Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES

## Package 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)

See:
Description

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

## Package de.jstacs.classifiers.differentiableSequenceScoreBased.msp Description

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).

See Also:
  `de.jstacs.sequenceScores.statisticalModels.differentiable`, `de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix`

Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES