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## 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 `Classifier`s that are based on `Model`s
de.jstacs.classifier.scoringFunctionBased | Provides the classes for `Classifier`s that are based on `ScoringFunction`s.
de.jstacs.classifier.scoringFunctionBased.gendismix | Provides an implementation of a classifier that allows to train the parameters of a set of `NormalizableScoringFunction`s 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 `AbstractScoreBasedClassifier`s that are based on `SamplingScoringFunction`s 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 `SamplingScoringFunction`s 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.

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