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## Package 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)

See:
Description

Class Summary
MSPClassifier | This class implements a classifier that allows the training via MCL or MSP principle.

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

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).

See Also:
  `de.jstacs.scoringFunctions`, `de.jstacs.classifier.scoringFunctionBased.gendismix`

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