Uses of Class
de.jstacs.classifier.AbstractScoreBasedClassifier

Packages that use AbstractScoreBasedClassifier

de.jstacs.classifier	This package provides the framework for any classifier.
de.jstacs.classifier.modelBased	Provides the classes for Classifiers that are based on Models
de.jstacs.classifier.scoringFunctionBased	Provides the classes for Classifiers that are based on ScoringFunctions.
de.jstacs.classifier.scoringFunctionBased.gendismix	Provides an implementation of a classifier that allows to train the parameters of a set of NormalizableScoringFunctions by a unified generative-discriminative learning principle
de.jstacs.classifier.scoringFunctionBased.msp	Provides an implementation of a classifier that allows to train the parameters of a set of ScoringFunctions either by maximum supervised posterior (MSP) or by maximum conditional likelihood (MCL)
de.jstacs.classifier.scoringFunctionBased.sampling	Provides the classes for AbstractScoreBasedClassifiers that are based on SamplingScoringFunctions and that sample parameters using the Metropolis-Hastings algorithm.
de.jstacs.classifier.utils	Provides some useful classes for working with classifiers
de.jstacs.models.discrete.inhomogeneous.shared

Uses of AbstractScoreBasedClassifier in de.jstacs.classifier

Subclasses of AbstractScoreBasedClassifier in de.jstacs.classifier

class

MappingClassifier This class allows the user to train the classifier on a given number of classes and to evaluate the classifier on a smaller number of classes by mapping classes together.

Methods in de.jstacs.classifier that return AbstractScoreBasedClassifier

AbstractScoreBasedClassifier

AbstractScoreBasedClassifier.clone()

Constructors in de.jstacs.classifier with parameters of type AbstractScoreBasedClassifier

MappingClassifier(AbstractScoreBasedClassifier classifier, int... mapping)
Creates a new MappingClassifier from a given classifier and a class mapping.

Uses of AbstractScoreBasedClassifier in de.jstacs.classifier.modelBased

Subclasses of AbstractScoreBasedClassifier in de.jstacs.classifier.modelBased

class

ModelBasedClassifier This class is the main class for all model based classifiers.

Uses of AbstractScoreBasedClassifier in de.jstacs.classifier.scoringFunctionBased

Subclasses of AbstractScoreBasedClassifier in de.jstacs.classifier.scoringFunctionBased

class

ScoreClassifier This abstract class implements the main functionality of a ScoringFunction based classifier.

Uses of AbstractScoreBasedClassifier in de.jstacs.classifier.scoringFunctionBased.gendismix

Subclasses of AbstractScoreBasedClassifier in de.jstacs.classifier.scoringFunctionBased.gendismix

class

GenDisMixClassifier This class implements a classifier the optimizes the following function The weights have to sum to 1.

Uses of AbstractScoreBasedClassifier in de.jstacs.classifier.scoringFunctionBased.msp

Subclasses of AbstractScoreBasedClassifier in de.jstacs.classifier.scoringFunctionBased.msp

class

MSPClassifier This class implements a classifier that allows the training via MCL or MSP principle.

Uses of AbstractScoreBasedClassifier in de.jstacs.classifier.scoringFunctionBased.sampling

Subclasses of AbstractScoreBasedClassifier in de.jstacs.classifier.scoringFunctionBased.sampling

class	SamplingGenDisMixClassifier A classifier that samples its parameters from a LogGenDisMixFunction using the Metropolis-Hastings algorithm.
class	SamplingScoreBasedClassifier A classifier that samples the parameters of SamplingScoringFunctions by the Metropolis-Hastings algorithm.

Uses of AbstractScoreBasedClassifier in de.jstacs.classifier.utils

Methods in de.jstacs.classifier.utils with parameters of type AbstractScoreBasedClassifier

static ImageResult	ClassificationVisualizer.getScatterplot(AbstractScoreBasedClassifier cl1, AbstractScoreBasedClassifier cl2, Sample class0, Sample class1, REnvironment e, boolean drawThreshold) This method returns an ImageResult containing a scatter plot of the scores for the given classifiers cl1 and cl2.
static ImageResult	ClassificationVisualizer.plotScores(AbstractScoreBasedClassifier cl, Sample class0, Sample class1, REnvironment e, int bins, double density, String plotOptions) This method returns an ImageResult containing a plot of the histograms of the scores.
static void	ClassificationVisualizer.plotScores(AbstractScoreBasedClassifier cl, Sample class0, Sample class1, REnvironment e, int bins, double density, String plotOptions, String fName) This method creates a pdf containing a plot of the histograms of the scores.

Uses of AbstractScoreBasedClassifier in de.jstacs.models.discrete.inhomogeneous.shared

Subclasses of AbstractScoreBasedClassifier in de.jstacs.models.discrete.inhomogeneous.shared

class

SharedStructureClassifier This class enables you to learn the structure on all classes of the classifier together.