Uses of Class
org.deeplearning4j.berkeley.Pair

Packages that use Pair

Package	Description
org.deeplearning4j.base
org.deeplearning4j.berkeley
org.deeplearning4j.da
org.deeplearning4j.datasets
org.deeplearning4j.nn
org.deeplearning4j.rbm
org.deeplearning4j.util

Uses of Pair in org.deeplearning4j.base

Methods in org.deeplearning4j.base that return Pair

Modifier and Type	Method and Description
static Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>	IrisUtils.loadIris(int rows)

Uses of Pair in org.deeplearning4j.berkeley

Methods in org.deeplearning4j.berkeley that return Pair

Modifier and Type	Method and Description
Pair<K,V>	CounterMap.argMax() Finds the key with maximum count.
static <S,T> Pair<S,T>	Pair.makePair(S first, T second)
static <S,T> Pair<S,T>	Pair.newPair(S first, T second)
Pair<S,F>	Pair.reverse()

Methods in org.deeplearning4j.berkeley that return types with arguments of type Pair

Modifier and Type	Method and Description
Iterator<Pair<K,V>>	CounterMap.getPairIterator()
static <S,T> Iterator<Pair<S,T>>	Iterators.zip(Iterator<S> s, Iterator<T> t)

Methods in org.deeplearning4j.berkeley with parameters of type Pair

Modifier and Type	Method and Description
int	Pair.LexicographicPairComparator.compare(Pair<F,S> pair1, Pair<F,S> pair2)
int	Pair.LexicographicPairComparator.compare(Pair<F,S> pair1, Pair<F,S> pair2)
int	Pair.DefaultLexicographicPairComparator.compare(Pair<F,S> o1, Pair<F,S> o2)
int	Pair.DefaultLexicographicPairComparator.compare(Pair<F,S> o1, Pair<F,S> o2)
int	Pair.FirstComparator.compare(Pair<S,T> p1, Pair<S,T> p2)
int	Pair.FirstComparator.compare(Pair<S,T> p1, Pair<S,T> p2)
int	Pair.ReverseFirstComparator.compare(Pair<S,T> p1, Pair<S,T> p2)
int	Pair.ReverseFirstComparator.compare(Pair<S,T> p1, Pair<S,T> p2)
int	Pair.SecondComparator.compare(Pair<S,T> p1, Pair<S,T> p2)
int	Pair.SecondComparator.compare(Pair<S,T> p1, Pair<S,T> p2)
int	Pair.ReverseSecondComparator.compare(Pair<S,T> p1, Pair<S,T> p2)
int	Pair.ReverseSecondComparator.compare(Pair<S,T> p1, Pair<S,T> p2)

Uses of Pair in org.deeplearning4j.da

Methods in org.deeplearning4j.da that return Pair

Modifier and Type	Method and Description
Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>	DenoisingAutoEncoder.sampleHiddenGivenVisible(org.jblas.DoubleMatrix v)
Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>	DenoisingAutoEncoder.sampleVisibleGivenHidden(org.jblas.DoubleMatrix h)

Uses of Pair in org.deeplearning4j.datasets

Subclasses of Pair in org.deeplearning4j.datasets

Modifier and Type	Class and Description
class	DataSet A data set (example/outcome pairs) The outcomes are specifically for neural network encoding such that any labels that are considered true are 1s.
class	Example

Methods in org.deeplearning4j.datasets that return Pair

Modifier and Type	Method and Description
Pair<DataSet,DataSet>	DataSet.splitTestAndTrain(int numHoldout)

Constructors in org.deeplearning4j.datasets with parameters of type Pair

Constructor and Description
DataSet(Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> pair)

Uses of Pair in org.deeplearning4j.nn

Methods in org.deeplearning4j.nn that return Pair

Modifier and Type	Method and Description
Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>	NeuralNetwork.sampleHiddenGivenVisible(org.jblas.DoubleMatrix v) Sample hidden mean and sample given visible
Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>	NeuralNetwork.sampleVisibleGivenHidden(org.jblas.DoubleMatrix h) Sample visible mean and sample given hidden

Uses of Pair in org.deeplearning4j.rbm

Methods in org.deeplearning4j.rbm that return Pair

Modifier and Type	Method and Description
Pair<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>,Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>>	RBM.gibbhVh(org.jblas.DoubleMatrix h) Gibbs sampling step: hidden ---> visible ---> hidden
Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>	GaussianRectifiedLinearRBM.sampleHiddenGivenVisible(org.jblas.DoubleMatrix v) Rectified linear units for output
Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>	RBM.sampleHiddenGivenVisible(org.jblas.DoubleMatrix v) Binomial sampling of the hidden values given visible
Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>	GaussianRectifiedLinearRBM.sampleVisibleGivenHidden(org.jblas.DoubleMatrix h)
Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>	RBM.sampleVisibleGivenHidden(org.jblas.DoubleMatrix h) Guess the visible values given the hidden
Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>	CRBM.sampleVisibleGivenHidden(org.jblas.DoubleMatrix h)

Methods in org.deeplearning4j.rbm that return types with arguments of type Pair

Modifier and Type	Method and Description
Pair<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>,Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>>	RBM.gibbhVh(org.jblas.DoubleMatrix h) Gibbs sampling step: hidden ---> visible ---> hidden
Pair<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>,Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>>	RBM.gibbhVh(org.jblas.DoubleMatrix h) Gibbs sampling step: hidden ---> visible ---> hidden

Uses of Pair in org.deeplearning4j.util

Method parameters in org.deeplearning4j.util with type arguments of type Pair

Modifier and Type	Method and Description
static void	InputSplit.splitInputs(org.jblas.DoubleMatrix inputs, org.jblas.DoubleMatrix outcomes, List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> train, List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> test, double split)
static void	InputSplit.splitInputs(org.jblas.DoubleMatrix inputs, org.jblas.DoubleMatrix outcomes, List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> train, List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> test, double split)
static void	InputSplit.splitInputs(List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> pairs, List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> train, List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> test, double split)
static void	InputSplit.splitInputs(List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> pairs, List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> train, List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> test, double split)
static void	InputSplit.splitInputs(List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> pairs, List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> train, List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> test, double split)