Documentation

Overview

Package forecastservice provides the client and types for making API requests to Amazon Forecast Service.

Provides APIs for creating and managing Amazon Forecast resources.

See https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26 for more information on this service.

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

Using the Client

To contact Amazon Forecast Service 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 Amazon Forecast Service client ForecastService for more information on creating client for this service. https://docs.aws.amazon.com/sdk-for-go/api/service/forecastservice/#New

Index

Constants

View Source
const (
	// AttributeTypeString is a AttributeType enum value
	AttributeTypeString = "string"

	// AttributeTypeInteger is a AttributeType enum value
	AttributeTypeInteger = "integer"

	// AttributeTypeFloat is a AttributeType enum value
	AttributeTypeFloat = "float"

	// AttributeTypeTimestamp is a AttributeType enum value
	AttributeTypeTimestamp = "timestamp"

	// AttributeTypeGeolocation is a AttributeType enum value
	AttributeTypeGeolocation = "geolocation"
)
View Source
const (
	// DatasetTypeTargetTimeSeries is a DatasetType enum value
	DatasetTypeTargetTimeSeries = "TARGET_TIME_SERIES"

	// DatasetTypeRelatedTimeSeries is a DatasetType enum value
	DatasetTypeRelatedTimeSeries = "RELATED_TIME_SERIES"

	// DatasetTypeItemMetadata is a DatasetType enum value
	DatasetTypeItemMetadata = "ITEM_METADATA"
)
View Source
const (
	// DomainRetail is a Domain enum value
	DomainRetail = "RETAIL"

	// DomainCustom is a Domain enum value
	DomainCustom = "CUSTOM"

	// DomainInventoryPlanning is a Domain enum value
	DomainInventoryPlanning = "INVENTORY_PLANNING"

	// DomainEc2Capacity is a Domain enum value
	DomainEc2Capacity = "EC2_CAPACITY"

	// DomainWorkForce is a Domain enum value
	DomainWorkForce = "WORK_FORCE"

	// DomainWebTraffic is a Domain enum value
	DomainWebTraffic = "WEB_TRAFFIC"

	// DomainMetrics is a Domain enum value
	DomainMetrics = "METRICS"
)
View Source
const (
	// EvaluationTypeSummary is a EvaluationType enum value
	EvaluationTypeSummary = "SUMMARY"

	// EvaluationTypeComputed is a EvaluationType enum value
	EvaluationTypeComputed = "COMPUTED"
)
View Source
const (
	// FilterConditionStringIs is a FilterConditionString enum value
	FilterConditionStringIs = "IS"

	// FilterConditionStringIsNot is a FilterConditionString enum value
	FilterConditionStringIsNot = "IS_NOT"
)
View Source
const (
	// ScalingTypeAuto is a ScalingType enum value
	ScalingTypeAuto = "Auto"

	// ScalingTypeLinear is a ScalingType enum value
	ScalingTypeLinear = "Linear"

	// ScalingTypeLogarithmic is a ScalingType enum value
	ScalingTypeLogarithmic = "Logarithmic"

	// ScalingTypeReverseLogarithmic is a ScalingType enum value
	ScalingTypeReverseLogarithmic = "ReverseLogarithmic"
)
View Source
const (

	// ErrCodeInvalidInputException for service response error code
	// "InvalidInputException".
	//
	// We can't process the request because it includes an invalid value or a value
	// that exceeds the valid range.
	ErrCodeInvalidInputException = "InvalidInputException"

	// ErrCodeInvalidNextTokenException for service response error code
	// "InvalidNextTokenException".
	//
	// The token is not valid. Tokens expire after 24 hours.
	ErrCodeInvalidNextTokenException = "InvalidNextTokenException"

	// ErrCodeLimitExceededException for service response error code
	// "LimitExceededException".
	//
	// The limit on the number of resources per account has been exceeded.
	ErrCodeLimitExceededException = "LimitExceededException"

	// ErrCodeResourceAlreadyExistsException for service response error code
	// "ResourceAlreadyExistsException".
	//
	// There is already a resource with this name. Try again with a different name.
	ErrCodeResourceAlreadyExistsException = "ResourceAlreadyExistsException"

	// ErrCodeResourceInUseException for service response error code
	// "ResourceInUseException".
	//
	// The specified resource is in use.
	ErrCodeResourceInUseException = "ResourceInUseException"

	// ErrCodeResourceNotFoundException for service response error code
	// "ResourceNotFoundException".
	//
	// We can't find a resource with that Amazon Resource Name (ARN). Check the
	// ARN and try again.
	ErrCodeResourceNotFoundException = "ResourceNotFoundException"
)
View Source
const (
	ServiceName = "forecast"  // Name of service.
	EndpointsID = ServiceName // ID to lookup a service endpoint with.
	ServiceID   = "forecast"  // ServiceID is a unique identifier of a specific service.
)

Service information constants

View Source
const (
	// FeaturizationMethodNameFilling is a FeaturizationMethodName enum value
	FeaturizationMethodNameFilling = "filling"
)

Variables

This section is empty.

Functions

func AttributeType_Values

func AttributeType_Values() []string

AttributeType_Values returns all elements of the AttributeType enum

func DatasetType_Values

func DatasetType_Values() []string

DatasetType_Values returns all elements of the DatasetType enum

func Domain_Values

func Domain_Values() []string

Domain_Values returns all elements of the Domain enum

func EvaluationType_Values

func EvaluationType_Values() []string

EvaluationType_Values returns all elements of the EvaluationType enum

func FeaturizationMethodName_Values

func FeaturizationMethodName_Values() []string

FeaturizationMethodName_Values returns all elements of the FeaturizationMethodName enum

func FilterConditionString_Values

func FilterConditionString_Values() []string

FilterConditionString_Values returns all elements of the FilterConditionString enum

func ScalingType_Values

func ScalingType_Values() []string

ScalingType_Values returns all elements of the ScalingType enum

Types

type CategoricalParameterRange

type CategoricalParameterRange struct {

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

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

Specifies a categorical hyperparameter and it's range of tunable values. This object is part of the ParameterRanges object.

func (CategoricalParameterRange) GoString

func (s CategoricalParameterRange) GoString() string

GoString returns the string representation

func (*CategoricalParameterRange) SetName

SetName sets the Name field's value.

func (*CategoricalParameterRange) SetValues

SetValues sets the Values field's value.

func (CategoricalParameterRange) String

func (s CategoricalParameterRange) String() string

String returns the string representation

func (*CategoricalParameterRange) Validate

func (s *CategoricalParameterRange) Validate() error

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

type ContinuousParameterRange

type ContinuousParameterRange struct {

	// The maximum tunable value of the hyperparameter.
	//
	// MaxValue is a required field
	MaxValue *float64 `type:"double" required:"true"`

	// The minimum tunable value of the hyperparameter.
	//
	// MinValue is a required field
	MinValue *float64 `type:"double" required:"true"`

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

	// The scale that hyperparameter tuning uses to search the hyperparameter range.
	// Valid values:
	//
	// Auto
	//
	// Amazon Forecast 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 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.
	//
	// For information about choosing a hyperparameter scale, see Hyperparameter
	// Scaling (http://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-ranges.html#scaling-type).
	// One of the following values:
	ScalingType *string `type:"string" enum:"ScalingType"`
	// contains filtered or unexported fields
}

Specifies a continuous hyperparameter and it's range of tunable values. This object is part of the ParameterRanges object.

func (ContinuousParameterRange) GoString

func (s ContinuousParameterRange) GoString() string

GoString returns the string representation

func (*ContinuousParameterRange) SetMaxValue

SetMaxValue sets the MaxValue field's value.

func (*ContinuousParameterRange) SetMinValue

SetMinValue sets the MinValue field's value.

func (*ContinuousParameterRange) SetName

SetName sets the Name field's value.

func (*ContinuousParameterRange) SetScalingType

SetScalingType sets the ScalingType field's value.

func (ContinuousParameterRange) String

func (s ContinuousParameterRange) String() string

String returns the string representation

func (*ContinuousParameterRange) Validate

func (s *ContinuousParameterRange) Validate() error

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

type CreateDatasetGroupInput

type CreateDatasetGroupInput struct {

	// An array of Amazon Resource Names (ARNs) of the datasets that you want to
	// include in the dataset group.
	DatasetArns []*string `type:"list"`

	// A name for the dataset group.
	//
	// DatasetGroupName is a required field
	DatasetGroupName *string `min:"1" type:"string" required:"true"`

	// The domain associated with the dataset group. When you add a dataset to a
	// dataset group, this value and the value specified for the Domain parameter
	// of the CreateDataset operation must match.
	//
	// The Domain and DatasetType that you choose determine the fields that must
	// be present in training data that you import to a dataset. For example, if
	// you choose the RETAIL domain and TARGET_TIME_SERIES as the DatasetType, Amazon
	// Forecast requires that item_id, timestamp, and demand fields are present
	// in your data. For more information, see howitworks-datasets-groups.
	//
	// Domain is a required field
	Domain *string `type:"string" required:"true" enum:"Domain"`

	// The optional metadata that you apply to the dataset group to help you categorize
	// and organize them. Each tag consists of a key and an optional value, both
	// of which you define.
	//
	// The following basic restrictions apply to tags:
	//
	//    * Maximum number of tags per resource - 50.
	//
	//    * For each resource, each tag key must be unique, and each tag key can
	//    have only one value.
	//
	//    * Maximum key length - 128 Unicode characters in UTF-8.
	//
	//    * Maximum value length - 256 Unicode characters in UTF-8.
	//
	//    * If your tagging schema is used across multiple services and resources,
	//    remember that other services may have restrictions on allowed characters.
	//    Generally allowed characters are: letters, numbers, and spaces representable
	//    in UTF-8, and the following characters: + - = . _ : / @.
	//
	//    * Tag keys and values are case sensitive.
	//
	//    * Do not use aws:, AWS:, or any upper or lowercase combination of such
	//    as a prefix for keys as it is reserved for AWS use. You cannot edit or
	//    delete tag keys with this prefix. Values can have this prefix. If a tag
	//    value has aws as its prefix but the key does not, then Forecast considers
	//    it to be a user tag and will count against the limit of 50 tags. Tags
	//    with only the key prefix of aws do not count against your tags per resource
	//    limit.
	Tags []*Tag `type:"list"`
	// contains filtered or unexported fields
}

func (CreateDatasetGroupInput) GoString

func (s CreateDatasetGroupInput) GoString() string

GoString returns the string representation

func (*CreateDatasetGroupInput) SetDatasetArns

func (s *CreateDatasetGroupInput) SetDatasetArns(v []*string) *CreateDatasetGroupInput

SetDatasetArns sets the DatasetArns field's value.

func (*CreateDatasetGroupInput) SetDatasetGroupName

func (s *CreateDatasetGroupInput) SetDatasetGroupName(v string) *CreateDatasetGroupInput

SetDatasetGroupName sets the DatasetGroupName field's value.

func (*CreateDatasetGroupInput) SetDomain

SetDomain sets the Domain field's value.

func (*CreateDatasetGroupInput) SetTags

SetTags sets the Tags field's value.

func (CreateDatasetGroupInput) String

func (s CreateDatasetGroupInput) String() string

String returns the string representation

func (*CreateDatasetGroupInput) Validate

func (s *CreateDatasetGroupInput) Validate() error

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

type CreateDatasetGroupOutput

type CreateDatasetGroupOutput struct {

	// The Amazon Resource Name (ARN) of the dataset group.
	DatasetGroupArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (CreateDatasetGroupOutput) GoString

func (s CreateDatasetGroupOutput) GoString() string

GoString returns the string representation

func (*CreateDatasetGroupOutput) SetDatasetGroupArn

func (s *CreateDatasetGroupOutput) SetDatasetGroupArn(v string) *CreateDatasetGroupOutput

SetDatasetGroupArn sets the DatasetGroupArn field's value.

func (CreateDatasetGroupOutput) String

func (s CreateDatasetGroupOutput) String() string

String returns the string representation

type CreateDatasetImportJobInput

type CreateDatasetImportJobInput struct {

	// The location of the training data to import and an AWS Identity and Access
	// Management (IAM) role that Amazon Forecast can assume to access the data.
	// The training data must be stored in an Amazon S3 bucket.
	//
	// If encryption is used, DataSource must include an AWS Key Management Service
	// (KMS) key and the IAM role must allow Amazon Forecast permission to access
	// the key. The KMS key and IAM role must match those specified in the EncryptionConfig
	// parameter of the CreateDataset operation.
	//
	// DataSource is a required field
	DataSource *DataSource `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) of the Amazon Forecast dataset that you want
	// to import data to.
	//
	// DatasetArn is a required field
	DatasetArn *string `type:"string" required:"true"`

	// The name for the dataset import job. We recommend including the current timestamp
	// in the name, for example, 20190721DatasetImport. This can help you avoid
	// getting a ResourceAlreadyExistsException exception.
	//
	// DatasetImportJobName is a required field
	DatasetImportJobName *string `min:"1" type:"string" required:"true"`

	// The format of the geolocation attribute. The geolocation attribute can be
	// formatted in one of two ways:
	//
	//    * LAT_LONG - the latitude and longitude in decimal format (Example: 47.61_-122.33).
	//
	//    * CC_POSTALCODE (US Only) - the country code (US), followed by the 5-digit
	//    ZIP code (Example: US_98121).
	GeolocationFormat *string `type:"string"`

	// The optional metadata that you apply to the dataset import job to help you
	// categorize and organize them. Each tag consists of a key and an optional
	// value, both of which you define.
	//
	// The following basic restrictions apply to tags:
	//
	//    * Maximum number of tags per resource - 50.
	//
	//    * For each resource, each tag key must be unique, and each tag key can
	//    have only one value.
	//
	//    * Maximum key length - 128 Unicode characters in UTF-8.
	//
	//    * Maximum value length - 256 Unicode characters in UTF-8.
	//
	//    * If your tagging schema is used across multiple services and resources,
	//    remember that other services may have restrictions on allowed characters.
	//    Generally allowed characters are: letters, numbers, and spaces representable
	//    in UTF-8, and the following characters: + - = . _ : / @.
	//
	//    * Tag keys and values are case sensitive.
	//
	//    * Do not use aws:, AWS:, or any upper or lowercase combination of such
	//    as a prefix for keys as it is reserved for AWS use. You cannot edit or
	//    delete tag keys with this prefix. Values can have this prefix. If a tag
	//    value has aws as its prefix but the key does not, then Forecast considers
	//    it to be a user tag and will count against the limit of 50 tags. Tags
	//    with only the key prefix of aws do not count against your tags per resource
	//    limit.
	Tags []*Tag `type:"list"`

	// A single time zone for every item in your dataset. This option is ideal for
	// datasets with all timestamps within a single time zone, or if all timestamps
	// are normalized to a single time zone.
	//
	// Refer to the Joda-Time API (http://joda-time.sourceforge.net/timezones.html)
	// for a complete list of valid time zone names.
	TimeZone *string `type:"string"`

	// The format of timestamps in the dataset. The format that you specify depends
	// on the DataFrequency specified when the dataset was created. The following
	// formats are supported
	//
	//    * "yyyy-MM-dd" For the following data frequencies: Y, M, W, and D
	//
	//    * "yyyy-MM-dd HH:mm:ss" For the following data frequencies: H, 30min,
	//    15min, and 1min; and optionally, for: Y, M, W, and D
	//
	// If the format isn't specified, Amazon Forecast expects the format to be "yyyy-MM-dd
	// HH:mm:ss".
	TimestampFormat *string `type:"string"`

	// Automatically derive time zone information from the geolocation attribute.
	// This option is ideal for datasets that contain timestamps in multiple time
	// zones and those timestamps are expressed in local time.
	UseGeolocationForTimeZone *bool `type:"boolean"`
	// contains filtered or unexported fields
}

func (CreateDatasetImportJobInput) GoString

func (s CreateDatasetImportJobInput) GoString() string

GoString returns the string representation

func (*CreateDatasetImportJobInput) SetDataSource

SetDataSource sets the DataSource field's value.

func (*CreateDatasetImportJobInput) SetDatasetArn

SetDatasetArn sets the DatasetArn field's value.

func (*CreateDatasetImportJobInput) SetDatasetImportJobName

func (s *CreateDatasetImportJobInput) SetDatasetImportJobName(v string) *CreateDatasetImportJobInput

SetDatasetImportJobName sets the DatasetImportJobName field's value.

func (*CreateDatasetImportJobInput) SetGeolocationFormat

SetGeolocationFormat sets the GeolocationFormat field's value.

func (*CreateDatasetImportJobInput) SetTags

SetTags sets the Tags field's value.

func (*CreateDatasetImportJobInput) SetTimeZone

SetTimeZone sets the TimeZone field's value.

func (*CreateDatasetImportJobInput) SetTimestampFormat

SetTimestampFormat sets the TimestampFormat field's value.

func (*CreateDatasetImportJobInput) SetUseGeolocationForTimeZone

func (s *CreateDatasetImportJobInput) SetUseGeolocationForTimeZone(v bool) *CreateDatasetImportJobInput

SetUseGeolocationForTimeZone sets the UseGeolocationForTimeZone field's value.

func (CreateDatasetImportJobInput) String

String returns the string representation

func (*CreateDatasetImportJobInput) Validate

func (s *CreateDatasetImportJobInput) Validate() error

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

type CreateDatasetImportJobOutput

type CreateDatasetImportJobOutput struct {

	// The Amazon Resource Name (ARN) of the dataset import job.
	DatasetImportJobArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (CreateDatasetImportJobOutput) GoString

func (s CreateDatasetImportJobOutput) GoString() string

GoString returns the string representation

func (*CreateDatasetImportJobOutput) SetDatasetImportJobArn

SetDatasetImportJobArn sets the DatasetImportJobArn field's value.

func (CreateDatasetImportJobOutput) String

String returns the string representation

type CreateDatasetInput

type CreateDatasetInput struct {

	// The frequency of data collection. This parameter is required for RELATED_TIME_SERIES
	// datasets.
	//
	// Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour), 30min
	// (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5 minutes), and
	// 1min (1 minute). For example, "D" indicates every day and "15min" indicates
	// every 15 minutes.
	DataFrequency *string `type:"string"`

	// A name for the dataset.
	//
	// DatasetName is a required field
	DatasetName *string `min:"1" type:"string" required:"true"`

	// The dataset type. Valid values depend on the chosen Domain.
	//
	// DatasetType is a required field
	DatasetType *string `type:"string" required:"true" enum:"DatasetType"`

	// The domain associated with the dataset. When you add a dataset to a dataset
	// group, this value and the value specified for the Domain parameter of the
	// CreateDatasetGroup operation must match.
	//
	// The Domain and DatasetType that you choose determine the fields that must
	// be present in the training data that you import to the dataset. For example,
	// if you choose the RETAIL domain and TARGET_TIME_SERIES as the DatasetType,
	// Amazon Forecast requires item_id, timestamp, and demand fields to be present
	// in your data. For more information, see howitworks-datasets-groups.
	//
	// Domain is a required field
	Domain *string `type:"string" required:"true" enum:"Domain"`

	// An AWS Key Management Service (KMS) key and the AWS Identity and Access Management
	// (IAM) role that Amazon Forecast can assume to access the key.
	EncryptionConfig *EncryptionConfig `type:"structure"`

	// The schema for the dataset. The schema attributes and their order must match
	// the fields in your data. The dataset Domain and DatasetType that you choose
	// determine the minimum required fields in your training data. For information
	// about the required fields for a specific dataset domain and type, see howitworks-domains-ds-types.
	//
	// Schema is a required field
	Schema *Schema `type:"structure" required:"true"`

	// The optional metadata that you apply to the dataset to help you categorize
	// and organize them. Each tag consists of a key and an optional value, both
	// of which you define.
	//
	// The following basic restrictions apply to tags:
	//
	//    * Maximum number of tags per resource - 50.
	//
	//    * For each resource, each tag key must be unique, and each tag key can
	//    have only one value.
	//
	//    * Maximum key length - 128 Unicode characters in UTF-8.
	//
	//    * Maximum value length - 256 Unicode characters in UTF-8.
	//
	//    * If your tagging schema is used across multiple services and resources,
	//    remember that other services may have restrictions on allowed characters.
	//    Generally allowed characters are: letters, numbers, and spaces representable
	//    in UTF-8, and the following characters: + - = . _ : / @.
	//
	//    * Tag keys and values are case sensitive.
	//
	//    * Do not use aws:, AWS:, or any upper or lowercase combination of such
	//    as a prefix for keys as it is reserved for AWS use. You cannot edit or
	//    delete tag keys with this prefix. Values can have this prefix. If a tag
	//    value has aws as its prefix but the key does not, then Forecast considers
	//    it to be a user tag and will count against the limit of 50 tags. Tags
	//    with only the key prefix of aws do not count against your tags per resource
	//    limit.
	Tags []*Tag `type:"list"`
	// contains filtered or unexported fields
}

func (CreateDatasetInput) GoString

func (s CreateDatasetInput) GoString() string

GoString returns the string representation

func (*CreateDatasetInput) SetDataFrequency

func (s *CreateDatasetInput) SetDataFrequency(v string) *CreateDatasetInput

SetDataFrequency sets the DataFrequency field's value.

func (*CreateDatasetInput) SetDatasetName

func (s *CreateDatasetInput) SetDatasetName(v string) *CreateDatasetInput

SetDatasetName sets the DatasetName field's value.

func (*CreateDatasetInput) SetDatasetType

func (s *CreateDatasetInput) SetDatasetType(v string) *CreateDatasetInput

SetDatasetType sets the DatasetType field's value.

func (*CreateDatasetInput) SetDomain

func (s *CreateDatasetInput) SetDomain(v string) *CreateDatasetInput

SetDomain sets the Domain field's value.

func (*CreateDatasetInput) SetEncryptionConfig

func (s *CreateDatasetInput) SetEncryptionConfig(v *EncryptionConfig) *CreateDatasetInput

SetEncryptionConfig sets the EncryptionConfig field's value.

func (*CreateDatasetInput) SetSchema

func (s *CreateDatasetInput) SetSchema(v *Schema) *CreateDatasetInput

SetSchema sets the Schema field's value.

func (*CreateDatasetInput) SetTags

func (s *CreateDatasetInput) SetTags(v []*Tag) *CreateDatasetInput

SetTags sets the Tags field's value.

func (CreateDatasetInput) String

func (s CreateDatasetInput) String() string

String returns the string representation

func (*CreateDatasetInput) Validate

func (s *CreateDatasetInput) Validate() error

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

type CreateDatasetOutput

type CreateDatasetOutput struct {

	// The Amazon Resource Name (ARN) of the dataset.
	DatasetArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (CreateDatasetOutput) GoString

func (s CreateDatasetOutput) GoString() string

GoString returns the string representation

func (*CreateDatasetOutput) SetDatasetArn

func (s *CreateDatasetOutput) SetDatasetArn(v string) *CreateDatasetOutput

SetDatasetArn sets the DatasetArn field's value.

func (CreateDatasetOutput) String

func (s CreateDatasetOutput) String() string

String returns the string representation

type CreateForecastExportJobInput

type CreateForecastExportJobInput struct {

	// The location where you want to save the forecast and an AWS Identity and
	// Access Management (IAM) role that Amazon Forecast can assume to access the
	// location. The forecast must be exported to an Amazon S3 bucket.
	//
	// If encryption is used, Destination must include an AWS Key Management Service
	// (KMS) key. The IAM role must allow Amazon Forecast permission to access the
	// key.
	//
	// Destination is a required field
	Destination *DataDestination `type:"structure" required:"true"`

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

	// The name for the forecast export job.
	//
	// ForecastExportJobName is a required field
	ForecastExportJobName *string `min:"1" type:"string" required:"true"`

	// The optional metadata that you apply to the forecast export job to help you
	// categorize and organize them. Each tag consists of a key and an optional
	// value, both of which you define.
	//
	// The following basic restrictions apply to tags:
	//
	//    * Maximum number of tags per resource - 50.
	//
	//    * For each resource, each tag key must be unique, and each tag key can
	//    have only one value.
	//
	//    * Maximum key length - 128 Unicode characters in UTF-8.
	//
	//    * Maximum value length - 256 Unicode characters in UTF-8.
	//
	//    * If your tagging schema is used across multiple services and resources,
	//    remember that other services may have restrictions on allowed characters.
	//    Generally allowed characters are: letters, numbers, and spaces representable
	//    in UTF-8, and the following characters: + - = . _ : / @.
	//
	//    * Tag keys and values are case sensitive.
	//
	//    * Do not use aws:, AWS:, or any upper or lowercase combination of such
	//    as a prefix for keys as it is reserved for AWS use. You cannot edit or
	//    delete tag keys with this prefix. Values can have this prefix. If a tag
	//    value has aws as its prefix but the key does not, then Forecast considers
	//    it to be a user tag and will count against the limit of 50 tags. Tags
	//    with only the key prefix of aws do not count against your tags per resource
	//    limit.
	Tags []*Tag `type:"list"`
	// contains filtered or unexported fields
}

func (CreateForecastExportJobInput) GoString

func (s CreateForecastExportJobInput) GoString() string

GoString returns the string representation

func (*CreateForecastExportJobInput) SetDestination

SetDestination sets the Destination field's value.

func (*CreateForecastExportJobInput) SetForecastArn

SetForecastArn sets the ForecastArn field's value.

func (*CreateForecastExportJobInput) SetForecastExportJobName

func (s *CreateForecastExportJobInput) SetForecastExportJobName(v string) *CreateForecastExportJobInput

SetForecastExportJobName sets the ForecastExportJobName field's value.

func (*CreateForecastExportJobInput) SetTags

SetTags sets the Tags field's value.

func (CreateForecastExportJobInput) String

String returns the string representation

func (*CreateForecastExportJobInput) Validate

func (s *CreateForecastExportJobInput) Validate() error

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

type CreateForecastExportJobOutput

type CreateForecastExportJobOutput struct {

	// The Amazon Resource Name (ARN) of the export job.
	ForecastExportJobArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (CreateForecastExportJobOutput) GoString

GoString returns the string representation

func (*CreateForecastExportJobOutput) SetForecastExportJobArn

SetForecastExportJobArn sets the ForecastExportJobArn field's value.

func (CreateForecastExportJobOutput) String

String returns the string representation

type CreateForecastInput

type CreateForecastInput struct {

	// A name for the forecast.
	//
	// ForecastName is a required field
	ForecastName *string `min:"1" type:"string" required:"true"`

	// The quantiles at which probabilistic forecasts are generated. You can currently
	// specify up to 5 quantiles per forecast. Accepted values include 0.01 to 0.99
	// (increments of .01 only) and mean. The mean forecast is different from the
	// median (0.50) when the distribution is not symmetric (for example, Beta and
	// Negative Binomial). The default value is ["0.1", "0.5", "0.9"].
	ForecastTypes []*string `min:"1" type:"list"`

	// The Amazon Resource Name (ARN) of the predictor to use to generate the forecast.
	//
	// PredictorArn is a required field
	PredictorArn *string `type:"string" required:"true"`

	// The optional metadata that you apply to the forecast to help you categorize
	// and organize them. Each tag consists of a key and an optional value, both
	// of which you define.
	//
	// The following basic restrictions apply to tags:
	//
	//    * Maximum number of tags per resource - 50.
	//
	//    * For each resource, each tag key must be unique, and each tag key can
	//    have only one value.
	//
	//    * Maximum key length - 128 Unicode characters in UTF-8.
	//
	//    * Maximum value length - 256 Unicode characters in UTF-8.
	//
	//    * If your tagging schema is used across multiple services and resources,
	//    remember that other services may have restrictions on allowed characters.
	//    Generally allowed characters are: letters, numbers, and spaces representable
	//    in UTF-8, and the following characters: + - = . _ : / @.
	//
	//    * Tag keys and values are case sensitive.
	//
	//    * Do not use aws:, AWS:, or any upper or lowercase combination of such
	//    as a prefix for keys as it is reserved for AWS use. You cannot edit or
	//    delete tag keys with this prefix. Values can have this prefix. If a tag
	//    value has aws as its prefix but the key does not, then Forecast considers
	//    it to be a user tag and will count against the limit of 50 tags. Tags
	//    with only the key prefix of aws do not count against your tags per resource
	//    limit.
	Tags []*Tag `type:"list"`
	// contains filtered or unexported fields
}

func (CreateForecastInput) GoString

func (s CreateForecastInput) GoString() string

GoString returns the string representation

func (*CreateForecastInput) SetForecastName

func (s *CreateForecastInput) SetForecastName(v string) *CreateForecastInput

SetForecastName sets the ForecastName field's value.

func (*CreateForecastInput) SetForecastTypes

func (s *CreateForecastInput) SetForecastTypes(v []*string) *CreateForecastInput

SetForecastTypes sets the ForecastTypes field's value.

func (*CreateForecastInput) SetPredictorArn

func (s *CreateForecastInput) SetPredictorArn(v string) *CreateForecastInput

SetPredictorArn sets the PredictorArn field's value.

func (*CreateForecastInput) SetTags

func (s *CreateForecastInput) SetTags(v []*Tag) *CreateForecastInput

SetTags sets the Tags field's value.

func (CreateForecastInput) String

func (s CreateForecastInput) String() string

String returns the string representation

func (*CreateForecastInput) Validate

func (s *CreateForecastInput) Validate() error

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

type CreateForecastOutput

type CreateForecastOutput struct {

	// The Amazon Resource Name (ARN) of the forecast.
	ForecastArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (CreateForecastOutput) GoString

func (s CreateForecastOutput) GoString() string

GoString returns the string representation

func (*CreateForecastOutput) SetForecastArn

func (s *CreateForecastOutput) SetForecastArn(v string) *CreateForecastOutput

SetForecastArn sets the ForecastArn field's value.

func (CreateForecastOutput) String

func (s CreateForecastOutput) String() string

String returns the string representation

type CreatePredictorBacktestExportJobInput

type CreatePredictorBacktestExportJobInput struct {

	// The destination for an export job. Provide an S3 path, an AWS Identity and
	// Access Management (IAM) role that allows Amazon Forecast to access the location,
	// and an AWS Key Management Service (KMS) key (optional).
	//
	// Destination is a required field
	Destination *DataDestination `type:"structure" required:"true"`

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

	// The name for the backtest export job.
	//
	// PredictorBacktestExportJobName is a required field
	PredictorBacktestExportJobName *string `min:"1" type:"string" required:"true"`

	// Optional metadata to help you categorize and organize your backtests. Each
	// tag consists of a key and an optional value, both of which you define. Tag
	// keys and values are case sensitive.
	//
	// The following restrictions apply to tags:
	//
	//    * For each resource, each tag key must be unique and each tag key must
	//    have one value.
	//
	//    * Maximum number of tags per resource: 50.
	//
	//    * Maximum key length: 128 Unicode characters in UTF-8.
	//
	//    * Maximum value length: 256 Unicode characters in UTF-8.
	//
	//    * Accepted characters: all letters and numbers, spaces representable in
	//    UTF-8, and + - = . _ : / @. If your tagging schema is used across other
	//    services and resources, the character restrictions of those services also
	//    apply.
	//
	//    * Key prefixes cannot include any upper or lowercase combination of aws:
	//    or AWS:. Values can have this prefix. If a tag value has aws as its prefix
	//    but the key does not, Forecast considers it to be a user tag and will
	//    count against the limit of 50 tags. Tags with only the key prefix of aws
	//    do not count against your tags per resource limit. You cannot edit or
	//    delete tag keys with this prefix.
	Tags []*Tag `type:"list"`
	// contains filtered or unexported fields
}

func (CreatePredictorBacktestExportJobInput) GoString

GoString returns the string representation

func (*CreatePredictorBacktestExportJobInput) SetDestination

SetDestination sets the Destination field's value.

func (*CreatePredictorBacktestExportJobInput) SetPredictorArn

SetPredictorArn sets the PredictorArn field's value.

func (*CreatePredictorBacktestExportJobInput) SetPredictorBacktestExportJobName

SetPredictorBacktestExportJobName sets the PredictorBacktestExportJobName field's value.

func (*CreatePredictorBacktestExportJobInput) SetTags

SetTags sets the Tags field's value.

func (CreatePredictorBacktestExportJobInput) String

String returns the string representation

func (*CreatePredictorBacktestExportJobInput) Validate

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

type CreatePredictorBacktestExportJobOutput

type CreatePredictorBacktestExportJobOutput struct {

	// The Amazon Resource Name (ARN) of the predictor backtest export job that
	// you want to export.
	PredictorBacktestExportJobArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (CreatePredictorBacktestExportJobOutput) GoString

GoString returns the string representation

func (*CreatePredictorBacktestExportJobOutput) SetPredictorBacktestExportJobArn

SetPredictorBacktestExportJobArn sets the PredictorBacktestExportJobArn field's value.

func (CreatePredictorBacktestExportJobOutput) String

String returns the string representation

type CreatePredictorInput

type CreatePredictorInput struct {

	// The Amazon Resource Name (ARN) of the algorithm to use for model training.
	// Required if PerformAutoML is not set to true.
	//
	// Supported algorithms:
	//
	//    * arn:aws:forecast:::algorithm/ARIMA
	//
	//    * arn:aws:forecast:::algorithm/CNN-QR
	//
	//    * arn:aws:forecast:::algorithm/Deep_AR_Plus
	//
	//    * arn:aws:forecast:::algorithm/ETS
	//
	//    * arn:aws:forecast:::algorithm/NPTS
	//
	//    * arn:aws:forecast:::algorithm/Prophet
	AlgorithmArn *string `type:"string"`

	// An AWS Key Management Service (KMS) key and the AWS Identity and Access Management
	// (IAM) role that Amazon Forecast can assume to access the key.
	EncryptionConfig *EncryptionConfig `type:"structure"`

	// Used to override the default evaluation parameters of the specified algorithm.
	// Amazon Forecast evaluates a predictor by splitting a dataset into training
	// data and testing data. The evaluation parameters define how to perform the
	// split and the number of iterations.
	EvaluationParameters *EvaluationParameters `type:"structure"`

	// The featurization configuration.
	//
	// FeaturizationConfig is a required field
	FeaturizationConfig *FeaturizationConfig `type:"structure" required:"true"`

	// Specifies the number of time-steps that the model is trained to predict.
	// The forecast horizon is also called the prediction length.
	//
	// For example, if you configure a dataset for daily data collection (using
	// the DataFrequency parameter of the CreateDataset operation) and set the forecast
	// horizon to 10, the model returns predictions for 10 days.
	//
	// The maximum forecast horizon is the lesser of 500 time-steps or 1/3 of the
	// TARGET_TIME_SERIES dataset length.
	//
	// ForecastHorizon is a required field
	ForecastHorizon *int64 `type:"integer" required:"true"`

	// Specifies the forecast types used to train a predictor. You can specify up
	// to five forecast types. Forecast types can be quantiles from 0.01 to 0.99,
	// by increments of 0.01 or higher. You can also specify the mean forecast with
	// mean.
	//
	// The default value is ["0.10", "0.50", "0.9"].
	ForecastTypes []*string `min:"1" type:"list"`

	// Provides hyperparameter override values for the algorithm. If you don't provide
	// this parameter, Amazon Forecast uses default values. The individual algorithms
	// specify which hyperparameters support hyperparameter optimization (HPO).
	// For more information, see aws-forecast-choosing-recipes.
	//
	// If you included the HPOConfig object, you must set PerformHPO to true.
	HPOConfig *HyperParameterTuningJobConfig `type:"structure"`

	// Describes the dataset group that contains the data to use to train the predictor.
	//
	// InputDataConfig is a required field
	InputDataConfig *InputDataConfig `type:"structure" required:"true"`

	// Whether to perform AutoML. When Amazon Forecast performs AutoML, it evaluates
	// the algorithms it provides and chooses the best algorithm and configuration
	// for your training dataset.
	//
	// The default value is false. In this case, you are required to specify an
	// algorithm.
	//
	// Set PerformAutoML to true to have Amazon Forecast perform AutoML. This is
	// a good option if you aren't sure which algorithm is suitable for your training
	// data. In this case, PerformHPO must be false.
	PerformAutoML *bool `type:"boolean"`

	// Whether to perform hyperparameter optimization (HPO). HPO finds optimal hyperparameter
	// values for your training data. The process of performing HPO is known as
	// running a hyperparameter tuning job.
	//
	// The default value is false. In this case, Amazon Forecast uses default hyperparameter
	// values from the chosen algorithm.
	//
	// To override the default values, set PerformHPO to true and, optionally, supply
	// the HyperParameterTuningJobConfig object. The tuning job specifies a metric
	// to optimize, which hyperparameters participate in tuning, and the valid range
	// for each tunable hyperparameter. In this case, you are required to specify
	// an algorithm and PerformAutoML must be false.
	//
	// The following algorithms support HPO:
	//
	//    * DeepAR+
	//
	//    * CNN-QR
	PerformHPO *bool `type:"boolean"`

	// A name for the predictor.
	//
	// PredictorName is a required field
	PredictorName *string `min:"1" type:"string" required:"true"`

	// The optional metadata that you apply to the predictor to help you categorize
	// and organize them. Each tag consists of a key and an optional value, both
	// of which you define.
	//
	// The following basic restrictions apply to tags:
	//
	//    * Maximum number of tags per resource - 50.
	//
	//    * For each resource, each tag key must be unique, and each tag key can
	//    have only one value.
	//
	//    * Maximum key length - 128 Unicode characters in UTF-8.
	//
	//    * Maximum value length - 256 Unicode characters in UTF-8.
	//
	//    * If your tagging schema is used across multiple services and resources,
	//    remember that other services may have restrictions on allowed characters.
	//    Generally allowed characters are: letters, numbers, and spaces representable
	//    in UTF-8, and the following characters: + - = . _ : / @.
	//
	//    * Tag keys and values are case sensitive.
	//
	//    * Do not use aws:, AWS:, or any upper or lowercase combination of such
	//    as a prefix for keys as it is reserved for AWS use. You cannot edit or
	//    delete tag keys with this prefix. Values can have this prefix. If a tag
	//    value has aws as its prefix but the key does not, then Forecast considers
	//    it to be a user tag and will count against the limit of 50 tags. Tags
	//    with only the key prefix of aws do not count against your tags per resource
	//    limit.
	Tags []*Tag `type:"list"`

	// The hyperparameters to override for model training. The hyperparameters that
	// you can override are listed in the individual algorithms. For the list of
	// supported algorithms, see aws-forecast-choosing-recipes.
	TrainingParameters map[string]*string `type:"map"`
	// contains filtered or unexported fields
}

func (CreatePredictorInput) GoString

func (s CreatePredictorInput) GoString() string

GoString returns the string representation

func (*CreatePredictorInput) SetAlgorithmArn

func (s *CreatePredictorInput) SetAlgorithmArn(v string) *CreatePredictorInput

SetAlgorithmArn sets the AlgorithmArn field's value.

func (*CreatePredictorInput) SetEncryptionConfig

func (s *CreatePredictorInput) SetEncryptionConfig(v *EncryptionConfig) *CreatePredictorInput

SetEncryptionConfig sets the EncryptionConfig field's value.

func (*CreatePredictorInput) SetEvaluationParameters

func (s *CreatePredictorInput) SetEvaluationParameters(v *EvaluationParameters) *CreatePredictorInput

SetEvaluationParameters sets the EvaluationParameters field's value.

func (*CreatePredictorInput) SetFeaturizationConfig

func (s *CreatePredictorInput) SetFeaturizationConfig(v *FeaturizationConfig) *CreatePredictorInput

SetFeaturizationConfig sets the FeaturizationConfig field's value.

func (*CreatePredictorInput) SetForecastHorizon

func (s *CreatePredictorInput) SetForecastHorizon(v int64) *CreatePredictorInput

SetForecastHorizon sets the ForecastHorizon field's value.

func (*CreatePredictorInput) SetForecastTypes

func (s *CreatePredictorInput) SetForecastTypes(v []*string) *CreatePredictorInput

SetForecastTypes sets the ForecastTypes field's value.

func (*CreatePredictorInput) SetHPOConfig

SetHPOConfig sets the HPOConfig field's value.

func (*CreatePredictorInput) SetInputDataConfig

func (s *CreatePredictorInput) SetInputDataConfig(v *InputDataConfig) *CreatePredictorInput

SetInputDataConfig sets the InputDataConfig field's value.

func (*CreatePredictorInput) SetPerformAutoML

func (s *CreatePredictorInput) SetPerformAutoML(v bool) *CreatePredictorInput

SetPerformAutoML sets the PerformAutoML field's value.

func (*CreatePredictorInput) SetPerformHPO

func (s *CreatePredictorInput) SetPerformHPO(v bool) *CreatePredictorInput

SetPerformHPO sets the PerformHPO field's value.

func (*CreatePredictorInput) SetPredictorName

func (s *CreatePredictorInput) SetPredictorName(v string) *CreatePredictorInput

SetPredictorName sets the PredictorName field's value.

func (*CreatePredictorInput) SetTags

func (s *CreatePredictorInput) SetTags(v []*Tag) *CreatePredictorInput

SetTags sets the Tags field's value.

func (*CreatePredictorInput) SetTrainingParameters

func (s *CreatePredictorInput) SetTrainingParameters(v map[string]*string) *CreatePredictorInput

SetTrainingParameters sets the TrainingParameters field's value.

func (CreatePredictorInput) String

func (s CreatePredictorInput) String() string

String returns the string representation

func (*CreatePredictorInput) Validate

func (s *CreatePredictorInput) Validate() error

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

type CreatePredictorOutput

type CreatePredictorOutput struct {

	// The Amazon Resource Name (ARN) of the predictor.
	PredictorArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (CreatePredictorOutput) GoString

func (s CreatePredictorOutput) GoString() string

GoString returns the string representation

func (*CreatePredictorOutput) SetPredictorArn

func (s *CreatePredictorOutput) SetPredictorArn(v string) *CreatePredictorOutput

SetPredictorArn sets the PredictorArn field's value.

func (CreatePredictorOutput) String

func (s CreatePredictorOutput) String() string

String returns the string representation

type DataDestination

type DataDestination struct {

	// The path to an Amazon Simple Storage Service (Amazon S3) bucket along with
	// the credentials to access the bucket.
	//
	// S3Config is a required field
	S3Config *S3Config `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

The destination for an export job. Provide an S3 path, an AWS Identity and Access Management (IAM) role that allows Amazon Forecast to access the location, and an AWS Key Management Service (KMS) key (optional).

func (DataDestination) GoString

func (s DataDestination) GoString() string

GoString returns the string representation

func (*DataDestination) SetS3Config

func (s *DataDestination) SetS3Config(v *S3Config) *DataDestination

SetS3Config sets the S3Config field's value.

func (DataDestination) String

func (s DataDestination) String() string

String returns the string representation

func (*DataDestination) Validate

func (s *DataDestination) Validate() error

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

type DataSource

type DataSource struct {

	// The path to the training data stored in an Amazon Simple Storage Service
	// (Amazon S3) bucket along with the credentials to access the data.
	//
	// S3Config is a required field
	S3Config *S3Config `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

The source of your training data, an AWS Identity and Access Management (IAM) role that allows Amazon Forecast to access the data and, optionally, an AWS Key Management Service (KMS) key. This object is submitted in the CreateDatasetImportJob request.

func (DataSource) GoString

func (s DataSource) GoString() string

GoString returns the string representation

func (*DataSource) SetS3Config

func (s *DataSource) SetS3Config(v *S3Config) *DataSource

SetS3Config sets the S3Config field's value.

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 DatasetGroupSummary

type DatasetGroupSummary struct {

	// When the dataset group was created.
	CreationTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the dataset group.
	DatasetGroupArn *string `type:"string"`

	// The name of the dataset group.
	DatasetGroupName *string `min:"1" type:"string"`

	// When the dataset group was created or last updated from a call to the UpdateDatasetGroup
	// operation. While the dataset group is being updated, LastModificationTime
	// is the current time of the ListDatasetGroups call.
	LastModificationTime *time.Time `type:"timestamp"`
	// contains filtered or unexported fields
}

Provides a summary of the dataset group properties used in the ListDatasetGroups operation. To get the complete set of properties, call the DescribeDatasetGroup operation, and provide the DatasetGroupArn.

func (DatasetGroupSummary) GoString

func (s DatasetGroupSummary) GoString() string

GoString returns the string representation

func (*DatasetGroupSummary) SetCreationTime

func (s *DatasetGroupSummary) SetCreationTime(v time.Time) *DatasetGroupSummary

SetCreationTime sets the CreationTime field's value.

func (*DatasetGroupSummary) SetDatasetGroupArn

func (s *DatasetGroupSummary) SetDatasetGroupArn(v string) *DatasetGroupSummary

SetDatasetGroupArn sets the DatasetGroupArn field's value.

func (*DatasetGroupSummary) SetDatasetGroupName

func (s *DatasetGroupSummary) SetDatasetGroupName(v string) *DatasetGroupSummary

SetDatasetGroupName sets the DatasetGroupName field's value.

func (*DatasetGroupSummary) SetLastModificationTime

func (s *DatasetGroupSummary) SetLastModificationTime(v time.Time) *DatasetGroupSummary

SetLastModificationTime sets the LastModificationTime field's value.

func (DatasetGroupSummary) String

func (s DatasetGroupSummary) String() string

String returns the string representation

type DatasetImportJobSummary

type DatasetImportJobSummary struct {

	// When the dataset import job was created.
	CreationTime *time.Time `type:"timestamp"`

	// The location of the training data to import and an AWS Identity and Access
	// Management (IAM) role that Amazon Forecast can assume to access the data.
	// The training data must be stored in an Amazon S3 bucket.
	//
	// If encryption is used, DataSource includes an AWS Key Management Service
	// (KMS) key.
	DataSource *DataSource `type:"structure"`

	// The Amazon Resource Name (ARN) of the dataset import job.
	DatasetImportJobArn *string `type:"string"`

	// The name of the dataset import job.
	DatasetImportJobName *string `min:"1" type:"string"`

	// The last time the resource was modified. The timestamp depends on the status
	// of the job:
	//
	//    * CREATE_PENDING - The CreationTime.
	//
	//    * CREATE_IN_PROGRESS - The current timestamp.
	//
	//    * CREATE_STOPPING - The current timestamp.
	//
	//    * CREATE_STOPPED - When the job stopped.
	//
	//    * ACTIVE or CREATE_FAILED - When the job finished or failed.
	LastModificationTime *time.Time `type:"timestamp"`

	// If an error occurred, an informational message about the error.
	Message *string `type:"string"`

	// The status of the dataset import job. States include:
	//
	//    * ACTIVE
	//
	//    * CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
	//
	//    * DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
	//
	//    * CREATE_STOPPING, CREATE_STOPPED
	Status *string `type:"string"`
	// contains filtered or unexported fields
}

Provides a summary of the dataset import job properties used in the ListDatasetImportJobs operation. To get the complete set of properties, call the DescribeDatasetImportJob operation, and provide the DatasetImportJobArn.

func (DatasetImportJobSummary) GoString

func (s DatasetImportJobSummary) GoString() string

GoString returns the string representation

func (*DatasetImportJobSummary) SetCreationTime

SetCreationTime sets the CreationTime field's value.

func (*DatasetImportJobSummary) SetDataSource

SetDataSource sets the DataSource field's value.

func (*DatasetImportJobSummary) SetDatasetImportJobArn

func (s *DatasetImportJobSummary) SetDatasetImportJobArn(v string) *DatasetImportJobSummary

SetDatasetImportJobArn sets the DatasetImportJobArn field's value.

func (*DatasetImportJobSummary) SetDatasetImportJobName

func (s *DatasetImportJobSummary) SetDatasetImportJobName(v string) *DatasetImportJobSummary

SetDatasetImportJobName sets the DatasetImportJobName field's value.

func (*DatasetImportJobSummary) SetLastModificationTime

func (s *DatasetImportJobSummary) SetLastModificationTime(v time.Time) *DatasetImportJobSummary

SetLastModificationTime sets the LastModificationTime field's value.

func (*DatasetImportJobSummary) SetMessage

SetMessage sets the Message field's value.

func (*DatasetImportJobSummary) SetStatus

SetStatus sets the Status field's value.

func (DatasetImportJobSummary) String

func (s DatasetImportJobSummary) String() string

String returns the string representation

type DatasetSummary

type DatasetSummary struct {

	// When the dataset was created.
	CreationTime *time.Time `type:"timestamp"`

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

	// The name of the dataset.
	DatasetName *string `min:"1" type:"string"`

	// The dataset type.
	DatasetType *string `type:"string" enum:"DatasetType"`

	// The domain associated with the dataset.
	Domain *string `type:"string" enum:"Domain"`

	// When you create a dataset, LastModificationTime is the same as CreationTime.
	// While data is being imported to the dataset, LastModificationTime is the
	// current time of the ListDatasets call. After a CreateDatasetImportJob operation
	// has finished, LastModificationTime is when the import job completed or failed.
	LastModificationTime *time.Time `type:"timestamp"`
	// contains filtered or unexported fields
}

Provides a summary of the dataset properties used in the ListDatasets operation. To get the complete set of properties, call the DescribeDataset operation, and provide the DatasetArn.

func (DatasetSummary) GoString

func (s DatasetSummary) GoString() string

GoString returns the string representation

func (*DatasetSummary) SetCreationTime

func (s *DatasetSummary) SetCreationTime(v time.Time) *DatasetSummary

SetCreationTime sets the CreationTime field's value.

func (*DatasetSummary) SetDatasetArn

func (s *DatasetSummary) SetDatasetArn(v string) *DatasetSummary

SetDatasetArn sets the DatasetArn field's value.

func (*DatasetSummary) SetDatasetName

func (s *DatasetSummary) SetDatasetName(v string) *DatasetSummary

SetDatasetName sets the DatasetName field's value.

func (*DatasetSummary) SetDatasetType

func (s *DatasetSummary) SetDatasetType(v string) *DatasetSummary

SetDatasetType sets the DatasetType field's value.

func (*DatasetSummary) SetDomain

func (s *DatasetSummary) SetDomain(v string) *DatasetSummary

SetDomain sets the Domain field's value.

func (*DatasetSummary) SetLastModificationTime

func (s *DatasetSummary) SetLastModificationTime(v time.Time) *DatasetSummary

SetLastModificationTime sets the LastModificationTime field's value.

func (DatasetSummary) String

func (s DatasetSummary) String() string

String returns the string representation

type DeleteDatasetGroupInput

type DeleteDatasetGroupInput struct {

	// The Amazon Resource Name (ARN) of the dataset group to delete.
	//
	// DatasetGroupArn is a required field
	DatasetGroupArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteDatasetGroupInput) GoString

func (s DeleteDatasetGroupInput) GoString() string

GoString returns the string representation

func (*DeleteDatasetGroupInput) SetDatasetGroupArn

func (s *DeleteDatasetGroupInput) SetDatasetGroupArn(v string) *DeleteDatasetGroupInput

SetDatasetGroupArn sets the DatasetGroupArn field's value.

func (DeleteDatasetGroupInput) String

func (s DeleteDatasetGroupInput) String() string

String returns the string representation

func (*DeleteDatasetGroupInput) Validate

func (s *DeleteDatasetGroupInput) Validate() error

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

type DeleteDatasetGroupOutput

type DeleteDatasetGroupOutput struct {
	// contains filtered or unexported fields
}

func (DeleteDatasetGroupOutput) GoString

func (s DeleteDatasetGroupOutput) GoString() string

GoString returns the string representation

func (DeleteDatasetGroupOutput) String

func (s DeleteDatasetGroupOutput) String() string

String returns the string representation

type DeleteDatasetImportJobInput

type DeleteDatasetImportJobInput struct {

	// The Amazon Resource Name (ARN) of the dataset import job to delete.
	//
	// DatasetImportJobArn is a required field
	DatasetImportJobArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteDatasetImportJobInput) GoString

func (s DeleteDatasetImportJobInput) GoString() string

GoString returns the string representation

func (*DeleteDatasetImportJobInput) SetDatasetImportJobArn

func (s *DeleteDatasetImportJobInput) SetDatasetImportJobArn(v string) *DeleteDatasetImportJobInput

SetDatasetImportJobArn sets the DatasetImportJobArn field's value.

func (DeleteDatasetImportJobInput) String

String returns the string representation

func (*DeleteDatasetImportJobInput) Validate

func (s *DeleteDatasetImportJobInput) Validate() error

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

type DeleteDatasetImportJobOutput

type DeleteDatasetImportJobOutput struct {
	// contains filtered or unexported fields
}

func (DeleteDatasetImportJobOutput) GoString

func (s DeleteDatasetImportJobOutput) GoString() string

GoString returns the string representation

func (DeleteDatasetImportJobOutput) String

String returns the string representation

type DeleteDatasetInput

type DeleteDatasetInput struct {

	// The Amazon Resource Name (ARN) of the dataset to delete.
	//
	// DatasetArn is a required field
	DatasetArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteDatasetInput) GoString

func (s DeleteDatasetInput) GoString() string

GoString returns the string representation

func (*DeleteDatasetInput) SetDatasetArn

func (s *DeleteDatasetInput) SetDatasetArn(v string) *DeleteDatasetInput

SetDatasetArn sets the DatasetArn field's value.

func (DeleteDatasetInput) String

func (s DeleteDatasetInput) String() string

String returns the string representation

func (*DeleteDatasetInput) Validate

func (s *DeleteDatasetInput) Validate() error

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

type DeleteDatasetOutput

type DeleteDatasetOutput struct {
	// contains filtered or unexported fields
}

func (DeleteDatasetOutput) GoString

func (s DeleteDatasetOutput) GoString() string

GoString returns the string representation

func (DeleteDatasetOutput) String

func (s DeleteDatasetOutput) String() string

String returns the string representation

type DeleteForecastExportJobInput

type DeleteForecastExportJobInput struct {

	// The Amazon Resource Name (ARN) of the forecast export job to delete.
	//
	// ForecastExportJobArn is a required field
	ForecastExportJobArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteForecastExportJobInput) GoString

func (s DeleteForecastExportJobInput) GoString() string

GoString returns the string representation

func (*DeleteForecastExportJobInput) SetForecastExportJobArn

func (s *DeleteForecastExportJobInput) SetForecastExportJobArn(v string) *DeleteForecastExportJobInput

SetForecastExportJobArn sets the ForecastExportJobArn field's value.

func (DeleteForecastExportJobInput) String

String returns the string representation

func (*DeleteForecastExportJobInput) Validate

func (s *DeleteForecastExportJobInput) Validate() error

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

type DeleteForecastExportJobOutput

type DeleteForecastExportJobOutput struct {
	// contains filtered or unexported fields
}

func (DeleteForecastExportJobOutput) GoString

GoString returns the string representation

func (DeleteForecastExportJobOutput) String

String returns the string representation

type DeleteForecastInput

type DeleteForecastInput struct {

	// The Amazon Resource Name (ARN) of the forecast to delete.
	//
	// ForecastArn is a required field
	ForecastArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteForecastInput) GoString

func (s DeleteForecastInput) GoString() string

GoString returns the string representation

func (*DeleteForecastInput) SetForecastArn

func (s *DeleteForecastInput) SetForecastArn(v string) *DeleteForecastInput

SetForecastArn sets the ForecastArn field's value.

func (DeleteForecastInput) String

func (s DeleteForecastInput) String() string

String returns the string representation

func (*DeleteForecastInput) Validate

func (s *DeleteForecastInput) Validate() error

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

type DeleteForecastOutput

type DeleteForecastOutput struct {
	// contains filtered or unexported fields
}

func (DeleteForecastOutput) GoString

func (s DeleteForecastOutput) GoString() string

GoString returns the string representation

func (DeleteForecastOutput) String

func (s DeleteForecastOutput) String() string

String returns the string representation

type DeletePredictorBacktestExportJobInput

type DeletePredictorBacktestExportJobInput struct {

	// The Amazon Resource Name (ARN) of the predictor backtest export job to delete.
	//
	// PredictorBacktestExportJobArn is a required field
	PredictorBacktestExportJobArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeletePredictorBacktestExportJobInput) GoString

GoString returns the string representation

func (*DeletePredictorBacktestExportJobInput) SetPredictorBacktestExportJobArn

SetPredictorBacktestExportJobArn sets the PredictorBacktestExportJobArn field's value.

func (DeletePredictorBacktestExportJobInput) String

String returns the string representation

func (*DeletePredictorBacktestExportJobInput) Validate

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

type DeletePredictorBacktestExportJobOutput

type DeletePredictorBacktestExportJobOutput struct {
	// contains filtered or unexported fields
}

func (DeletePredictorBacktestExportJobOutput) GoString

GoString returns the string representation

func (DeletePredictorBacktestExportJobOutput) String

String returns the string representation

type DeletePredictorInput

type DeletePredictorInput struct {

	// The Amazon Resource Name (ARN) of the predictor to delete.
	//
	// PredictorArn is a required field
	PredictorArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeletePredictorInput) GoString

func (s DeletePredictorInput) GoString() string

GoString returns the string representation

func (*DeletePredictorInput) SetPredictorArn

func (s *DeletePredictorInput) SetPredictorArn(v string) *DeletePredictorInput

SetPredictorArn sets the PredictorArn field's value.

func (DeletePredictorInput) String

func (s DeletePredictorInput) String() string

String returns the string representation

func (*DeletePredictorInput) Validate

func (s *DeletePredictorInput) Validate() error

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

type DeletePredictorOutput

type DeletePredictorOutput struct {
	// contains filtered or unexported fields
}

func (DeletePredictorOutput) GoString

func (s DeletePredictorOutput) GoString() string

GoString returns the string representation

func (DeletePredictorOutput) String

func (s DeletePredictorOutput) String() string

String returns the string representation

type DescribeDatasetGroupInput

type DescribeDatasetGroupInput struct {

	// The Amazon Resource Name (ARN) of the dataset group.
	//
	// DatasetGroupArn is a required field
	DatasetGroupArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeDatasetGroupInput) GoString

func (s DescribeDatasetGroupInput) GoString() string

GoString returns the string representation

func (*DescribeDatasetGroupInput) SetDatasetGroupArn

SetDatasetGroupArn sets the DatasetGroupArn field's value.

func (DescribeDatasetGroupInput) String

func (s DescribeDatasetGroupInput) String() string

String returns the string representation

func (*DescribeDatasetGroupInput) Validate

func (s *DescribeDatasetGroupInput) Validate() error

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

type DescribeDatasetGroupOutput

type DescribeDatasetGroupOutput struct {

	// When the dataset group was created.
	CreationTime *time.Time `type:"timestamp"`

	// An array of Amazon Resource Names (ARNs) of the datasets contained in the
	// dataset group.
	DatasetArns []*string `type:"list"`

	// The ARN of the dataset group.
	DatasetGroupArn *string `type:"string"`

	// The name of the dataset group.
	DatasetGroupName *string `min:"1" type:"string"`

	// The domain associated with the dataset group.
	Domain *string `type:"string" enum:"Domain"`

	// When the dataset group was created or last updated from a call to the UpdateDatasetGroup
	// operation. While the dataset group is being updated, LastModificationTime
	// is the current time of the DescribeDatasetGroup call.
	LastModificationTime *time.Time `type:"timestamp"`

	// The status of the dataset group. States include:
	//
	//    * ACTIVE
	//
	//    * CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
	//
	//    * DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
	//
	//    * UPDATE_PENDING, UPDATE_IN_PROGRESS, UPDATE_FAILED
	//
	// The UPDATE states apply when you call the UpdateDatasetGroup operation.
	//
	// The Status of the dataset group must be ACTIVE before you can use the dataset
	// group to create a predictor.
	Status *string `type:"string"`
	// contains filtered or unexported fields
}

func (DescribeDatasetGroupOutput) GoString

func (s DescribeDatasetGroupOutput) GoString() string

GoString returns the string representation

func (*DescribeDatasetGroupOutput) SetCreationTime

SetCreationTime sets the CreationTime field's value.

func (*DescribeDatasetGroupOutput) SetDatasetArns

SetDatasetArns sets the DatasetArns field's value.

func (*DescribeDatasetGroupOutput) SetDatasetGroupArn

SetDatasetGroupArn sets the DatasetGroupArn field's value.

func (*DescribeDatasetGroupOutput) SetDatasetGroupName

SetDatasetGroupName sets the DatasetGroupName field's value.

func (*DescribeDatasetGroupOutput) SetDomain

SetDomain sets the Domain field's value.

func (*DescribeDatasetGroupOutput) SetLastModificationTime

func (s *DescribeDatasetGroupOutput) SetLastModificationTime(v time.Time) *DescribeDatasetGroupOutput

SetLastModificationTime sets the LastModificationTime field's value.

func (*DescribeDatasetGroupOutput) SetStatus

SetStatus sets the Status field's value.

func (DescribeDatasetGroupOutput) String

String returns the string representation

type DescribeDatasetImportJobInput

type DescribeDatasetImportJobInput struct {

	// The Amazon Resource Name (ARN) of the dataset import job.
	//
	// DatasetImportJobArn is a required field
	DatasetImportJobArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeDatasetImportJobInput) GoString

GoString returns the string representation

func (*DescribeDatasetImportJobInput) SetDatasetImportJobArn

SetDatasetImportJobArn sets the DatasetImportJobArn field's value.

func (DescribeDatasetImportJobInput) String

String returns the string representation

func (*DescribeDatasetImportJobInput) Validate

func (s *DescribeDatasetImportJobInput) Validate() error

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

type DescribeDatasetImportJobOutput

type DescribeDatasetImportJobOutput struct {

	// When the dataset import job was created.
	CreationTime *time.Time `type:"timestamp"`

	// The size of the dataset in gigabytes (GB) after the import job has finished.
	DataSize *float64 `type:"double"`

	// The location of the training data to import and an AWS Identity and Access
	// Management (IAM) role that Amazon Forecast can assume to access the data.
	//
	// If encryption is used, DataSource includes an AWS Key Management Service
	// (KMS) key.
	DataSource *DataSource `type:"structure"`

	// The Amazon Resource Name (ARN) of the dataset that the training data was
	// imported to.
	DatasetArn *string `type:"string"`

	// The ARN of the dataset import job.
	DatasetImportJobArn *string `type:"string"`

	// The name of the dataset import job.
	DatasetImportJobName *string `min:"1" type:"string"`

	// Statistical information about each field in the input data.
	FieldStatistics map[string]*Statistics `type:"map"`

	// The format of the geolocation attribute. Valid Values:"LAT_LONG" and "CC_POSTALCODE".
	GeolocationFormat *string `type:"string"`

	// The last time the resource was modified. The timestamp depends on the status
	// of the job:
	//
	//    * CREATE_PENDING - The CreationTime.
	//
	//    * CREATE_IN_PROGRESS - The current timestamp.
	//
	//    * CREATE_STOPPING - The current timestamp.
	//
	//    * CREATE_STOPPED - When the job stopped.
	//
	//    * ACTIVE or CREATE_FAILED - When the job finished or failed.
	LastModificationTime *time.Time `type:"timestamp"`

	// If an error occurred, an informational message about the error.
	Message *string `type:"string"`

	// The status of the dataset import job. States include:
	//
	//    * ACTIVE
	//
	//    * CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
	//
	//    * DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
	//
	//    * CREATE_STOPPING, CREATE_STOPPED
	Status *string `type:"string"`

	// The single time zone applied to every item in the dataset
	TimeZone *string `type:"string"`

	// The format of timestamps in the dataset. The format that you specify depends
	// on the DataFrequency specified when the dataset was created. The following
	// formats are supported
	//
	//    * "yyyy-MM-dd" For the following data frequencies: Y, M, W, and D
	//
	//    * "yyyy-MM-dd HH:mm:ss" For the following data frequencies: H, 30min,
	//    15min, and 1min; and optionally, for: Y, M, W, and D
	TimestampFormat *string `type:"string"`

	// Whether TimeZone is automatically derived from the geolocation attribute.
	UseGeolocationForTimeZone *bool `type:"boolean"`
	// contains filtered or unexported fields
}

func (DescribeDatasetImportJobOutput) GoString

GoString returns the string representation

func (*DescribeDatasetImportJobOutput) SetCreationTime

SetCreationTime sets the CreationTime field's value.

func (*DescribeDatasetImportJobOutput) SetDataSize

SetDataSize sets the DataSize field's value.

func (*DescribeDatasetImportJobOutput) SetDataSource

SetDataSource sets the DataSource field's value.

func (*DescribeDatasetImportJobOutput) SetDatasetArn

SetDatasetArn sets the DatasetArn field's value.

func (*DescribeDatasetImportJobOutput) SetDatasetImportJobArn

SetDatasetImportJobArn sets the DatasetImportJobArn field's value.

func (*DescribeDatasetImportJobOutput) SetDatasetImportJobName

SetDatasetImportJobName sets the DatasetImportJobName field's value.

func (*DescribeDatasetImportJobOutput) SetFieldStatistics

SetFieldStatistics sets the FieldStatistics field's value.

func (*DescribeDatasetImportJobOutput) SetGeolocationFormat

SetGeolocationFormat sets the GeolocationFormat field's value.

func (*DescribeDatasetImportJobOutput) SetLastModificationTime

SetLastModificationTime sets the LastModificationTime field's value.

func (*DescribeDatasetImportJobOutput) SetMessage

SetMessage sets the Message field's value.

func (*DescribeDatasetImportJobOutput) SetStatus

SetStatus sets the Status field's value.

func (*DescribeDatasetImportJobOutput) SetTimeZone

SetTimeZone sets the TimeZone field's value.

func (*DescribeDatasetImportJobOutput) SetTimestampFormat

SetTimestampFormat sets the TimestampFormat field's value.

func (*DescribeDatasetImportJobOutput) SetUseGeolocationForTimeZone

func (s *DescribeDatasetImportJobOutput) SetUseGeolocationForTimeZone(v bool) *DescribeDatasetImportJobOutput

SetUseGeolocationForTimeZone sets the UseGeolocationForTimeZone field's value.

func (DescribeDatasetImportJobOutput) String

String returns the string representation

type DescribeDatasetInput

type DescribeDatasetInput struct {

	// The Amazon Resource Name (ARN) of the dataset.
	//
	// DatasetArn is a required field
	DatasetArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeDatasetInput) GoString

func (s DescribeDatasetInput) GoString() string

GoString returns the string representation

func (*DescribeDatasetInput) SetDatasetArn

func (s *DescribeDatasetInput) SetDatasetArn(v string) *DescribeDatasetInput

SetDatasetArn sets the DatasetArn field's value.

func (DescribeDatasetInput) String

func (s DescribeDatasetInput) String() string

String returns the string representation

func (*DescribeDatasetInput) Validate

func (s *DescribeDatasetInput) Validate() error

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

type DescribeDatasetOutput

type DescribeDatasetOutput struct {

	// When the dataset was created.
	CreationTime *time.Time `type:"timestamp"`

	// The frequency of data collection.
	//
	// Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour), 30min
	// (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5 minutes), and
	// 1min (1 minute). For example, "M" indicates every month and "30min" indicates
	// every 30 minutes.
	DataFrequency *string `type:"string"`

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

	// The name of the dataset.
	DatasetName *string `min:"1" type:"string"`

	// The dataset type.
	DatasetType *string `type:"string" enum:"DatasetType"`

	// The domain associated with the dataset.
	Domain *string `type:"string" enum:"Domain"`

	// The AWS Key Management Service (KMS) key and the AWS Identity and Access
	// Management (IAM) role that Amazon Forecast can assume to access the key.
	EncryptionConfig *EncryptionConfig `type:"structure"`

	// When you create a dataset, LastModificationTime is the same as CreationTime.
	// While data is being imported to the dataset, LastModificationTime is the
	// current time of the DescribeDataset call. After a CreateDatasetImportJob
	// operation has finished, LastModificationTime is when the import job completed
	// or failed.
	LastModificationTime *time.Time `type:"timestamp"`

	// An array of SchemaAttribute objects that specify the dataset fields. Each
	// SchemaAttribute specifies the name and data type of a field.
	Schema *Schema `type:"structure"`

	// The status of the dataset. States include:
	//
	//    * ACTIVE
	//
	//    * CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
	//
	//    * DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
	//
	//    * UPDATE_PENDING, UPDATE_IN_PROGRESS, UPDATE_FAILED
	//
	// The UPDATE states apply while data is imported to the dataset from a call
	// to the CreateDatasetImportJob operation and reflect the status of the dataset
	// import job. For example, when the import job status is CREATE_IN_PROGRESS,
	// the status of the dataset is UPDATE_IN_PROGRESS.
	//
	// The Status of the dataset must be ACTIVE before you can import training data.
	Status *string `type:"string"`
	// contains filtered or unexported fields
}

func (DescribeDatasetOutput) GoString

func (s DescribeDatasetOutput) GoString() string

GoString returns the string representation

func (*DescribeDatasetOutput) SetCreationTime

func (s *DescribeDatasetOutput) SetCreationTime(v time.Time) *DescribeDatasetOutput

SetCreationTime sets the CreationTime field's value.

func (*DescribeDatasetOutput) SetDataFrequency

func (s *DescribeDatasetOutput) SetDataFrequency(v string) *DescribeDatasetOutput

SetDataFrequency sets the DataFrequency field's value.

func (*DescribeDatasetOutput) SetDatasetArn

func (s *DescribeDatasetOutput) SetDatasetArn(v string) *DescribeDatasetOutput

SetDatasetArn sets the DatasetArn field's value.

func (*DescribeDatasetOutput) SetDatasetName

func (s *DescribeDatasetOutput) SetDatasetName(v string) *DescribeDatasetOutput

SetDatasetName sets the DatasetName field's value.

func (*DescribeDatasetOutput) SetDatasetType

func (s *DescribeDatasetOutput) SetDatasetType(v string) *DescribeDatasetOutput

SetDatasetType sets the DatasetType field's value.

func (*DescribeDatasetOutput) SetDomain

SetDomain sets the Domain field's value.

func (*DescribeDatasetOutput) SetEncryptionConfig

func (s *DescribeDatasetOutput) SetEncryptionConfig(v *EncryptionConfig) *DescribeDatasetOutput

SetEncryptionConfig sets the EncryptionConfig field's value.

func (*DescribeDatasetOutput) SetLastModificationTime

func (s *DescribeDatasetOutput) SetLastModificationTime(v time.Time) *DescribeDatasetOutput

SetLastModificationTime sets the LastModificationTime field's value.

func (*DescribeDatasetOutput) SetSchema

SetSchema sets the Schema field's value.

func (*DescribeDatasetOutput) SetStatus

SetStatus sets the Status field's value.

func (DescribeDatasetOutput) String

func (s DescribeDatasetOutput) String() string

String returns the string representation

type DescribeForecastExportJobInput

type DescribeForecastExportJobInput struct {

	// The Amazon Resource Name (ARN) of the forecast export job.
	//
	// ForecastExportJobArn is a required field
	ForecastExportJobArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeForecastExportJobInput) GoString

GoString returns the string representation

func (*DescribeForecastExportJobInput) SetForecastExportJobArn

SetForecastExportJobArn sets the ForecastExportJobArn field's value.

func (DescribeForecastExportJobInput) String

String returns the string representation

func (*DescribeForecastExportJobInput) Validate

func (s *DescribeForecastExportJobInput) Validate() error

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

type DescribeForecastExportJobOutput

type DescribeForecastExportJobOutput struct {

	// When the forecast export job was created.
	CreationTime *time.Time `type:"timestamp"`

	// The path to the Amazon Simple Storage Service (Amazon S3) bucket where the
	// forecast is exported.
	Destination *DataDestination `type:"structure"`

	// The Amazon Resource Name (ARN) of the exported forecast.
	ForecastArn *string `type:"string"`

	// The ARN of the forecast export job.
	ForecastExportJobArn *string `type:"string"`

	// The name of the forecast export job.
	ForecastExportJobName *string `min:"1" type:"string"`

	// The last time the resource was modified. The timestamp depends on the status
	// of the job:
	//
	//    * CREATE_PENDING - The CreationTime.
	//
	//    * CREATE_IN_PROGRESS - The current timestamp.
	//
	//    * CREATE_STOPPING - The current timestamp.
	//
	//    * CREATE_STOPPED - When the job stopped.
	//
	//    * ACTIVE or CREATE_FAILED - When the job finished or failed.
	LastModificationTime *time.Time `type:"timestamp"`

	// If an error occurred, an informational message about the error.
	Message *string `type:"string"`

	// The status of the forecast export job. States include:
	//
	//    * ACTIVE
	//
	//    * CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
	//
	//    * CREATE_STOPPING, CREATE_STOPPED
	//
	//    * DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
	//
	// The Status of the forecast export job must be ACTIVE before you can access
	// the forecast in your S3 bucket.
	Status *string `type:"string"`
	// contains filtered or unexported fields
}

func (DescribeForecastExportJobOutput) GoString

GoString returns the string representation

func (*DescribeForecastExportJobOutput) SetCreationTime

SetCreationTime sets the CreationTime field's value.

func (*DescribeForecastExportJobOutput) SetDestination

SetDestination sets the Destination field's value.

func (*DescribeForecastExportJobOutput) SetForecastArn

SetForecastArn sets the ForecastArn field's value.

func (*DescribeForecastExportJobOutput) SetForecastExportJobArn

SetForecastExportJobArn sets the ForecastExportJobArn field's value.

func (*DescribeForecastExportJobOutput) SetForecastExportJobName

SetForecastExportJobName sets the ForecastExportJobName field's value.

func (*DescribeForecastExportJobOutput) SetLastModificationTime

SetLastModificationTime sets the LastModificationTime field's value.

func (*DescribeForecastExportJobOutput) SetMessage

SetMessage sets the Message field's value.

func (*DescribeForecastExportJobOutput) SetStatus

SetStatus sets the Status field's value.

func (DescribeForecastExportJobOutput) String

String returns the string representation

type DescribeForecastInput

type DescribeForecastInput struct {

	// The Amazon Resource Name (ARN) of the forecast.
	//
	// ForecastArn is a required field
	ForecastArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeForecastInput) GoString

func (s DescribeForecastInput) GoString() string

GoString returns the string representation

func (*DescribeForecastInput) SetForecastArn

func (s *DescribeForecastInput) SetForecastArn(v string) *DescribeForecastInput

SetForecastArn sets the ForecastArn field's value.

func (DescribeForecastInput) String

func (s DescribeForecastInput) String() string

String returns the string representation

func (*DescribeForecastInput) Validate

func (s *DescribeForecastInput) Validate() error

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

type DescribeForecastOutput

type DescribeForecastOutput struct {

	// When the forecast creation task was created.
	CreationTime *time.Time `type:"timestamp"`

	// The ARN of the dataset group that provided the data used to train the predictor.
	DatasetGroupArn *string `type:"string"`

	// The forecast ARN as specified in the request.
	ForecastArn *string `type:"string"`

	// The name of the forecast.
	ForecastName *string `min:"1" type:"string"`

	// The quantiles at which probabilistic forecasts were generated.
	ForecastTypes []*string `min:"1" type:"list"`

	// The last time the resource was modified. The timestamp depends on the status
	// of the job:
	//
	//    * CREATE_PENDING - The CreationTime.
	//
	//    * CREATE_IN_PROGRESS - The current timestamp.
	//
	//    * CREATE_STOPPING - The current timestamp.
	//
	//    * CREATE_STOPPED - When the job stopped.
	//
	//    * ACTIVE or CREATE_FAILED - When the job finished or failed.
	LastModificationTime *time.Time `type:"timestamp"`

	// If an error occurred, an informational message about the error.
	Message *string `type:"string"`

	// The ARN of the predictor used to generate the forecast.
	PredictorArn *string `type:"string"`

	// The status of the forecast. States include:
	//
	//    * ACTIVE
	//
	//    * CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
	//
	//    * CREATE_STOPPING, CREATE_STOPPED
	//
	//    * DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
	//
	// The Status of the forecast must be ACTIVE before you can query or export
	// the forecast.
	Status *string `type:"string"`
	// contains filtered or unexported fields
}

func (DescribeForecastOutput) GoString

func (s DescribeForecastOutput) GoString() string

GoString returns the string representation

func (*DescribeForecastOutput) SetCreationTime

func (s *DescribeForecastOutput) SetCreationTime(v time.Time) *DescribeForecastOutput

SetCreationTime sets the CreationTime field's value.

func (*DescribeForecastOutput) SetDatasetGroupArn

func (s *DescribeForecastOutput) SetDatasetGroupArn(v string) *DescribeForecastOutput

SetDatasetGroupArn sets the DatasetGroupArn field's value.

func (*DescribeForecastOutput) SetForecastArn

SetForecastArn sets the ForecastArn field's value.

func (*DescribeForecastOutput) SetForecastName

func (s *DescribeForecastOutput) SetForecastName(v string) *DescribeForecastOutput

SetForecastName sets the ForecastName field's value.

func (*DescribeForecastOutput) SetForecastTypes

func (s *DescribeForecastOutput) SetForecastTypes(v []*string) *DescribeForecastOutput

SetForecastTypes sets the ForecastTypes field's value.

func (*DescribeForecastOutput) SetLastModificationTime

func (s *DescribeForecastOutput) SetLastModificationTime(v time.Time) *DescribeForecastOutput

SetLastModificationTime sets the LastModificationTime field's value.

func (*DescribeForecastOutput) SetMessage

SetMessage sets the Message field's value.

func (*DescribeForecastOutput) SetPredictorArn

func (s *DescribeForecastOutput) SetPredictorArn(v string) *DescribeForecastOutput

SetPredictorArn sets the PredictorArn field's value.

func (*DescribeForecastOutput) SetStatus

SetStatus sets the Status field's value.

func (DescribeForecastOutput) String

func (s DescribeForecastOutput) String() string

String returns the string representation

type DescribePredictorBacktestExportJobInput

type DescribePredictorBacktestExportJobInput struct {

	// The Amazon Resource Name (ARN) of the predictor backtest export job.
	//
	// PredictorBacktestExportJobArn is a required field
	PredictorBacktestExportJobArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribePredictorBacktestExportJobInput) GoString

GoString returns the string representation

func (*DescribePredictorBacktestExportJobInput) SetPredictorBacktestExportJobArn

SetPredictorBacktestExportJobArn sets the PredictorBacktestExportJobArn field's value.

func (DescribePredictorBacktestExportJobInput) String

String returns the string representation

func (*DescribePredictorBacktestExportJobInput) Validate

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

type DescribePredictorBacktestExportJobOutput

type DescribePredictorBacktestExportJobOutput struct {

	// When the predictor backtest export job was created.
	CreationTime *time.Time `type:"timestamp"`

	// The destination for an export job. Provide an S3 path, an AWS Identity and
	// Access Management (IAM) role that allows Amazon Forecast to access the location,
	// and an AWS Key Management Service (KMS) key (optional).
	Destination *DataDestination `type:"structure"`

	// The last time the resource was modified. The timestamp depends on the status
	// of the job:
	//
	//    * CREATE_PENDING - The CreationTime.
	//
	//    * CREATE_IN_PROGRESS - The current timestamp.
	//
	//    * CREATE_STOPPING - The current timestamp.
	//
	//    * CREATE_STOPPED - When the job stopped.
	//
	//    * ACTIVE or CREATE_FAILED - When the job finished or failed.
	LastModificationTime *time.Time `type:"timestamp"`

	// Information about any errors that may have occurred during the backtest export.
	Message *string `type:"string"`

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

	// The Amazon Resource Name (ARN) of the predictor backtest export job.
	PredictorBacktestExportJobArn *string `type:"string"`

	// The name of the predictor backtest export job.
	PredictorBacktestExportJobName *string `min:"1" type:"string"`

	// The status of the predictor backtest export job. States include:
	//
	//    * ACTIVE
	//
	//    * CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
	//
	//    * CREATE_STOPPING, CREATE_STOPPED
	//
	//    * DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
	Status *string `type:"string"`
	// contains filtered or unexported fields
}

func (DescribePredictorBacktestExportJobOutput) GoString

GoString returns the string representation

func (*DescribePredictorBacktestExportJobOutput) SetCreationTime

SetCreationTime sets the CreationTime field's value.

func (*DescribePredictorBacktestExportJobOutput) SetDestination

SetDestination sets the Destination field's value.

func (*DescribePredictorBacktestExportJobOutput) SetLastModificationTime

SetLastModificationTime sets the LastModificationTime field's value.

func (*DescribePredictorBacktestExportJobOutput) SetMessage

SetMessage sets the Message field's value.

func (*DescribePredictorBacktestExportJobOutput) SetPredictorArn

SetPredictorArn sets the PredictorArn field's value.

func (*DescribePredictorBacktestExportJobOutput) SetPredictorBacktestExportJobArn

SetPredictorBacktestExportJobArn sets the PredictorBacktestExportJobArn field's value.

func (*DescribePredictorBacktestExportJobOutput) SetPredictorBacktestExportJobName

SetPredictorBacktestExportJobName sets the PredictorBacktestExportJobName field's value.

func (*DescribePredictorBacktestExportJobOutput) SetStatus

SetStatus sets the Status field's value.

func (DescribePredictorBacktestExportJobOutput) String

String returns the string representation

type DescribePredictorInput

type DescribePredictorInput struct {

	// The Amazon Resource Name (ARN) of the predictor that you want information
	// about.
	//
	// PredictorArn is a required field
	PredictorArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribePredictorInput) GoString

func (s DescribePredictorInput) GoString() string

GoString returns the string representation

func (*DescribePredictorInput) SetPredictorArn

func (s *DescribePredictorInput) SetPredictorArn(v string) *DescribePredictorInput

SetPredictorArn sets the PredictorArn field's value.

func (DescribePredictorInput) String

func (s DescribePredictorInput) String() string

String returns the string representation

func (*DescribePredictorInput) Validate

func (s *DescribePredictorInput) Validate() error

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

type DescribePredictorOutput

type DescribePredictorOutput struct {

	// The Amazon Resource Name (ARN) of the algorithm used for model training.
	AlgorithmArn *string `type:"string"`

	// When PerformAutoML is specified, the ARN of the chosen algorithm.
	AutoMLAlgorithmArns []*string `type:"list"`

	// When the model training task was created.
	CreationTime *time.Time `type:"timestamp"`

	// An array of the ARNs of the dataset import jobs used to import training data
	// for the predictor.
	DatasetImportJobArns []*string `type:"list"`

	// An AWS Key Management Service (KMS) key and the AWS Identity and Access Management
	// (IAM) role that Amazon Forecast can assume to access the key.
	EncryptionConfig *EncryptionConfig `type:"structure"`

	// Used to override the default evaluation parameters of the specified algorithm.
	// Amazon Forecast evaluates a predictor by splitting a dataset into training
	// data and testing data. The evaluation parameters define how to perform the
	// split and the number of iterations.
	EvaluationParameters *EvaluationParameters `type:"structure"`

	// The featurization configuration.
	FeaturizationConfig *FeaturizationConfig `type:"structure"`

	// The number of time-steps of the forecast. The forecast horizon is also called
	// the prediction length.
	ForecastHorizon *int64 `type:"integer"`

	// The forecast types used during predictor training. Default value is ["0.1","0.5","0.9"]
	ForecastTypes []*string `min:"1" type:"list"`

	// The hyperparameter override values for the algorithm.
	HPOConfig *HyperParameterTuningJobConfig `type:"structure"`

	// Describes the dataset group that contains the data to use to train the predictor.
	InputDataConfig *InputDataConfig `type:"structure"`

	// The last time the resource was modified. The timestamp depends on the status
	// of the job:
	//
	//    * CREATE_PENDING - The CreationTime.
	//
	//    * CREATE_IN_PROGRESS - The current timestamp.
	//
	//    * CREATE_STOPPING - The current timestamp.
	//
	//    * CREATE_STOPPED - When the job stopped.
	//
	//    * ACTIVE or CREATE_FAILED - When the job finished or failed.
	LastModificationTime *time.Time `type:"timestamp"`

	// If an error occurred, an informational message about the error.
	Message *string `type:"string"`

	// Whether the predictor is set to perform AutoML.
	PerformAutoML *bool `type:"boolean"`

	// Whether the predictor is set to perform hyperparameter optimization (HPO).
	PerformHPO *bool `type:"boolean"`

	// The ARN of the predictor.
	PredictorArn *string `min:"1" type:"string"`

	// Details on the the status and results of the backtests performed to evaluate
	// the accuracy of the predictor. You specify the number of backtests to perform
	// when you call the operation.
	PredictorExecutionDetails *PredictorExecutionDetails `type:"structure"`

	// The name of the predictor.
	PredictorName *string `min:"1" type:"string"`

	// The status of the predictor. States include:
	//
	//    * ACTIVE
	//
	//    * CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
	//
	//    * DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
	//
	//    * CREATE_STOPPING, CREATE_STOPPED
	//
	// The Status of the predictor must be ACTIVE before you can use the predictor
	// to create a forecast.
	Status *string `type:"string"`

	// The default training parameters or overrides selected during model training.
	// When running AutoML or choosing HPO with CNN-QR or DeepAR+, the optimized
	// values for the chosen hyperparameters are returned. For more information,
	// see aws-forecast-choosing-recipes.
	TrainingParameters map[string]*string `type:"map"`
	// contains filtered or unexported fields
}

func (DescribePredictorOutput) GoString

func (s DescribePredictorOutput) GoString() string

GoString returns the string representation

func (*DescribePredictorOutput) SetAlgorithmArn

SetAlgorithmArn sets the AlgorithmArn field's value.

func (*DescribePredictorOutput) SetAutoMLAlgorithmArns

func (s *DescribePredictorOutput) SetAutoMLAlgorithmArns(v []*string) *DescribePredictorOutput

SetAutoMLAlgorithmArns sets the AutoMLAlgorithmArns field's value.

func (*DescribePredictorOutput) SetCreationTime

SetCreationTime sets the CreationTime field's value.

func (*DescribePredictorOutput) SetDatasetImportJobArns

func (s *DescribePredictorOutput) SetDatasetImportJobArns(v []*string) *DescribePredictorOutput

SetDatasetImportJobArns sets the DatasetImportJobArns field's value.

func (*DescribePredictorOutput) SetEncryptionConfig

SetEncryptionConfig sets the EncryptionConfig field's value.

func (*DescribePredictorOutput) SetEvaluationParameters

SetEvaluationParameters sets the EvaluationParameters field's value.

func (*DescribePredictorOutput) SetFeaturizationConfig

SetFeaturizationConfig sets the FeaturizationConfig field's value.

func (*DescribePredictorOutput) SetForecastHorizon

func (s *DescribePredictorOutput) SetForecastHorizon(v int64) *DescribePredictorOutput

SetForecastHorizon sets the ForecastHorizon field's value.

func (*DescribePredictorOutput) SetForecastTypes

func (s *DescribePredictorOutput) SetForecastTypes(v []*string) *DescribePredictorOutput

SetForecastTypes sets the ForecastTypes field's value.

func (*DescribePredictorOutput) SetHPOConfig

SetHPOConfig sets the HPOConfig field's value.

func (*DescribePredictorOutput) SetInputDataConfig

SetInputDataConfig sets the InputDataConfig field's value.

func (*DescribePredictorOutput) SetLastModificationTime

func (s *DescribePredictorOutput) SetLastModificationTime(v time.Time) *DescribePredictorOutput

SetLastModificationTime sets the LastModificationTime field's value.

func (*DescribePredictorOutput) SetMessage

SetMessage sets the Message field's value.

func (*DescribePredictorOutput) SetPerformAutoML

func (s *DescribePredictorOutput) SetPerformAutoML(v bool) *DescribePredictorOutput

SetPerformAutoML sets the PerformAutoML field's value.

func (*DescribePredictorOutput) SetPerformHPO

SetPerformHPO sets the PerformHPO field's value.

func (*DescribePredictorOutput) SetPredictorArn

SetPredictorArn sets the PredictorArn field's value.

func (*DescribePredictorOutput) SetPredictorExecutionDetails

func (s *DescribePredictorOutput) SetPredictorExecutionDetails(v *PredictorExecutionDetails) *DescribePredictorOutput

SetPredictorExecutionDetails sets the PredictorExecutionDetails field's value.

func (*DescribePredictorOutput) SetPredictorName

func (s *DescribePredictorOutput) SetPredictorName(v string) *DescribePredictorOutput

SetPredictorName sets the PredictorName field's value.

func (*DescribePredictorOutput) SetStatus

SetStatus sets the Status field's value.

func (*DescribePredictorOutput) SetTrainingParameters

func (s *DescribePredictorOutput) SetTrainingParameters(v map[string]*string) *DescribePredictorOutput

SetTrainingParameters sets the TrainingParameters field's value.

func (DescribePredictorOutput) String

func (s DescribePredictorOutput) String() string

String returns the string representation

type EncryptionConfig

type EncryptionConfig struct {

	// The Amazon Resource Name (ARN) of the KMS key.
	//
	// KMSKeyArn is a required field
	KMSKeyArn *string `type:"string" required:"true"`

	// The ARN of the IAM role that Amazon Forecast can assume to access the AWS
	// KMS key.
	//
	// Passing a role across AWS accounts is not allowed. If you pass a role that
	// isn't in your account, you get an InvalidInputException error.
	//
	// RoleArn is a required field
	RoleArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

An AWS Key Management Service (KMS) key and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key. You can specify this optional object in the CreateDataset and CreatePredictor requests.

func (EncryptionConfig) GoString

func (s EncryptionConfig) GoString() string

GoString returns the string representation

func (*EncryptionConfig) SetKMSKeyArn

func (s *EncryptionConfig) SetKMSKeyArn(v string) *EncryptionConfig

SetKMSKeyArn sets the KMSKeyArn field's value.

func (*EncryptionConfig) SetRoleArn

func (s *EncryptionConfig) SetRoleArn(v string) *EncryptionConfig

SetRoleArn sets the RoleArn field's value.

func (EncryptionConfig) String

func (s EncryptionConfig) String() string

String returns the string representation

func (*EncryptionConfig) Validate

func (s *EncryptionConfig) Validate() error

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

type ErrorMetric

type ErrorMetric struct {

	// The Forecast type used to compute WAPE and RMSE.
	ForecastType *string `type:"string"`

	// The root-mean-square error (RMSE).
	RMSE *float64 `type:"double"`

	// The weighted absolute percentage error (WAPE).
	WAPE *float64 `type:"double"`
	// contains filtered or unexported fields
}

Provides detailed error metrics to evaluate the performance of a predictor. This object is part of the Metrics object.

func (ErrorMetric) GoString

func (s ErrorMetric) GoString() string

GoString returns the string representation

func (*ErrorMetric) SetForecastType

func (s *ErrorMetric) SetForecastType(v string) *ErrorMetric

SetForecastType sets the ForecastType field's value.

func (*ErrorMetric) SetRMSE

func (s *ErrorMetric) SetRMSE(v float64) *ErrorMetric

SetRMSE sets the RMSE field's value.

func (*ErrorMetric) SetWAPE

func (s *ErrorMetric) SetWAPE(v float64) *ErrorMetric

SetWAPE sets the WAPE field's value.

func (ErrorMetric) String

func (s ErrorMetric) String() string

String returns the string representation

type EvaluationParameters

type EvaluationParameters struct {

	// The point from the end of the dataset where you want to split the data for
	// model training and testing (evaluation). Specify the value as the number
	// of data points. The default is the value of the forecast horizon. BackTestWindowOffset
	// can be used to mimic a past virtual forecast start date. This value must
	// be greater than or equal to the forecast horizon and less than half of the
	// TARGET_TIME_SERIES dataset length.
	//
	// ForecastHorizon <= BackTestWindowOffset < 1/2 * TARGET_TIME_SERIES dataset
	// length
	BackTestWindowOffset *int64 `type:"integer"`

	// The number of times to split the input data. The default is 1. Valid values
	// are 1 through 5.
	NumberOfBacktestWindows *int64 `type:"integer"`
	// contains filtered or unexported fields
}

Parameters that define how to split a dataset into training data and testing data, and the number of iterations to perform. These parameters are specified in the predefined algorithms but you can override them in the CreatePredictor request.

func (EvaluationParameters) GoString

func (s EvaluationParameters) GoString() string

GoString returns the string representation

func (*EvaluationParameters) SetBackTestWindowOffset

func (s *EvaluationParameters) SetBackTestWindowOffset(v int64) *EvaluationParameters

SetBackTestWindowOffset sets the BackTestWindowOffset field's value.

func (*EvaluationParameters) SetNumberOfBacktestWindows

func (s *EvaluationParameters) SetNumberOfBacktestWindows(v int64) *EvaluationParameters

SetNumberOfBacktestWindows sets the NumberOfBacktestWindows field's value.

func (EvaluationParameters) String

func (s EvaluationParameters) String() string

String returns the string representation

type EvaluationResult

type EvaluationResult struct {

	// The Amazon Resource Name (ARN) of the algorithm that was evaluated.
	AlgorithmArn *string `type:"string"`

	// The array of test windows used for evaluating the algorithm. The NumberOfBacktestWindows
	// from the EvaluationParameters object determines the number of windows in
	// the array.
	TestWindows []*WindowSummary `type:"list"`
	// contains filtered or unexported fields
}

The results of evaluating an algorithm. Returned as part of the GetAccuracyMetrics response.

func (EvaluationResult) GoString

func (s EvaluationResult) GoString() string

GoString returns the string representation

func (*EvaluationResult) SetAlgorithmArn

func (s *EvaluationResult) SetAlgorithmArn(v string) *EvaluationResult

SetAlgorithmArn sets the AlgorithmArn field's value.

func (*EvaluationResult) SetTestWindows

func (s *EvaluationResult) SetTestWindows(v []*WindowSummary) *EvaluationResult

SetTestWindows sets the TestWindows field's value.

func (EvaluationResult) String

func (s EvaluationResult) String() string

String returns the string representation

type Featurization

type Featurization struct {

	// The name of the schema attribute that specifies the data field to be featurized.
	// Amazon Forecast supports the target field of the TARGET_TIME_SERIES and the
	// RELATED_TIME_SERIES datasets. For example, for the RETAIL domain, the target
	// is demand, and for the CUSTOM domain, the target is target_value. For more
	// information, see howitworks-missing-values.
	//
	// AttributeName is a required field
	AttributeName *string `min:"1" type:"string" required:"true"`

	// An array of one FeaturizationMethod object that specifies the feature transformation
	// method.
	FeaturizationPipeline []*FeaturizationMethod `min:"1" type:"list"`
	// contains filtered or unexported fields
}

Provides featurization (transformation) information for a dataset field. This object is part of the FeaturizationConfig object.

For example:

{

"AttributeName": "demand",

FeaturizationPipeline [ {

"FeaturizationMethodName": "filling",

"FeaturizationMethodParameters": {"aggregation": "avg", "backfill": "nan"}

} ]

}

func (Featurization) GoString

func (s Featurization) GoString() string

GoString returns the string representation

func (*Featurization) SetAttributeName

func (s *Featurization) SetAttributeName(v string) *Featurization

SetAttributeName sets the AttributeName field's value.

func (*Featurization) SetFeaturizationPipeline

func (s *Featurization) SetFeaturizationPipeline(v []*FeaturizationMethod) *Featurization

SetFeaturizationPipeline sets the FeaturizationPipeline field's value.

func (Featurization) String

func (s Featurization) String() string

String returns the string representation

func (*Featurization) Validate

func (s *Featurization) Validate() error

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

type FeaturizationConfig

type FeaturizationConfig struct {

	// An array of featurization (transformation) information for the fields of
	// a dataset.
	Featurizations []*Featurization `min:"1" type:"list"`

	// An array of dimension (field) names that specify how to group the generated
	// forecast.
	//
	// For example, suppose that you are generating a forecast for item sales across
	// all of your stores, and your dataset contains a store_id field. If you want
	// the sales forecast for each item by store, you would specify store_id as
	// the dimension.
	//
	// All forecast dimensions specified in the TARGET_TIME_SERIES dataset don't
	// need to be specified in the CreatePredictor request. All forecast dimensions
	// specified in the RELATED_TIME_SERIES dataset must be specified in the CreatePredictor
	// request.
	ForecastDimensions []*string `min:"1" type:"list"`

	// The frequency of predictions in a forecast.
	//
	// Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour), 30min
	// (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5 minutes), and
	// 1min (1 minute). For example, "Y" indicates every year and "5min" indicates
	// every five minutes.
	//
	// The frequency must be greater than or equal to the TARGET_TIME_SERIES dataset
	// frequency.
	//
	// When a RELATED_TIME_SERIES dataset is provided, the frequency must be equal
	// to the RELATED_TIME_SERIES dataset frequency.
	//
	// ForecastFrequency is a required field
	ForecastFrequency *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

In a CreatePredictor operation, the specified algorithm trains a model using the specified dataset group. You can optionally tell the operation to modify data fields prior to training a model. These modifications are referred to as featurization.

You define featurization using the FeaturizationConfig object. You specify an array of transformations, one for each field that you want to featurize. You then include the FeaturizationConfig object in your CreatePredictor request. Amazon Forecast applies the featurization to the TARGET_TIME_SERIES and RELATED_TIME_SERIES datasets before model training.

You can create multiple featurization configurations. For example, you might call the CreatePredictor operation twice by specifying different featurization configurations.

func (FeaturizationConfig) GoString

func (s FeaturizationConfig) GoString() string

GoString returns the string representation

func (*FeaturizationConfig) SetFeaturizations

func (s *FeaturizationConfig) SetFeaturizations(v []*Featurization) *FeaturizationConfig

SetFeaturizations sets the Featurizations field's value.

func (*FeaturizationConfig) SetForecastDimensions

func (s *FeaturizationConfig) SetForecastDimensions(v []*string) *FeaturizationConfig

SetForecastDimensions sets the ForecastDimensions field's value.

func (*FeaturizationConfig) SetForecastFrequency

func (s *FeaturizationConfig) SetForecastFrequency(v string) *FeaturizationConfig

SetForecastFrequency sets the ForecastFrequency field's value.

func (FeaturizationConfig) String

func (s FeaturizationConfig) String() string

String returns the string representation

func (*FeaturizationConfig) Validate

func (s *FeaturizationConfig) Validate() error

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

type FeaturizationMethod

type FeaturizationMethod struct {

	// The name of the method. The "filling" method is the only supported method.
	//
	// FeaturizationMethodName is a required field
	FeaturizationMethodName *string `type:"string" required:"true" enum:"FeaturizationMethodName"`

	// The method parameters (key-value pairs), which are a map of override parameters.
	// Specify these parameters to override the default values. Related Time Series
	// attributes do not accept aggregation parameters.
	//
	// The following list shows the parameters and their valid values for the "filling"
	// featurization method for a Target Time Series dataset. Bold signifies the
	// default value.
	//
	//    * aggregation: sum, avg, first, min, max
	//
	//    * frontfill: none
	//
	//    * middlefill: zero, nan (not a number), value, median, mean, min, max
	//
	//    * backfill: zero, nan, value, median, mean, min, max
	//
	// The following list shows the parameters and their valid values for a Related
	// Time Series featurization method (there are no defaults):
	//
	//    * middlefill: zero, value, median, mean, min, max
	//
	//    * backfill: zero, value, median, mean, min, max
	//
	//    * futurefill: zero, value, median, mean, min, max
	//
	// To set a filling method to a specific value, set the fill parameter to value
	// and define the value in a corresponding _value parameter. For example, to
	// set backfilling to a value of 2, include the following: "backfill": "value"
	// and "backfill_value":"2".
	FeaturizationMethodParameters map[string]*string `min:"1" type:"map"`
	// contains filtered or unexported fields
}

Provides information about the method that featurizes (transforms) a dataset field. The method is part of the FeaturizationPipeline of the Featurization object.

The following is an example of how you specify a FeaturizationMethod object.

{

"FeaturizationMethodName": "filling",

"FeaturizationMethodParameters": {"aggregation": "sum", "middlefill": "zero", "backfill": "zero"}

}

func (FeaturizationMethod) GoString

func (s FeaturizationMethod) GoString() string

GoString returns the string representation

func (*FeaturizationMethod) SetFeaturizationMethodName

func (s *FeaturizationMethod) SetFeaturizationMethodName(v string) *FeaturizationMethod

SetFeaturizationMethodName sets the FeaturizationMethodName field's value.

func (*FeaturizationMethod) SetFeaturizationMethodParameters

func (s *FeaturizationMethod) SetFeaturizationMethodParameters(v map[string]*string) *FeaturizationMethod

SetFeaturizationMethodParameters sets the FeaturizationMethodParameters field's value.

func (FeaturizationMethod) String

func (s FeaturizationMethod) String() string

String returns the string representation

func (*FeaturizationMethod) Validate

func (s *FeaturizationMethod) Validate() error

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

type Filter

type Filter struct {

	// The condition to apply. To include the objects that match the statement,
	// specify IS. To exclude matching objects, specify IS_NOT.
	//
	// Condition is a required field
	Condition *string `type:"string" required:"true" enum:"FilterConditionString"`

	// The name of the parameter to filter on.
	//
	// Key is a required field
	Key *string `type:"string" required:"true"`

	// The value to match.
	//
	// Value is a required field
	Value *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Describes a filter for choosing a subset of objects. Each filter consists of a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude the objects that match the statement, respectively. The match statement consists of a key and a value.

func (Filter) GoString

func (s Filter) GoString() string

GoString returns the string representation

func (*Filter) SetCondition

func (s *Filter) SetCondition(v string) *Filter

SetCondition sets the Condition field's value.

func (*Filter) SetKey

func (s *Filter) SetKey(v string) *Filter

SetKey sets the Key field's value.

func (*Filter) SetValue

func (s *Filter) SetValue(v string) *Filter

SetValue sets the Value field's value.

func (Filter) String

func (s Filter) String() string

String returns the string representation

func (*Filter) Validate

func (s *Filter) Validate() error

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

type ForecastExportJobSummary

type ForecastExportJobSummary struct {

	// When the forecast export job was created.
	CreationTime *time.Time `type:"timestamp"`

	// The path to the Amazon Simple Storage Service (Amazon S3) bucket where the
	// forecast is exported.
	Destination *DataDestination `type:"structure"`

	// The Amazon Resource Name (ARN) of the forecast export job.
	ForecastExportJobArn *string `type:"string"`

	// The name of the forecast export job.
	ForecastExportJobName *string `min:"1" type:"string"`

	// The last time the resource was modified. The timestamp depends on the status
	// of the job:
	//
	//    * CREATE_PENDING - The CreationTime.
	//
	//    * CREATE_IN_PROGRESS - The current timestamp.
	//
	//    * CREATE_STOPPING - The current timestamp.
	//
	//    * CREATE_STOPPED - When the job stopped.
	//
	//    * ACTIVE or CREATE_FAILED - When the job finished or failed.
	LastModificationTime *time.Time `type:"timestamp"`

	// If an error occurred, an informational message about the error.
	Message *string `type:"string"`

	// The status of the forecast export job. States include:
	//
	//    * ACTIVE
	//
	//    * CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
	//
	//    * CREATE_STOPPING, CREATE_STOPPED
	//
	//    * DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
	//
	// The Status of the forecast export job must be ACTIVE before you can access
	// the forecast in your S3 bucket.
	Status *string `type:"string"`
	// contains filtered or unexported fields
}

Provides a summary of the forecast export job properties used in the ListForecastExportJobs operation. To get the complete set of properties, call the DescribeForecastExportJob operation, and provide the listed ForecastExportJobArn.

func (ForecastExportJobSummary) GoString

func (s ForecastExportJobSummary) GoString() string

GoString returns the string representation

func (*ForecastExportJobSummary) SetCreationTime

SetCreationTime sets the CreationTime field's value.

func (*ForecastExportJobSummary) SetDestination

SetDestination sets the Destination field's value.

func (*ForecastExportJobSummary) SetForecastExportJobArn

func (s *ForecastExportJobSummary) SetForecastExportJobArn(v string) *ForecastExportJobSummary

SetForecastExportJobArn sets the ForecastExportJobArn field's value.

func (*ForecastExportJobSummary) SetForecastExportJobName

func (s *ForecastExportJobSummary) SetForecastExportJobName(v string) *ForecastExportJobSummary

SetForecastExportJobName sets the ForecastExportJobName field's value.

func (*ForecastExportJobSummary) SetLastModificationTime

func (s *ForecastExportJobSummary) SetLastModificationTime(v time.Time) *ForecastExportJobSummary

SetLastModificationTime sets the LastModificationTime field's value.

func (*ForecastExportJobSummary) SetMessage

SetMessage sets the Message field's value.

func (*ForecastExportJobSummary) SetStatus

SetStatus sets the Status field's value.

func (ForecastExportJobSummary) String

func (s ForecastExportJobSummary) String() string

String returns the string representation

type ForecastService

type ForecastService struct {
	*client.Client
}

ForecastService provides the API operation methods for making requests to Amazon Forecast Service. See this package's package overview docs for details on the service.

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

func New

New creates a new instance of the ForecastService client with a session. If additional configuration is needed for the client instance use the optional aws.Config parameter to add your extra config.

Example:

mySession := session.Must(session.NewSession())

// Create a ForecastService client from just a session.
svc := forecastservice.New(mySession)

// Create a ForecastService client with additional configuration
svc := forecastservice.New(mySession, aws.NewConfig().WithRegion("us-west-2"))

func (*ForecastService) CreateDataset

func (c *ForecastService) CreateDataset(input *CreateDatasetInput) (*CreateDatasetOutput, error)

CreateDataset API operation for Amazon Forecast Service.

Creates an Amazon Forecast dataset. The information about the dataset that you provide helps Forecast understand how to consume the data for model training. This includes the following:

* DataFrequency - How frequently your historical time-series data is collected.

* Domain and DatasetType - Each dataset has an associated dataset domain
and a type within the domain. Amazon Forecast provides a list of predefined
domains and types within each domain. For each unique dataset domain and
type within the domain, Amazon Forecast requires your data to include
a minimum set of predefined fields.

* Schema - A schema specifies the fields in the dataset, including the
field name and data type.

After creating a dataset, you import your training data into it and add the dataset to a dataset group. You use the dataset group to create a predictor. For more information, see howitworks-datasets-groups.

To get a list of all your datasets, use the ListDatasets operation.

For example Forecast datasets, see the Amazon Forecast Sample GitHub repository (https://github.com/aws-samples/amazon-forecast-samples).

The Status of a dataset must be ACTIVE before you can import training data. Use the DescribeDataset operation to get the status.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon Forecast Service's API operation CreateDataset for usage and error information.

Returned Error Types:

* InvalidInputException
We can't process the request because it includes an invalid value or a value
that exceeds the valid range.

* ResourceAlreadyExistsException
There is already a resource with this name. Try again with a different name.

* LimitExceededException
The limit on the number of resources per account has been exceeded.

See also, https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/CreateDataset

func (*ForecastService) CreateDatasetGroup

func (c *ForecastService) CreateDatasetGroup(input *CreateDatasetGroupInput) (*CreateDatasetGroupOutput, error)

CreateDatasetGroup API operation for Amazon Forecast Service.

Creates a dataset group, which holds a collection of related datasets. You can add datasets to the dataset group when you create the dataset group, or later by using the UpdateDatasetGroup operation.

After creating a dataset group and adding datasets, you use the dataset group when you create a predictor. For more information, see howitworks-datasets-groups.

To get a list of all your datasets groups, use the ListDatasetGroups operation.

The Status of a dataset group must be ACTIVE before you can use the dataset group to create a predictor. To get the status, use the DescribeDatasetGroup operation.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon Forecast Service's API operation CreateDatasetGroup for usage and error information.

Returned Error Types:

* InvalidInputException
We can't process the request because it includes an invalid value or a value
that exceeds the valid range.

* ResourceAlreadyExistsException
There is already a resource with this name. Try again with a different name.

* ResourceNotFoundException
We can't find a resource with that Amazon Resource Name (ARN). Check the
ARN and try again.

* ResourceInUseException
The specified resource is in use.

* LimitExceededException
The limit on the number of resources per account has been exceeded.

See also, https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/CreateDatasetGroup

func (*ForecastService) CreateDatasetGroupRequest

func (c *ForecastService) CreateDatasetGroupRequest(input *CreateDatasetGroupInput) (req *request.Request, output *CreateDatasetGroupOutput)

CreateDatasetGroupRequest generates a "aws/request.Request" representing the client's request for the CreateDatasetGroup operation. The "output" return value will be populated with the request's response once the request completes successfully.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See CreateDatasetGroup for more information on using the CreateDatasetGroup API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic.

// Example sending a request using the CreateDatasetGroupRequest method.
req, resp := client.CreateDatasetGroupRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

See also, https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/CreateDatasetGroup

func (*ForecastService) CreateDatasetGroupWithContext

func (c *ForecastService) CreateDatasetGroupWithContext(ctx aws.Context, input *CreateDatasetGroupInput, opts ...request.Option) (*CreateDatasetGroupOutput, error)

CreateDatasetGroupWithContext is the same as CreateDatasetGroup with the addition of the ability to pass a context and additional request options.

See CreateDatasetGroup for details on how to use this API operation.

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 (*ForecastService) CreateDatasetImportJob

func (c *ForecastService) CreateDatasetImportJob(input *CreateDatasetImportJobInput) (*CreateDatasetImportJobOutput, error)

CreateDatasetImportJob API operation for Amazon Forecast Service.

Imports your training data to an Amazon Forecast dataset. You provide the location of your training data in an Amazon Simple Storage Service (Amazon S3) bucket and the Amazon Resource Name (ARN) of the dataset that you want to import the data to.

You must specify a DataSource object that includes an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data, as Amazon Forecast makes a copy of your data and processes it in an internal AWS system. For more information, see aws-forecast-iam-roles.

The training data must be in CSV format. The delimiter must be a comma (,).

You can specify the path to a specific CSV file, the S3 bucket, or to a folder in the S3 bucket. For the latter two cases, Amazon Forecast imports all files up to the limit of 10,000 files.

Because dataset imports are not aggregated, your most recent dataset import is the one that is used when training a predictor or generating a forecast. Make sure that your most recent dataset import contains all of the data you want to model off of, and not just the new data collected since the previous import.

To get a list of all your dataset import jobs, filtered by specified criteria, use the ListDatasetImportJobs operation.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon Forecast Service's API operation CreateDatasetImportJob for usage and error information.

Returned Error Types:

* InvalidInputException
We can't process the request because it includes an invalid value or a value
that exceeds the valid range.

* ResourceAlreadyExistsException
There is already a resource with this name. Try again with a different name.

* ResourceNotFoundException
We can't find a resource with that Amazon Resource Name (ARN). Check the
ARN and try again.

* ResourceInUseException
The specified resource is in use.

* LimitExceededException
The limit on the number of resources per account has been exceeded.

See also, https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/CreateDatasetImportJob

func (*ForecastService) CreateDatasetImportJobRequest

func (c *ForecastService) CreateDatasetImportJobRequest(input *CreateDatasetImportJobInput) (req *request.Request, output *CreateDatasetImportJobOutput)

CreateDatasetImportJobRequest generates a "aws/request.Request" representing the client's request for the CreateDatasetImportJob operation. The "output" return value will be populated with the request's response once the request completes successfully.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See CreateDatasetImportJob for more information on using the CreateDatasetImportJob API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic.

// Example sending a request using the CreateDatasetImportJobRequest method.
req, resp := client.CreateDatasetImportJobRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

See also, https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/CreateDatasetImportJob

func (*ForecastService) CreateDatasetImportJobWithContext

func (c *ForecastService) CreateDatasetImportJobWithContext(ctx aws.Context, input *CreateDatasetImportJobInput, opts ...request.Option) (*CreateDatasetImportJobOutput, error)

CreateDatasetImportJobWithContext is the same as CreateDatasetImportJob with the addition of the ability to pass a context and additional request options.

See CreateDatasetImportJob for details on how to use this API operation.

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 (*ForecastService) CreateDatasetRequest

func (c *ForecastService) CreateDatasetRequest(input *CreateDatasetInput) (req *request.Request, output *CreateDatasetOutput)

CreateDatasetRequest generates a "aws/request.Request" representing the client's request for the CreateDataset operation. The "output" return value will be populated with the request's response once the request completes successfully.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See CreateDataset for more information on using the CreateDataset API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic.

// Example sending a request using the CreateDatasetRequest method.
req, resp := client.CreateDatasetRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

See also, https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/CreateDataset

func (*ForecastService) CreateDatasetWithContext

func (c *ForecastService) CreateDatasetWithContext(ctx aws.Context, input *CreateDatasetInput, opts ...request.Option) (*CreateDatasetOutput, error)

CreateDatasetWithContext is the same as CreateDataset with the addition of the ability to pass a context and additional request options.

See CreateDataset for details on how to use this API operation.

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 (*ForecastService) CreateForecast

func (c *ForecastService) CreateForecast(input *CreateForecastInput) (*CreateForecastOutput, error)

CreateForecast API operation for Amazon Forecast Service.

Creates a forecast for each item in the TARGET_TIME_SERIES dataset that was used to train the predictor. This is known as inference. To retrieve the forecast for a single item at low latency, use the operation. To export the complete forecast into your Amazon Simple Storage Service (Amazon S3) bucket, use the CreateForecastExportJob operation.

The range of the forecast is determined by the ForecastHorizon value, which you specify in the CreatePredictor request. When you query a forecast, you can request a specific date range within the forecast.

To get a list of all your forecasts, use the ListForecasts operation.

The forecasts generated by Amazon Forecast are in the same time zone as the dataset that was used to create the predictor.

For more information, see howitworks-forecast.

The Status of the forecast must be ACTIVE before you can query or export the forecast. Use the DescribeForecast operation to get the status.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon Forecast Service's API operation CreateForecast for usage and error information.

Returned Error Types:

* InvalidInputException
We can't process the request because it includes an invalid value or a value
that exceeds the valid range.

* ResourceAlreadyExistsException
There is already a resource with this name. Try again with a different name.

* ResourceNotFoundException
We can't find a resource with that Amazon Resource Name (ARN). Check the
ARN and try again.

* ResourceInUseException
The specified resource is in use.

* LimitExceededException
The limit on the number of resources per account has been exceeded.

See also, https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/CreateForecast

func (*ForecastService) CreateForecastExportJob

CreateForecastExportJob API operation for Amazon Forecast Service.

Exports a forecast created by the CreateForecast operation to your Amazon Simple Storage Service (Amazon S3) bucket. The forecast file name will match the following conventions:

<ForecastExportJobName>_<ExportTimestamp>_<PartNumber>

where the <ExportTimestamp> component is in Java SimpleDateFormat (yyyy-MM-ddTHH-mm-ssZ).

You must specify a DataDestination object that includes an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket. For more information, see aws-forecast-iam-roles.

For more information, see howitworks-forecast.

To get a list of all your forecast export jobs, use the ListForecastExportJobs operation.

The Status of the forecast export job must be ACTIVE before you can access the forecast in your Amazon S3 bucket. To get the status, use the DescribeForecastExportJob operation.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon Forecast Service's API operation CreateForecastExportJob for usage and error information.

Returned Error Types:

* InvalidInputException
We can't process the request because it includes an invalid value or a value
that exceeds the valid range.

* ResourceAlreadyExistsException
There is already a resource with this name. Try again with a different name.

* ResourceNotFoundException
We can't find a resource with that Amazon Resource Name (ARN). Check the
ARN and try again.

* ResourceInUseException
The specified resource is in use.

* LimitExceededException
The limit on the number of resources per account has been exceeded.

See also, https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/CreateForecastExportJob

func (*ForecastService) CreateForecastExportJobRequest

func (c *ForecastService) CreateForecastExportJobRequest(input *CreateForecastExportJobInput) (req *request.Request, output *CreateForecastExportJobOutput)

CreateForecastExportJobRequest generates a "aws/request.Request" representing the client's request for the CreateForecastExportJob operation. The "output" return value will be populated with the request's response once the request completes successfully.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See CreateForecastExportJob for more information on using the CreateForecastExportJob API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic.

// Example sending a request using the CreateForecastExportJobRequest method.
req, resp := client.CreateForecastExportJobRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

See also, https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/CreateForecastExportJob

func (*ForecastService) CreateForecastExportJobWithContext

func (c *ForecastService) CreateForecastExportJobWithContext(ctx aws.Context, input *CreateForecastExportJobInput, opts ...request.Option) (*CreateForecastExportJobOutput, error)

CreateForecastExportJobWithContext is the same as CreateForecastExportJob with the addition of the ability to pass a context and additional request options.

See CreateForecastExportJob for details on how to use this API operation.

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 (*ForecastService) CreateForecastRequest

func (c *ForecastService) CreateForecastRequest(input *CreateForecastInput) (req *request.Request, output *CreateForecastOutput)

CreateForecastRequest generates a "aws/request.Request" representing the client's request for the CreateForecast operation. The "output" return value will be populated with the request's response once the request completes successfully.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See CreateForecast for more information on using the CreateForecast API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic.

// Example sending a request using the CreateForecastRequest method.
req, resp := client.CreateForecastRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

See also, https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/CreateForecast

func (*ForecastService) CreateForecastWithContext

func (c *ForecastService) CreateForecastWithContext(ctx aws.Context, input *CreateForecastInput, opts ...request.Option) (*CreateForecastOutput, error)

CreateForecastWithContext is the same as CreateForecast with the addition of the ability to pass a context and additional request options.

See CreateForecast for details on how to use this API operation.

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 (*ForecastService) CreatePredictor

func (c *ForecastService) CreatePredictor(input *CreatePredictorInput) (*CreatePredictorOutput, error)

CreatePredictor API operation for Amazon Forecast Service.

Creates an Amazon Forecast predictor.

In the request, provide a dataset group and either specify an algorithm or let Amazon Forecast choose an algorithm for you using AutoML. If you specify an algorithm, you also can override algorithm-specific hyperparameters.

Amazon Forecast uses the algorithm to train a predictor using the latest version of the datasets in the specified dataset group. You can then generate a forecast using the CreateForecast operation.

To see the evaluation metrics, use the GetAccuracyMetrics operation.

You can specify a featurization configuration to fill and aggregate the data fields in the TARGET_TIME_SERIES dataset to improve model training. For more information, see FeaturizationConfig.

For RELATED_TIME_SERIES datasets, CreatePredictor verifies that the DataFrequency specified when the dataset was created matches the ForecastFrequency. TARGET_TIME_SERIES datasets don't have this restriction. Amazon Forecast also verifies the delimiter and timestamp format. For more information, see howitworks-datasets-groups.

By default, predictors are trained and evaluated at the 0.1 (P10), 0.5 (P50), and 0.9 (P90) quantiles. You can choose custom forecast types to train and evaluate your predictor by setting the ForecastTypes.

AutoML

If you want Amazon Forecast to evaluate each algorithm and choose the one that minimizes the objective function, set PerformAutoML to true. The objective function is defined as the mean of the weighted losses over the forecast types. By default, these are the p10, p50, and p90 quantile losses. For more information, see EvaluationResult.

When AutoML is enabled, the following properties are disallowed:

* AlgorithmArn

* HPOConfig

* PerformHPO

* TrainingParameters

To get a list of all of your predictors, use the ListPredictors operation.

Before you can use the predictor to create a forecast, the Status of the predictor must be ACTIVE, signifying that training has completed. To get the status, use the DescribePredictor operation.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon Forecast Service's API operation CreatePredictor for usage and error information.

Returned Error Types:

* InvalidInputException
We can't process the request because it includes an invalid value or a value
that exceeds the valid range.

* ResourceAlreadyExistsException
There is already a resource with this name. Try again with a different name.

* ResourceNotFoundException
We can't find a resource with that Amazon Resource Name (ARN). Check the
ARN and try again.

* ResourceInUseException
The specified resource is in use.

* LimitExceededException
The limit on the number of resources per account has been exceeded.

See also, https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/CreatePredictor

func (*ForecastService) CreatePredictorBacktestExportJob

CreatePredictorBacktestExportJob API operation for Amazon Forecast Service.

Exports backtest forecasts and accuracy metrics generated by the CreatePredictor operation. Two folders containing CSV files are exported to your specified S3 bucket.

The export file names will match the following conventions:

<ExportJobName>_<ExportTimestamp>_<PartNumber>.csv

The <ExportTimestamp> component is in Java SimpleDate format (yyyy-MM-ddTHH-mm-ssZ).

You must specify a DataDestination object that includes an Amazon S3 bucket and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket. For more information, see aws-forecast-iam-roles.

The Status of the export job must be ACTIVE before you can access the export in your Amazon S3 bucket. To get the status, use the DescribePredictorBacktestExportJob operation.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon Forecast Service's API operation CreatePredictorBacktestExportJob for usage and error information.

Returned Error Types:

* InvalidInputException
We can't process the request because it includes an invalid value or a value
that exceeds the valid range.

* ResourceAlreadyExistsException
There is already a resource with this name. Try again with a different name.

* ResourceNotFoundException
We can't find a resource with that Amazon Resource Name (ARN). Check the
ARN and try again.

* ResourceInUseException
The specified resource is in use.

* LimitExceededException
The limit on the number of resources per account has been exceeded.

See also, https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/CreatePredictorBacktestExportJob

func (*ForecastService) CreatePredictorBacktestExportJobRequest

func (c *ForecastService) CreatePredictorBacktestExportJobRequest(input *CreatePredictorBacktestExportJobInput) (req *request.Request, output *CreatePredictorBacktestExportJobOutput)

CreatePredictorBacktestExportJobRequest generates a "aws/request.Request" representing the client's request for the CreatePredictorBacktestExportJob operation. The "output" return value will be populated with the request's response once the request completes successfully.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See CreatePredictorBacktestExportJob for more information on using the CreatePredictorBacktestExportJob API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic.

// Example sending a request using the CreatePredictorBacktestExportJobRequest method.
req, resp := client.CreatePredictorBacktestExportJobRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

See also, https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/CreatePredictorBacktestExportJob

func (*ForecastService) CreatePredictorBacktestExportJobWithContext

func (c *ForecastService) CreatePredictorBacktestExportJobWithContext(ctx aws.Context, input *CreatePredictorBacktestExportJobInput, opts ...request.Option) (*CreatePredictorBacktestExportJobOutput, error)

CreatePredictorBacktestExportJobWithContext is the same as CreatePredictorBacktestExportJob with the addition of the ability to pass a context and additional request options.

See CreatePredictorBacktestExportJob for details on how to use this API operation.

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 (*ForecastService) CreatePredictorRequest

func (c *ForecastService) CreatePredictorRequest(input *CreatePredictorInput) (req *request.Request, output *CreatePredictorOutput)

CreatePredictorRequest generates a "aws/request.Request" representing the client's request for the CreatePredictor operation. The "output" return value will be populated with the request's response once the request completes successfully.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See CreatePredictor for more information on using the CreatePredictor API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic.

// Example sending a request using the CreatePredictorRequest method.
req, resp := client.CreatePredictorRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

See also, https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/CreatePredictor

func (*ForecastService) CreatePredictorWithContext

func (c *ForecastService) CreatePredictorWithContext(ctx aws.Context, input *CreatePredictorInput, opts ...request.Option) (*CreatePredictorOutput, error)

CreatePredictorWithContext is the same as CreatePredictor with the addition of the ability to pass a context and additional request options.

See CreatePredictor for details on how to use this API operation.

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 (*ForecastService) DeleteDataset

func (c *ForecastService) DeleteDataset(input *DeleteDatasetInput) (*DeleteDatasetOutput, error)

DeleteDataset API operation for Amazon Forecast Service.

Deletes an Amazon Forecast dataset that was created using the CreateDataset operation. You can only delete datasets that have a status of ACTIVE or CREATE_FAILED. To get the status use the DescribeDataset operation.

Forecast does not automatically update any dataset groups that contain the deleted dataset. In order to update the dataset group, use the operation, omitting the deleted dataset's ARN.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon Forecast Service's API operation DeleteDataset for usage and error information.

Returned Error Types:

* InvalidInputException
We can't process the request because it includes an invalid value or a value
that exceeds the valid range.

* ResourceNotFoundException
We can't find a resource with that Amazon Resource Name (ARN). Check the
ARN and try again.

* ResourceInUseException
The specified resource is in use.

See also, https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/DeleteDataset

func (*ForecastService) DeleteDatasetGroup

func (c *ForecastService) DeleteDatasetGroup(input *DeleteDatasetGroupInput) (*DeleteDatasetGroupOutput, error)

DeleteDatasetGroup API operation for Amazon Forecast Service.

Deletes a dataset group created using the CreateDatasetGroup operation. You can only delete dataset groups that have a status of ACTIVE, CREATE_FAILED, or UPDATE_FAILED. To get the status, use the DescribeDatasetGroup operation.

This operation deletes only the dataset group, not the datasets in the group.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon Forecast Service's API operation DeleteDatasetGroup for usage and error information.

Returned Error Types:

* InvalidInputException
We can't process the request because it includes an invalid value or a value
that exceeds the valid range.

* ResourceNotFoundException
We can't find a resource with that Amazon Resource Name (ARN). Check the
ARN and try again.

* ResourceInUseException
The specified resource is in use.

See also, https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/DeleteDatasetGroup

func (*ForecastService) DeleteDatasetGroupRequest

func (c *ForecastService) DeleteDatasetGroupRequest(input *DeleteDatasetGroupInput) (req *request.Request, output *DeleteDatasetGroupOutput)

DeleteDatasetGroupRequest generates a "aws/request.Request" representing the client's request for the DeleteDatasetGroup operation. The "output" return value will be populated with the request's response once the request completes successfully.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See DeleteDatasetGroup for more information on using the DeleteDatasetGroup API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic.

// Example sending a request using the DeleteDatasetGroupRequest method.
req, resp := client.DeleteDatasetGroupRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}