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## Package de.jstacs.classifier.scoringFunctionBased.cll

Provides the implementation of the log conditional likelihood as an `OptimizableFunction` and a classifier that uses log conditional likelihood or supervised posterior to learn the parameters of a set of `ScoringFunctions`

See:
Description

Class Summary
CLLClassifier | This class implements the conditional log likelihood (CLL) classifier.
CLLClassifierParameterSet | This class contains the parameters for the `CLLClassifier`.
NormConditionalLogLikelihood | This class implements the normalized log conditional likelihood.

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

Provides the implementation of the log conditional likelihood as an `OptimizableFunction` and a classifier that uses log conditional likelihood or supervised posterior to learn the parameters of a set of `ScoringFunctions`.

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