Uses of Class
de.jstacs.classifiers.AbstractScoreBasedClassifier

Packages that use AbstractScoreBasedClassifier

Package	Description
de.jstacs.classifiers	This package provides the framework for any classifier.
de.jstacs.classifiers.differentiableSequenceScoreBased	Provides the classes for Classifiers that are based on SequenceScores. It includes a sub-package for discriminative objective functions, namely conditional likelihood and supervised posterior, and a separate sub-package for the parameter priors, that can be used for the supervised posterior.
de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix	Provides an implementation of a classifier that allows to train the parameters of a set of DifferentiableStatisticalModels by a unified generative-discriminative learning principle.
de.jstacs.classifiers.differentiableSequenceScoreBased.msp	Provides an implementation of a classifier that allows to train the parameters of a set of DifferentiableStatisticalModels either by maximum supervised posterior (MSP) or by maximum conditional likelihood (MCL).
de.jstacs.classifiers.differentiableSequenceScoreBased.sampling	Provides the classes for AbstractScoreBasedClassifiers that are based on SamplingDifferentiableStatisticalModels and that sample parameters using the Metropolis-Hastings algorithm.
de.jstacs.classifiers.trainSMBased	Provides the classes for Classifiers that are based on TrainableStatisticalModels.
de.jstacs.classifiers.utils	Provides some useful classes for working with classifiers.
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared

Uses of AbstractScoreBasedClassifier in de.jstacs.classifiers

Subclasses of AbstractScoreBasedClassifier in de.jstacs.classifiers

Modifier and Type	Class and Description
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.classifiers that return AbstractScoreBasedClassifier

Modifier and Type	Method and Description
AbstractScoreBasedClassifier	AbstractScoreBasedClassifier.clone()

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

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

Uses of AbstractScoreBasedClassifier in de.jstacs.classifiers.differentiableSequenceScoreBased

Subclasses of AbstractScoreBasedClassifier in de.jstacs.classifiers.differentiableSequenceScoreBased

Modifier and Type	Class and Description
class	ScoreClassifier This abstract class implements the main functionality of a DifferentiableSequenceScore based classifier.

Uses of AbstractScoreBasedClassifier in de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix

Subclasses of AbstractScoreBasedClassifier in de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix

Modifier and Type	Class and Description
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.classifiers.differentiableSequenceScoreBased.msp

Subclasses of AbstractScoreBasedClassifier in de.jstacs.classifiers.differentiableSequenceScoreBased.msp

Modifier and Type	Class and Description
class	MSPClassifier This class implements a classifier that allows the training via MCL or MSP principle.

Uses of AbstractScoreBasedClassifier in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling

Subclasses of AbstractScoreBasedClassifier in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling

Modifier and Type	Class and Description
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 SamplingDifferentiableStatisticalModels by the Metropolis-Hastings algorithm.

Uses of AbstractScoreBasedClassifier in de.jstacs.classifiers.trainSMBased

Subclasses of AbstractScoreBasedClassifier in de.jstacs.classifiers.trainSMBased

Modifier and Type	Class and Description
class	TrainSMBasedClassifier Classifier that works on TrainableStatisticalModels for each of the different classes.

Uses of AbstractScoreBasedClassifier in de.jstacs.classifiers.utils

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

Modifier and Type	Method and Description
static ImageResult	ClassificationVisualizer.getFancyScatterplot(AbstractScoreBasedClassifier cl1, AbstractScoreBasedClassifier cl2, REnvironment e, DataSet... data) Scatters the classification scores of two binary classifiers for given data.
static ImageResult	ClassificationVisualizer.getScatterplot(AbstractScoreBasedClassifier cl1, AbstractScoreBasedClassifier cl2, DataSet class0, DataSet 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, DataSet class0, DataSet 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, DataSet class0, DataSet 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.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared

Subclasses of AbstractScoreBasedClassifier in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared

Modifier and Type	Class and Description
class	SharedStructureClassifier This class enables you to learn the structure on all classes of the classifier together.