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## Package 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

See:
Description

Class Summary
GenDisMixClassifier | This class implements a classifier the optimizes the following function The weights have to sum to 1.
GenDisMixClassifierParameterSet | This class contains the parameters for the `GenDisMixClassifier`.
LogGenDisMixFunction | This class implements the the following function The weights have to sum to 1.
OneSampleLogGenDisMixFunction | This class implements the the following function where is the weight for sequence and class .

Enum Summary
LearningPrinciple | This enum can be used to obtain the weights for well-known optimization tasks.

## Package de.jstacs.classifier.scoringFunctionBased.gendismix Description

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.

See Also:
  `NormalizableScoringFunction`

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