Uses of Class
de.jstacs.classifier.scoringFunctionBased.logPrior.LogPrior

Packages that use LogPrior

de.jstacs.classifier.scoringFunctionBased.cll	Provides the implementation of the log conditional likelihood as an OptimizableFunction and a classifier that uses log conditional likelihood or supervised posterior to learn the parameters of a set of ScoringFunctions
de.jstacs.classifier.scoringFunctionBased.logPrior	Provides a general definition of a parameter log-prior and a number of implementations of Laplace and Gaussian priors

Uses of LogPrior in de.jstacs.classifier.scoringFunctionBased.cll

Fields in de.jstacs.classifier.scoringFunctionBased.cll declared as LogPrior

protected LogPrior

CLLClassifier.prior The prior that is used in this instance.

Methods in de.jstacs.classifier.scoringFunctionBased.cll with parameters of type LogPrior

static CLLClassifier[]	CLLClassifier.create(CLLClassifierParameterSet params, LogPrior prior, ScoringFunction[]... functions) This method creates an array of CLLClassifiers by using the cross-product of the given ScoringFunctions.
void	CLLClassifier.setPrior(LogPrior prior) This method sets a new prior that should be used for optimization.

Constructors in de.jstacs.classifier.scoringFunctionBased.cll with parameters of type LogPrior

CLLClassifier(CLLClassifierParameterSet params, LogPrior prior, double lastScore, ScoringFunction... score)
This constructor that creates a new CLLClassifier from a given parameter set, a prior and ScoringFunctions for the classes.

CLLClassifier(CLLClassifierParameterSet params, LogPrior prior, ScoringFunction... score)
The default constructor that creates a new CLLClassifier from a given parameter set, a prior and ScoringFunctions for the classes.

NormConditionalLogLikelihood(ScoringFunction[] score, Sample[] data, double[][] weights, LogPrior prior, boolean norm, boolean freeParams)
The constructor creates an instance of the NormConditionalLogLikelihood using the given prior.

Uses of LogPrior in de.jstacs.classifier.scoringFunctionBased.logPrior

Subclasses of LogPrior in de.jstacs.classifier.scoringFunctionBased.logPrior

class	CompositeLogPrior This class implements a composite prior that can be used for NormalizableScoringFunction.
class	DoesNothingLogPrior This class defines a LogPrior that does not penalize any parameter.
class	SeparateGaussianLogPrior Class for a LogPrior that defines a Gaussian prior on the parameters of a set of NormalizableScoringFunctions and a set of class parameters.
class	SeparateLaplaceLogPrior Class for a LogPrior that defines a Laplace prior on the parameters of a set of NormalizableScoringFunctions and a set of class parameters.
class	SeparateLogPrior Abstract class for priors that penalize each parameter value independently and have some variances (and possible means) as hyperparameters.
class	SimpleGaussianSumLogPrior This class implements a prior that is a product of Gaussian distributions with mean 0 and equal variance for each parameter.

Methods in de.jstacs.classifier.scoringFunctionBased.logPrior that return LogPrior

abstract LogPrior	LogPrior.getNewInstance() This method returns an empty new instance of the current prior.
LogPrior	DoesNothingLogPrior.getNewInstance()