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## Uses of Class
de.jstacs.classifiers.AbstractScoreBasedClassifier

Packages that use AbstractScoreBasedClassifier
de.jstacs.classifiers | This package provides the framework for any classifier.
de.jstacs.classifiers.differentiableSequenceScoreBased | Provides the classes for `Classifier`s that are based on `SequenceScore`s.
de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix | Provides an implementation of a classifier that allows to train the parameters of a set of `DifferentiableStatisticalModel`s 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 `DifferentiableStatisticalModel`s either by maximum supervised posterior (MSP) or by maximum conditional likelihood (MCL)
de.jstacs.classifiers.differentiableSequenceScoreBased.sampling | Provides the classes for `AbstractScoreBasedClassifier`s that are based on `SamplingDifferentiableStatisticalModel`s and that sample parameters using the Metropolis-Hastings algorithm.
de.jstacs.classifiers.trainSMBased | Provides the classes for `Classifier`s that are based on `TrainableStatisticalModel`s
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
`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
`AbstractScoreBasedClassifier` | `AbstractScoreBasedClassifier.clone()`

Constructors in de.jstacs.classifiers 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.classifiers.differentiableSequenceScoreBased

Subclasses of AbstractScoreBasedClassifier in de.jstacs.classifiers.differentiableSequenceScoreBased
`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
`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
`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
`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 `SamplingDifferentiableStatisticalModel`s by the Metropolis-Hastings algorithm.

Uses of AbstractScoreBasedClassifier in de.jstacs.classifiers.trainSMBased

Subclasses of AbstractScoreBasedClassifier in de.jstacs.classifiers.trainSMBased
`class` | `TrainSMBasedClassifier` Classifier that works on `TrainableStatisticalModel`s 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
`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
`class` | `SharedStructureClassifier` This class enables you to learn the structure on all classes of the classifier together.

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