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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. |
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).
de.jstacs.scoringFunctions,
de.jstacs.classifier.scoringFunctionBased.gendismix
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