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Classifier
s that are based on SequenceScore
s.
See:
Description
Class Summary | |
---|---|
AbstractMultiThreadedOptimizableFunction | This class enables the user to exploit all CPUs of an computer by using threads. |
AbstractOptimizableFunction | This class extends OptimizableFunction and implements some common
methods. |
DiffSSBasedOptimizableFunction | This abstract class is the basis of all multi-threaded OptimizableFunction s that are based on DifferentiableSequenceScore s. |
OptimizableFunction | This is the main function for the ScoreClassifier . |
ScoreClassifier | This abstract class implements the main functionality of a DifferentiableSequenceScore based classifier. |
ScoreClassifierParameterSet | A set of Parameter s for any
ScoreClassifier . |
Enum Summary | |
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OptimizableFunction.KindOfParameter | This enum defines the kinds of parameters that can be
returned by the method
OptimizableFunction.getParameters(KindOfParameter) . |
Provides the classes for Classifier
s that are based on SequenceScore
s.
It includes a sub-package for discriminative objective functions, namely conditional likelihood and supervised posterior,
and a separate sub-package for the parameter priors, that can be used for the supervised posterior.
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