Uses of Class
jsat.distributions.Distribution

Packages that use Distribution

Package	Description
jsat.classifiers.boosting
jsat.classifiers.knn
jsat.classifiers.linear
jsat.classifiers.linear.kernelized
jsat.classifiers.neuralnetwork
jsat.classifiers.svm
jsat.classifiers.svm.extended
jsat.datatransform
jsat.datatransform.kernel
jsat.distributions
jsat.distributions.discrete
jsat.distributions.empirical
jsat.distributions.kernels
jsat.parameters
jsat.regression

Uses of Distribution in jsat.classifiers.boosting

Methods in jsat.classifiers.boosting that return Distribution

Modifier and Type	Method and Description
static Distribution	EmphasisBoost.guessLambda(DataSet d) Guesses the distribution to use for the λ parameter

Uses of Distribution in jsat.classifiers.knn

Methods in jsat.classifiers.knn that return Distribution

Modifier and Type	Method and Description
static Distribution	DANN.guessK(DataSet d) Guesses the distribution to use for the number of neighbors to consider
static Distribution	DANN.guessKn(DataSet d) Guesses the distribution to use for the number of neighbors to consider
static Distribution	NearestNeighbour.guessNeighbors(DataSet d) Guesses the distribution to use for the number of neighbors to consider
static Distribution	LWL.guessNeighbors(DataSet d) Guesses the distribution to use for the number of neighbors to consider

Uses of Distribution in jsat.classifiers.linear

Methods in jsat.classifiers.linear that return Distribution

Modifier and Type	Method and Description
static Distribution	NewGLMNET.guessAlpha(DataSet d) Guess the distribution to use for the trade off term term (double) α in Elastic Net regularization.
static Distribution	SPA.guessC(DataSet d) Guess the distribution to use for the regularization term C in Support PassiveAggressive.
static Distribution	SCW.guessC(DataSet d) Guess the distribution to use for the regularization term C .
static Distribution	PassiveAggressive.guessC(DataSet d) Guess the distribution to use for the regularization term C in PassiveAggressive.
static Distribution	NHERD.guessC(DataSet d) Guess the distribution to use for the regularization term C .
static Distribution	NewGLMNET.guessC(DataSet d) Guess the distribution to use for the regularization term C in Logistic Regression.
static Distribution	LogisticRegressionDCD.guessC(DataSet d) Guess the distribution to use for the regularization term C in Logistic Regression.
static Distribution	SCW.guessEta(DataSet d) Guess the distribution to use for the regularization term η .
static Distribution	LinearSGD.guessLambda0(DataSet d) Guess the distribution to use for the regularization term λ0 .
static Distribution	LinearBatch.guessLambda0(DataSet d) Guess the distribution to use for the regularization term λ0 .
static Distribution	LinearSGD.guessLambda1(DataSet d) Guess the distribution to use for the regularization term λ1 .
static Distribution	AROW.guessR(DataSet d) Guess the distribution to use for the regularization term r .

Uses of Distribution in jsat.classifiers.linear.kernelized

Methods in jsat.classifiers.linear.kernelized that return Distribution

Modifier and Type	Method and Description
static Distribution	ALMA2K.guessAlpha(DataSet d) Guesses the distribution to use for the α parameter
static Distribution	DUOL.guessC(DataSet d) Guesses the distribution to use for the C parameter
static Distribution	BOGD.guessEta(DataSet d) Guesses the distribution to use for the η parameter
static Distribution	KernelSGD.guessLambda(DataSet d) Guess the distribution to use for the regularization term λ .
static Distribution	BOGD.guessMaxCoeff(DataSet d) Guesses the distribution to use for the MaxCoeff parameter
static Distribution	OSKL.guessR(DataSet d) Guesses the distribution to use for the R parameter
static Distribution	CSKLRBatch.guessR(DataSet d) Guesses the distribution to use for the R parameter
static Distribution	CSKLR.guessR(DataSet d) Guesses the distribution to use for the R parameter
static Distribution	BOGD.guessRegularization(DataSet d) Guesses the distribution to use for the Regularization parameter

Uses of Distribution in jsat.classifiers.neuralnetwork

Methods in jsat.classifiers.neuralnetwork that return Distribution

Modifier and Type	Method and Description
static Distribution	RBFNet.guessAlpha(DataSet data) Guesses the distribution for the RBFNet.setAlpha(double) parameter
static Distribution	RBFNet.guessNumCentroids(DataSet data) Guesses the distribution for the RBFNet.setNumCentroids(int) parameter
static Distribution	RBFNet.guessP(DataSet data) Guesses the distribution for the RBFNet.setP(int) parameter

Uses of Distribution in jsat.classifiers.svm

Methods in jsat.classifiers.svm that return Distribution

Modifier and Type	Method and Description
static Distribution	PlattSMO.guessC(DataSet d) Guess the distribution to use for the regularization term C in a SVM.
static Distribution	LSSVM.guessC(DataSet d) Guess the distribution to use for the regularization term C in a LS-SVM.
static Distribution	DCDs.guessC(DataSet d) Guess the distribution to use for the regularization term C in a SVM.
static Distribution	Pegasos.guessRegularization(DataSet d) Guess the distribution to use for the regularization term Pegasos.setRegularization(double) in Pegasos.

Uses of Distribution in jsat.classifiers.svm.extended

Methods in jsat.classifiers.svm.extended that return Distribution

Modifier and Type	Method and Description
static Distribution	CPM.guessEntropyThreshold(DataSet d) Provides a distribution of reasonable values for the CPM.setEntropyThreshold(double) parameter
static Distribution	OnlineAMM.guessLambda(DataSet d) Guess the distribution to use for the regularization term λ in AMM.
static Distribution	CPM.guessLambda(DataSet d) Provides a distribution of reasonable values for the λ parameter

Uses of Distribution in jsat.datatransform

Methods in jsat.datatransform that return Distribution

Modifier and Type	Method and Description
static Distribution	WhitenedPCA.guessDimensions(DataSet d)
static Distribution	NumericalToHistogram.guessNumberOfBins(DataSet data) Attempts to guess the number of bins to use
static Distribution	JLTransform.guessProjectedDimension(DataSet d)

Uses of Distribution in jsat.datatransform.kernel

Methods in jsat.datatransform.kernel that return Distribution

Modifier and Type	Method and Description
static Distribution	KernelPCA.guessDimensions(DataSet d)
Distribution	RFF_RBF.guessSigma(DataSet d) Guess the distribution to use for the kernel width term σ in the RBF kernel being approximated.

Uses of Distribution in jsat.distributions

Subclasses of Distribution in jsat.distributions

Modifier and Type	Class and Description
class	Beta
class	Cauchy
class	ChiSquared
class	ContinuousDistribution The ContinuousDistribution represents the contract for a continuous in one dimension. Many of the functions of a Continuous Distribution are implemented by default using numerical calculation and integration.
class	Exponential
class	FisherSendor Also known as the F distribution.
class	Gamma
class	Kolmogorov
class	Laplace
class	Levy Implementation of the Levy ContinuousDistribution
class	Logistic
class	LogNormal
class	LogUniform The Log Uniform distribution is such that if X is the distribution, then Y = log(X) is uniformly distributed.
class	MaxwellBoltzmann
class	Normal
class	Pareto
class	Rayleigh
class	StudentT
class	TruncatedDistribution This distribution truncates a given continuous distribution only be valid for values in the range (min, max].
class	Uniform
class	Weibull

Methods in jsat.distributions that return Distribution

Modifier and Type	Method and Description
abstract Distribution	Distribution.clone()

Methods in jsat.distributions with parameters of type Distribution

Modifier and Type	Method and Description
static Function	Distribution.getFunctionCDF(Distribution dist) Wraps the cdf(double) function of the given distribution in a function object for use.

Uses of Distribution in jsat.distributions.discrete

Subclasses of Distribution in jsat.distributions.discrete

Modifier and Type	Class and Description
class	Binomial The Binomial distribution is the distribution for the number of successful, independent, trials with a specific probability of success
class	DiscreteDistribution This abstract class defines the contract for a distribution over the integer values. The DiscreteDistribution.cdf(double) method will behave by rounding down and then calling the integer DiscreteDistribution.cdf(int) counterpart.
class	Poisson The Poisson distribution is for the number of events occurring in a fixed amount of time, where the event has an average rate and all other occurrences are independent.
class	UniformDiscrete The discrete uniform distribution.

Uses of Distribution in jsat.distributions.empirical

Subclasses of Distribution in jsat.distributions.empirical

Modifier and Type	Class and Description
class	KernelDensityEstimator Kernel Density Estimator, KDE, uses the data set itself to approximate the underlying probability distribution using Kernel Functions.

Uses of Distribution in jsat.distributions.kernels

Methods in jsat.distributions.kernels that return Distribution

Modifier and Type	Method and Description
static Distribution	SigmoidKernel.guessAlpha(DataSet d) Guesses a distribution for the α parameter
static Distribution	SigmoidKernel.guessC(DataSet d) Guesses a distribution for the α parameter
static Distribution	RationalQuadraticKernel.guessC(DataSet d) Guess the distribution to use for the C parameter.
static Distribution	PolynomialKernel.guessDegree(DataSet d) Guesses the distribution to use for the degree parameter
static Distribution	PukKernel.guessOmega(DataSet d) Guesses the distribution to use for the ω parameter
static Distribution	RBFKernel.guessSigma(DataSet d) Guess the distribution to use for the kernel width term σ in the RBF kernel.
static Distribution	PukKernel.guessSigma(DataSet d) Guesses the distribution to use for the λ parameter
Distribution	GeneralRBFKernel.guessSigma(DataSet d) Guess the distribution to use for the kernel width term σ in the General RBF kernel.
static Distribution	GeneralRBFKernel.guessSigma(DataSet d, DistanceMetric dist) Guess the distribution to use for the kernel width term σ in the General RBF kernel.

Uses of Distribution in jsat.parameters

Methods in jsat.parameters that return Distribution

Modifier and Type	Method and Description
Distribution	IntParameter.getGuess(DataSet data) This method allows one to obtain a distribution that represents a reasonable "guess" at the range of values that would work for this parameter.
Distribution	DoubleParameter.getGuess(DataSet data) This method allows one to obtain a distribution that represents a reasonable "guess" at the range of values that would work for this parameter.

Methods in jsat.parameters with parameters of type Distribution

Modifier and Type	Method and Description
void	RandomSearch.addParameter(DoubleParameter param, Distribution dist) Adds a new double parameter to be altered for the model being tuned.
void	RandomSearch.addParameter(IntParameter param, Distribution dist) Adds a new double parameter to be altered for the model being tuned.
void	RandomSearch.addParameter(String name, Distribution dist) Adds a new parameter to be altered for the model being tuned.

Uses of Distribution in jsat.regression

Methods in jsat.regression that return Distribution

Modifier and Type	Method and Description
static Distribution	KernelRidgeRegression.guessLambda(DataSet d) Guesses the distribution to use for the λ parameter