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Packages that use AbstractScoreBasedClassifier | |
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de.jstacs.classifiers | This package provides the framework for any classifier. |
de.jstacs.classifiers.differentiableSequenceScoreBased | Provides the classes for Classifier s that are based on SequenceScore s. |
de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix | Provides an implementation of a classifier that allows to train the parameters of a set of
DifferentiableStatisticalModel s by
a unified generative-discriminative learning principle |
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) |
de.jstacs.classifiers.differentiableSequenceScoreBased.sampling | Provides the classes for AbstractScoreBasedClassifier s that are based on
SamplingDifferentiableStatisticalModel s
and that sample parameters using the Metropolis-Hastings algorithm. |
de.jstacs.classifiers.trainSMBased | Provides the classes for Classifier s that are based on TrainableStatisticalModel s |
de.jstacs.classifiers.utils | Provides some useful classes for working with classifiers |
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared |
Uses of AbstractScoreBasedClassifier in de.jstacs.classifiers |
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Subclasses of AbstractScoreBasedClassifier in de.jstacs.classifiers | |
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class |
MappingClassifier
This class allows the user to train the classifier on a given number of classes and to evaluate the classifier on a smaller number of classes by mapping classes together. |
Methods in de.jstacs.classifiers that return AbstractScoreBasedClassifier | |
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AbstractScoreBasedClassifier |
AbstractScoreBasedClassifier.clone()
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Constructors in de.jstacs.classifiers with parameters of type AbstractScoreBasedClassifier | |
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MappingClassifier(AbstractScoreBasedClassifier classifier,
int... mapping)
Creates a new MappingClassifier from a given classifier and a
class mapping. |
Uses of AbstractScoreBasedClassifier in de.jstacs.classifiers.differentiableSequenceScoreBased |
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Subclasses of AbstractScoreBasedClassifier in de.jstacs.classifiers.differentiableSequenceScoreBased | |
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class |
ScoreClassifier
This abstract class implements the main functionality of a DifferentiableSequenceScore based classifier. |
Uses of AbstractScoreBasedClassifier in de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix |
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Subclasses of AbstractScoreBasedClassifier in de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix | |
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class |
GenDisMixClassifier
This class implements a classifier the optimizes the following function ![]() |
Uses of AbstractScoreBasedClassifier in de.jstacs.classifiers.differentiableSequenceScoreBased.msp |
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Subclasses of AbstractScoreBasedClassifier in de.jstacs.classifiers.differentiableSequenceScoreBased.msp | |
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class |
MSPClassifier
This class implements a classifier that allows the training via MCL or MSP principle. |
Uses of AbstractScoreBasedClassifier in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling |
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Subclasses of AbstractScoreBasedClassifier in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling | |
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class |
SamplingGenDisMixClassifier
A classifier that samples its parameters from a LogGenDisMixFunction using the
Metropolis-Hastings algorithm. |
class |
SamplingScoreBasedClassifier
A classifier that samples the parameters of SamplingDifferentiableStatisticalModel s by the Metropolis-Hastings algorithm. |
Uses of AbstractScoreBasedClassifier in de.jstacs.classifiers.trainSMBased |
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Subclasses of AbstractScoreBasedClassifier in de.jstacs.classifiers.trainSMBased | |
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class |
TrainSMBasedClassifier
Classifier that works on TrainableStatisticalModel s for each of the different classes. |
Uses of AbstractScoreBasedClassifier in de.jstacs.classifiers.utils |
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Methods in de.jstacs.classifiers.utils with parameters of type AbstractScoreBasedClassifier | |
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static ImageResult |
ClassificationVisualizer.getScatterplot(AbstractScoreBasedClassifier cl1,
AbstractScoreBasedClassifier cl2,
DataSet class0,
DataSet class1,
REnvironment e,
boolean drawThreshold)
This method returns an ImageResult containing a scatter plot of
the scores for the given classifiers cl1 and
cl2 . |
static ImageResult |
ClassificationVisualizer.plotScores(AbstractScoreBasedClassifier cl,
DataSet class0,
DataSet class1,
REnvironment e,
int bins,
double density,
String plotOptions)
This method returns an ImageResult containing a plot of the
histograms of the scores. |
static void |
ClassificationVisualizer.plotScores(AbstractScoreBasedClassifier cl,
DataSet class0,
DataSet class1,
REnvironment e,
int bins,
double density,
String plotOptions,
String fName)
This method creates a pdf containing a plot of the histograms of the scores. |
Uses of AbstractScoreBasedClassifier in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared |
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Subclasses of AbstractScoreBasedClassifier in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared | |
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class |
SharedStructureClassifier
This class enables you to learn the structure on all classes of the classifier together. |
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