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## Uses of Package
de.jstacs.classifiers

Packages that use de.jstacs.classifiers
de.jstacs.classifiers | This package provides the framework for any classifier.
de.jstacs.classifiers.assessment | This package allows to assess classifiers.
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 |

Classes in de.jstacs.classifiers used by de.jstacs.classifiers
AbstractClassifier The super class for any classifier.
AbstractScoreBasedClassifier This class is the main class for all score based classifiers.
AbstractScoreBasedClassifier.DoubleTableResult This class is for `Result`s given as a table of `double` s.
ClassDimensionException This class indicates that a classifier is defined for less than 2 classes or is defined over a different number of classes than given (e.g. by an array of `DataSet`s).

Classes in de.jstacs.classifiers used by de.jstacs.classifiers.assessment
AbstractClassifier The super class for any classifier.
ClassDimensionException This class indicates that a classifier is defined for less than 2 classes or is defined over a different number of classes than given (e.g. by an array of `DataSet`s).

Classes in de.jstacs.classifiers used by de.jstacs.classifiers.differentiableSequenceScoreBased
AbstractClassifier The super class for any classifier.
AbstractScoreBasedClassifier This class is the main class for all score based classifiers.

Classes in de.jstacs.classifiers used by de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix
AbstractClassifier The super class for any classifier.
AbstractScoreBasedClassifier This class is the main class for all score based classifiers.

Classes in de.jstacs.classifiers used by de.jstacs.classifiers.differentiableSequenceScoreBased.msp
AbstractClassifier The super class for any classifier.
AbstractScoreBasedClassifier This class is the main class for all score based classifiers.

Classes in de.jstacs.classifiers used by de.jstacs.classifiers.differentiableSequenceScoreBased.sampling
AbstractClassifier The super class for any classifier.
AbstractScoreBasedClassifier This class is the main class for all score based classifiers.

Classes in de.jstacs.classifiers used by de.jstacs.classifiers.trainSMBased
AbstractClassifier The super class for any classifier.
AbstractScoreBasedClassifier This class is the main class for all score based classifiers.
ClassDimensionException This class indicates that a classifier is defined for less than 2 classes or is defined over a different number of classes than given (e.g. by an array of `DataSet`s).

Classes in de.jstacs.classifiers used by de.jstacs.classifiers.utils
AbstractScoreBasedClassifier This class is the main class for all score based classifiers.

Classes in de.jstacs.classifiers used by de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared
AbstractClassifier The super class for any classifier.
AbstractScoreBasedClassifier This class is the main class for all score based classifiers.
ClassDimensionException This class indicates that a classifier is defined for less than 2 classes or is defined over a different number of classes than given (e.g. by an array of `DataSet`s).

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