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