org.deeplearning4j.plot

Class Tsne.Builder

java.lang.Object

org.deeplearning4j.plot.Tsne.Builder

Enclosing class:

Tsne

public static class Tsne.Builder
extends java.lang.Object

Field Summary

Fields

Modifier and Type	Field and Description
protected double	finalMomentum
protected double	initialMomentum
protected double	learningRate
protected int	maxIter
protected double	minGain
protected double	momentum
protected boolean	normalize
protected double	perplexity
protected double	realMin
protected int	stopLyingIteration
protected int	switchMomentumIteration
protected double	tolerance
protected boolean	useAdaGrad
protected boolean	usePca

Constructor Summary

Constructors

Constructor and Description
Builder()

Method Summary

Modifier and Type	Method and Description
Tsne	build()
Tsne.Builder	learningRate(double learningRate)
Tsne.Builder	minGain(double minGain)
Tsne.Builder	normalize(boolean normalize)
Tsne.Builder	perplexity(double perplexity)
Tsne.Builder	setFinalMomentum(double finalMomentum)
Tsne.Builder	setInitialMomentum(double initialMomentum)
Tsne.Builder	setMaxIter(int maxIter)
Tsne.Builder	setMomentum(double momentum)
Tsne.Builder	setRealMin(double realMin)
Tsne.Builder	setSwitchMomentumIteration(int switchMomentumIteration)
Tsne.Builder	stopLyingIteration(int stopLyingIteration)
Tsne.Builder	tolerance(double tolerance)
Tsne.Builder	useAdaGrad(boolean useAdaGrad)
Tsne.Builder	usePca(boolean usePca)

Methods inherited from class java.lang.Object

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

Field Detail

maxIter

protected int maxIter

realMin

protected double realMin

initialMomentum

protected double initialMomentum

finalMomentum

protected double finalMomentum

momentum

protected double momentum

switchMomentumIteration

protected int switchMomentumIteration

normalize

protected boolean normalize

usePca

protected boolean usePca

stopLyingIteration

protected int stopLyingIteration

tolerance

protected double tolerance

learningRate

protected double learningRate

useAdaGrad

protected boolean useAdaGrad

perplexity

protected double perplexity

minGain

protected double minGain

Constructor Detail

Builder

public Builder()

Method Detail

minGain

public Tsne.Builder minGain(double minGain)

perplexity

public Tsne.Builder perplexity(double perplexity)

useAdaGrad

public Tsne.Builder useAdaGrad(boolean useAdaGrad)

learningRate

public Tsne.Builder learningRate(double learningRate)

tolerance

public Tsne.Builder tolerance(double tolerance)

stopLyingIteration

public Tsne.Builder stopLyingIteration(int stopLyingIteration)

usePca

public Tsne.Builder usePca(boolean usePca)

normalize

public Tsne.Builder normalize(boolean normalize)

setMaxIter

public Tsne.Builder setMaxIter(int maxIter)

setRealMin

public Tsne.Builder setRealMin(double realMin)

setInitialMomentum

public Tsne.Builder setInitialMomentum(double initialMomentum)

setFinalMomentum

public Tsne.Builder setFinalMomentum(double finalMomentum)

setMomentum

public Tsne.Builder setMomentum(double momentum)

setSwitchMomentumIteration

public Tsne.Builder setSwitchMomentumIteration(int switchMomentumIteration)

build

public Tsne build()