

Enum values for UserProfileSortKey

func (UserProfileSortKey) MarshalValue added in v0.18.0 

func (enum UserProfileSortKey) MarshalValue() (string, error)

func (UserProfileSortKey) MarshalValueBuf added in v0.18.0 

func (enum UserProfileSortKey) MarshalValueBuf(b []byte) ([]byte, error)

type UserProfileStatus added in v0.18.0 

type UserProfileStatus string
const (
	UserProfileStatusDeleting  UserProfileStatus = "Deleting"
	UserProfileStatusFailed    UserProfileStatus = "Failed"
	UserProfileStatusInService UserProfileStatus = "InService"
	UserProfileStatusPending   UserProfileStatus = "Pending"
)

Enum values for UserProfileStatus

func (UserProfileStatus) MarshalValue added in v0.18.0 

func (enum UserProfileStatus) MarshalValue() (string, error)

func (UserProfileStatus) MarshalValueBuf added in v0.18.0 

func (enum UserProfileStatus) MarshalValueBuf(b []byte) ([]byte, error)

type UserSettings added in v0.18.0 

type UserSettings struct {

	// The execution role for the user.
	ExecutionRole *string `min:"20" type:"string"`

	// The Jupyter server's app settings.
	JupyterServerAppSettings *JupyterServerAppSettings `type:"structure"`

	// The kernel gateway app settings.
	KernelGatewayAppSettings *KernelGatewayAppSettings `type:"structure"`

	// The security groups.
	SecurityGroups []string `type:"list"`

	// The sharing settings.
	SharingSettings *SharingSettings `type:"structure"`

	// The TensorBoard app settings.
	TensorBoardAppSettings *TensorBoardAppSettings `type:"structure"`
	// contains filtered or unexported fields
}

A collection of settings.

func (UserSettings) String added in v0.18.0 

func (s UserSettings) String() string

String returns the string representation

func (*UserSettings) Validate added in v0.18.0 

func (s *UserSettings) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type VariantProperty added in v0.20.0 

type VariantProperty struct {

	// The type of variant property. The supported values are:
	//
	//    * DesiredInstanceCount: Overrides the existing variant instance counts
	//    using the ProductionVariant$InitialInstanceCount values in the CreateEndpointConfigInput$ProductionVariants.
	//
	//    * DesiredWeight: Overrides the existing variant weights using the ProductionVariant$InitialVariantWeight
	//    values in the CreateEndpointConfigInput$ProductionVariants.
	//
	//    * DataCaptureConfig: (Not currently supported.)
	//
	// VariantPropertyType is a required field
	VariantPropertyType VariantPropertyType `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Specifies a production variant property type for an Endpoint.

If you are updating an endpoint with the UpdateEndpointInput$RetainAllVariantProperties option set to true, the VariantProperty objects listed in UpdateEndpointInput$ExcludeRetainedVariantProperties override the existing variant properties of the endpoint.

func (VariantProperty) String added in v0.20.0 

func (s VariantProperty) String() string

String returns the string representation

func (*VariantProperty) Validate added in v0.20.0 

func (s *VariantProperty) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type VariantPropertyType added in v0.20.0 

type VariantPropertyType string
const (
	VariantPropertyTypeDesiredInstanceCount VariantPropertyType = "DesiredInstanceCount"
	VariantPropertyTypeDesiredWeight        VariantPropertyType = "DesiredWeight"
	VariantPropertyTypeDataCaptureConfig    VariantPropertyType = "DataCaptureConfig"
)

Enum values for VariantPropertyType

func (VariantPropertyType) MarshalValue added in v0.20.0 

func (enum VariantPropertyType) MarshalValue() (string, error)

func (VariantPropertyType) MarshalValueBuf added in v0.20.0 

func (enum VariantPropertyType) MarshalValueBuf(b []byte) ([]byte, error)

type VpcConfig added in v0.4.0 

type VpcConfig struct {

	// The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security
	// groups for the VPC that is specified in the Subnets field.
	//
	// SecurityGroupIds is a required field
	SecurityGroupIds []string `min:"1" type:"list" required:"true"`

	// The ID of the subnets in the VPC to which you want to connect your training
	// job or model. For information about the availability of specific instance
	// types, see Supported Instance Types and Availability Zones (https://docs.aws.amazon.com/sagemaker/latest/dg/instance-types-az.html).
	//
	// Subnets is a required field
	Subnets []string `min:"1" type:"list" required:"true"`
	// contains filtered or unexported fields
}

Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud (https://docs.aws.amazon.com/sagemaker/latest/dg/host-vpc.html) and Protect Training Jobs by Using an Amazon Virtual Private Cloud (https://docs.aws.amazon.com/sagemaker/latest/dg/train-vpc.html).

func (VpcConfig) String added in v0.4.0 

func (s VpcConfig) String() string

String returns the string representation

func (*VpcConfig) Validate added in v0.4.0 

func (s *VpcConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type Workforce added in v0.19.0 

type Workforce struct {

	// The most recent date that was used to successfully add one or more IP address
	// ranges (CIDRs (https://docs.aws.amazon.com/vpc/latest/userguide/VPC_Subnets.html))
	// to a private workforce's allow list.
	LastUpdatedDate *time.Time `type:"timestamp"`

	// A list of one to ten IP address ranges (CIDRs (https://docs.aws.amazon.com/vpc/latest/userguide/VPC_Subnets.html))
	// to be added to the workforce allow list.
	SourceIpConfig *SourceIpConfig `type:"structure"`

	// The Amazon Resource Name (ARN) of the private workforce.
	//
	// WorkforceArn is a required field
	WorkforceArn *string `type:"string" required:"true"`

	// The name of the private workforce whose access you want to restrict. WorkforceName
	// is automatically set to default when a workforce is created and cannot be
	// modified.
	//
	// WorkforceName is a required field
	WorkforceName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

A single private workforce, which is automatically created when you create your first private work team. You can create one private work force in each AWS Region. By default, any workforce-related API operation used in a specific region will apply to the workforce created in that region. To learn how to create a private workforce, see Create a Private Workforce (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-workforce-create-private.html).

func (Workforce) String added in v0.19.0 

func (s Workforce) String() string

String returns the string representation

type Workteam added in v0.6.0 

type Workteam struct {

	// The date and time that the work team was created (timestamp).
	CreateDate *time.Time `type:"timestamp"`

	// A description of the work team.
	//
	// Description is a required field
	Description *string `min:"1" type:"string" required:"true"`

	// The date and time that the work team was last updated (timestamp).
	LastUpdatedDate *time.Time `type:"timestamp"`

	// The Amazon Cognito user groups that make up the work team.
	//
	// MemberDefinitions is a required field
	MemberDefinitions []MemberDefinition `min:"1" type:"list" required:"true"`

	// Configures SNS notifications of available or expiring work items for work
	// teams.
	NotificationConfiguration *NotificationConfiguration `type:"structure"`

	// The Amazon Marketplace identifier for a vendor's work team.
	ProductListingIds []string `type:"list"`

	// The URI of the labeling job's user interface. Workers open this URI to start
	// labeling your data objects.
	SubDomain *string `type:"string"`

	// The Amazon Resource Name (ARN) that identifies the work team.
	//
	// WorkteamArn is a required field
	WorkteamArn *string `type:"string" required:"true"`

	// The name of the work team.
	//
	// WorkteamName is a required field
	WorkteamName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

Provides details about a labeling work team.

func (Workteam) String added in v0.6.0 

func (s Workteam) String() string

String returns the string representation

Source Files

View all Source files

Directories

Path Synopsis
Package sagemakeriface provides an interface to enable mocking the Amazon SageMaker Service service client for testing your code.
 Package sagemakeriface provides an interface to enable mocking the Amazon SageMaker Service service client for testing your code.

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