numpygo

package module

v0.0.0-...-fbe61e3 Latest Latest Go to latest Published: Jun 13, 2020 License: GPL-3.0 Imports: 11 Imported by: 0

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Repository

github.com/praveenpenumaka/numpygo

Links

Open Source Insights

README ¶

numpygo

numpy implementation in golang

Why?

Strictly for learning purposes

TODO

Benchmarks
API consistency with numpy
Lot of vector operations

Note

Code is not optimized

Documentation ¶

Index ¶

Constants
func IsDotOperationAllowed(a, b NDArray, boardcasting ...bool) bool
func ParseDim(sDims string, shape *domain.IVector) *domain.Dimensions
func Split(a NDArray, index int, axis ...int) (NDArray, NDArray)
type DataSet
- func LoadData(datasetName string) DataSet
- func LoadDataFromFile(path string, featureNames []string) DataSet
type NDArray
type NDIndex
- func NewNDIndex(shape []int) *NDIndex

Constants ¶

View Source

const OneBigNumber = 1000000

Variables ¶

This section is empty.

Functions ¶

func IsDotOperationAllowed ¶

func IsDotOperationAllowed(a, b NDArray, boardcasting ...bool) bool

The size of the result array created by broadcast operations is the maximum size along each dimension from the input arrays.

func ParseDim ¶

func ParseDim(sDims string, shape *domain.IVector) *domain.Dimensions

func Split ¶

func Split(a NDArray, index int, axis ...int) (NDArray, NDArray)

Types ¶

type DataSet ¶

type DataSet struct {
	Data         NDArray
	Target       NDArray
	TargetNames  []string
	FeatureNames []string
	DatasetPath  string
	Description  string
}

func LoadData ¶

func LoadData(datasetName string) DataSet

TODO: Add tests

func LoadDataFromFile ¶

func LoadDataFromFile(path string, featureNames []string) DataSet

TODO: Add tests

type NDArray ¶

type NDArray struct {
	Elements domain.Vector
	Shape    domain.IVector
	Strides  domain.IVector
	DType    string
	Dims     int
	Size     int
}

func Add ¶

func Add(nd NDArray, factor float64) NDArray

func Addition ¶

func Addition(a, b NDArray) NDArray

func Amax ¶

func Amax(a NDArray, axis ...int) NDArray

return maximum along given axis

func Amin ¶

func Amin(a NDArray, axis ...int) NDArray

func Arange ¶

func Arange(size ...int) NDArray

func Argmax ¶

func Argmax(a NDArray, axis ...int) NDArray

func Argmin ¶

func Argmin(a NDArray, axis ...int) NDArray

func ArrayMultiply ¶

func ArrayMultiply(a, b NDArray) NDArray

TODO: Implement this

func Clip ¶

func Clip(a NDArray, min, max float64) NDArray

Clip (limit) the values in an array.

func Concatenate ¶

func Concatenate(a, b NDArray, axis ...int) NDArray

func Diag ¶

func Diag(nd NDArray, k ...int) NDArray

func DimensionReductionV2 ¶

func DimensionReductionV2(lambda func(v domain.Vector) float64, a NDArray, axis int) NDArray

func Div ¶

func Div(nd NDArray, factor float64) NDArray

func Division ¶

func Division(a, b NDArray) NDArray

func Dot ¶

func Dot(x, y NDArray, lambda func(float64, float64) float64) NDArray

ARRAY DOT OPERATIONS

func Equal ¶

func Equal(nd NDArray, factor float64) NDArray

func Equals ¶

func Equals(a NDArray, b NDArray) NDArray

TODO: Add test cases

func Exp ¶

func Exp(nd NDArray) NDArray

func FilterRows ¶

func FilterRows(a NDArray, lambda func(row *domain.Vector) bool) NDArray

func ForEachElement ¶

func ForEachElement(nd NDArray, lambda func(v float64) float64) NDArray

EACH ELEMENT - lambda functions

func Log ¶

func Log(nd NDArray) NDArray

func Log2 ¶

func Log2(nd NDArray) NDArray

func MaxNDArray ¶

func MaxNDArray(dtype string, shape []int) NDArray

func Mult ¶

func Mult(nd NDArray, factor float64) NDArray

func Multiply ¶

func Multiply(a, b NDArray) NDArray

func NewNDArray ¶

func NewNDArray(dtype string, shape []int, noinit ...bool) NDArray

func Ones ¶

func Ones(dtype string, shape ...int) NDArray

func Pow ¶

func Pow(nd NDArray, factor float64) NDArray

func Rand ¶

func Rand(dtype string, shape ...int) NDArray

func Shuffle ¶

func Shuffle(nd NDArray) NDArray

This function only shuffles the array along the first axis of a multi-dimensional array.

func Sub ¶

func Sub(nd NDArray, factor float64) NDArray

func Subtract ¶

func Subtract(a, b NDArray) NDArray

func Sum ¶

func Sum(a NDArray, axis ...int) NDArray

func Transpose ¶

func Transpose(nd NDArray) NDArray

func Unique ¶

func Unique(a NDArray, axis ...int) NDArray

TODO: Verify this multi dimension array

func Zeros ¶

func Zeros(dtype string, shape ...int) NDArray

func (*NDArray) CopyLike ¶

func (nd *NDArray) CopyLike() NDArray

func (*NDArray) Get ¶

func (nd *NDArray) Get(dims *domain.Dimensions) (NDArray, error)

func (*NDArray) GetIndexed ¶

func (nd *NDArray) GetIndexed(indexes NDArray) NDArray

TODO: implement this

func (*NDArray) Len ¶

func (nd *NDArray) Len() int

func (*NDArray) Mean ¶

func (nd *NDArray) Mean(axis ...int) NDArray

TODO: Write test cases

func (*NDArray) Reshape ¶

func (nd *NDArray) Reshape(shape *domain.IVector) bool

TODO: Verify correctness

func (*NDArray) Set ¶

func (nd *NDArray) Set(dims *domain.Dimensions, value float64) error

type NDIndex ¶

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

func NewNDIndex ¶

func NewNDIndex(shape []int) *NDIndex

func (*NDIndex) IncrementIndex ¶

func (ndIndex *NDIndex) IncrementIndex() bool

func (*NDIndex) Next ¶

func (ndIndex *NDIndex) Next() *domain.IVector

This returns new object So that application can use the newly created object

func (*NDIndex) Reset ¶

func (ndIndex *NDIndex) Reset()

Source Files ¶

View all Source files

Directories ¶

Path	Synopsis
domain
r_funcs
v_funcs
loaders
utils

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