org.nd4j.linalg.ops.transforms

Class Transforms

java.lang.Object

org.nd4j.linalg.ops.transforms.Transforms

public class Transforms
extends Object

Functional interface for the different transform classes

Constructor Summary

Constructors

Constructor and Description
Transforms()

Method Summary

Methods

Modifier and Type	Method and Description
static IComplexNDArray	abs(IComplexNDArray ndArray)
static INDArray	abs(INDArray ndArray)
static double	cosineSim(INDArray d1, INDArray d2) Consine similarity
static INDArray	downSample(INDArray d1, int[] stride) Down sampling a signal (specifically the first 2 dimensions)
static IComplexNDArray	eq(IComplexNDArray ndArray) Binary matrix of whether the number at a given index is equal
static INDArray	eq(INDArray ndArray) Binary matrix of whether the number at a given index is equal
static IComplexNDArray	exp(IComplexNDArray ndArray)
static INDArray	exp(INDArray ndArray)
static IComplexNDArray	floor(IComplexNDArray ndArray) Binary matrix of whether the number at a given index is equal
static INDArray	floor(INDArray ndArray) Binary matrix of whether the number at a given index is greatger than
static IComplexNDArray	gt(IComplexNDArray ndArray) Binary matrix of whether the number at a given index is equal
static INDArray	gt(INDArray ndArray) Binary matrix of whether the number at a given index is equal
static IComplexNDArray	hardTanh(IComplexNDArray ndArray)
static INDArray	hardTanh(INDArray ndArray)
static IComplexNDArray	identity(IComplexNDArray ndArray)
static INDArray	identity(INDArray ndArray)
static IComplexNDArray	log(IComplexNDArray ndArray)
static INDArray	log(INDArray ndArray)
static IComplexNDArray	lt(IComplexNDArray ndArray) Binary matrix of whether the number at a given index is equal
static INDArray	lt(INDArray ndArray) Binary matrix of whether the number at a given index is equal
static IComplexNDArray	max(IComplexNDArray ndArray)
static INDArray	max(INDArray ndArray)
static INDArray	maxPool(INDArray input, int[] ds, boolean ignoreBorder) Max pooling
static IComplexNDArray	neg(IComplexNDArray ndArray)
static INDArray	neg(INDArray ndArray)
static INDArray	normalizeZeroMeanAndUnitVariance(INDArray toNormalize)
static INDArray	pool(INDArray toPool, int[] stride) Pooled expectations
static IComplexNDArray	pow(IComplexNDArray ndArray, IComplexNumber power)
static INDArray	pow(INDArray ndArray, Number power)
static IComplexNDArray	round(IComplexNDArray ndArray)
static INDArray	round(INDArray ndArray)
static IComplexNDArray	sigmoid(IComplexNDArray ndArray)
static INDArray	sigmoid(INDArray ndArray)
static IComplexNDArray	sqrt(IComplexNDArray ndArray)
static INDArray	sqrt(INDArray ndArray)
static IComplexNDArray	stabilize(IComplexNDArray ndArray, float k)
static INDArray	stabilize(INDArray ndArray, float k)
static IComplexNDArray	tanh(IComplexNDArray ndArray)
static INDArray	tanh(INDArray ndArray)
static INDArray	unitVec(INDArray toScale) Scale by 1 / norm2 of the matrix
static INDArray	upSample(INDArray d, INDArray scale) Upsampling a signal (specifically the first 2 dimensions

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Transforms

public Transforms()

Method Detail

neg

public static INDArray neg(INDArray ndArray)

neg

public static IComplexNDArray neg(IComplexNDArray ndArray)

maxPool

public static INDArray maxPool(INDArray input,
               int[] ds,
               boolean ignoreBorder)

Max pooling

Parameters:

input -

ds - the strides with which to pool expectations

Returns:

downSample

public static INDArray downSample(INDArray d1,
                  int[] stride)

Down sampling a signal (specifically the first 2 dimensions)

Parameters:

d1 -

stride -

Returns:

pool

public static INDArray pool(INDArray toPool,
            int[] stride)

Pooled expectations

Parameters:

toPool - the ndarray to pool

stride - the 2d stride across the ndarray

Returns:

upSample

public static INDArray upSample(INDArray d,
                INDArray scale)

Upsampling a signal (specifically the first 2 dimensions

Parameters:

d -

scale -

Returns:

cosineSim

public static double cosineSim(INDArray d1,
               INDArray d2)

Consine similarity

Parameters:

d1 -

d2 -

Returns:

normalizeZeroMeanAndUnitVariance

public static INDArray normalizeZeroMeanAndUnitVariance(INDArray toNormalize)

unitVec

public static INDArray unitVec(INDArray toScale)

Scale by 1 / norm2 of the matrix

Parameters:

toScale - the ndarray to scale

Returns:

the scaled ndarray

eq

public static INDArray eq(INDArray ndArray)

Binary matrix of whether the number at a given index is equal

Parameters:

ndArray -

Returns:

eq

public static IComplexNDArray eq(IComplexNDArray ndArray)

Binary matrix of whether the number at a given index is equal

Parameters:

ndArray -

Returns:

floor

public static INDArray floor(INDArray ndArray)

Binary matrix of whether the number at a given index is greatger than

Parameters:

ndArray -

Returns:

floor

public static IComplexNDArray floor(IComplexNDArray ndArray)

Binary matrix of whether the number at a given index is equal

Parameters:

ndArray -

Returns:

gt

public static INDArray gt(INDArray ndArray)

Binary matrix of whether the number at a given index is equal

Parameters:

ndArray -

Returns:

gt

public static IComplexNDArray gt(IComplexNDArray ndArray)

Binary matrix of whether the number at a given index is equal

Parameters:

ndArray -

Returns:

lt

public static INDArray lt(INDArray ndArray)

Binary matrix of whether the number at a given index is equal

Parameters:

ndArray -

Returns:

lt

public static IComplexNDArray lt(IComplexNDArray ndArray)

Binary matrix of whether the number at a given index is equal

Parameters:

ndArray -

Returns:

stabilize

public static INDArray stabilize(INDArray ndArray,
                 float k)

stabilize

public static IComplexNDArray stabilize(IComplexNDArray ndArray,
                        float k)

abs

public static INDArray abs(INDArray ndArray)

abs

public static IComplexNDArray abs(IComplexNDArray ndArray)

exp

public static INDArray exp(INDArray ndArray)

exp

public static IComplexNDArray exp(IComplexNDArray ndArray)

hardTanh

public static INDArray hardTanh(INDArray ndArray)

hardTanh

public static IComplexNDArray hardTanh(IComplexNDArray ndArray)

identity

public static INDArray identity(INDArray ndArray)

identity

public static IComplexNDArray identity(IComplexNDArray ndArray)

max

public static INDArray max(INDArray ndArray)

max

public static IComplexNDArray max(IComplexNDArray ndArray)

pow

public static INDArray pow(INDArray ndArray,
           Number power)

pow

public static IComplexNDArray pow(IComplexNDArray ndArray,
                  IComplexNumber power)

round

public static INDArray round(INDArray ndArray)

round

public static IComplexNDArray round(IComplexNDArray ndArray)

sigmoid

public static INDArray sigmoid(INDArray ndArray)

sigmoid

public static IComplexNDArray sigmoid(IComplexNDArray ndArray)

sqrt

public static INDArray sqrt(INDArray ndArray)

sqrt

public static IComplexNDArray sqrt(IComplexNDArray ndArray)

tanh

public static INDArray tanh(INDArray ndArray)

tanh

public static IComplexNDArray tanh(IComplexNDArray ndArray)

log

public static INDArray log(INDArray ndArray)

log

public static IComplexNDArray log(IComplexNDArray ndArray)