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Packages that use AbstractClassifier | |
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de.jstacs.classifier | This package provides the framework for any classifier. |
de.jstacs.classifier.assessment | This package allows to assess classifiers. |
de.jstacs.classifier.modelBased | Provides the classes for Classifier s that are based on Model s |
de.jstacs.classifier.scoringFunctionBased | Provides the classes for Classifier s that are based on ScoringFunction s. |
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 |
de.jstacs.models.discrete.inhomogeneous.shared |
Uses of AbstractClassifier in de.jstacs.classifier |
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Subclasses of AbstractClassifier in de.jstacs.classifier | |
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class |
AbstractScoreBasedClassifier
This class is the main class for all score based classifiers. |
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.classifier that return AbstractClassifier | |
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AbstractClassifier |
AbstractClassifier.clone()
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Uses of AbstractClassifier in de.jstacs.classifier.assessment |
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Fields in de.jstacs.classifier.assessment declared as AbstractClassifier | |
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protected AbstractClassifier[] |
ClassifierAssessment.myAbstractClassifier
This array contains the internal used classifiers. |
Methods in de.jstacs.classifier.assessment that return AbstractClassifier | |
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AbstractClassifier[] |
ClassifierAssessment.getClassifier()
Returns a deep copy of all classifiers that have been or will be used in this assessment. |
Constructors in de.jstacs.classifier.assessment with parameters of type AbstractClassifier | |
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ClassifierAssessment(AbstractClassifier... aCs)
Creates a new ClassifierAssessment from a set of
AbstractClassifier s. |
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ClassifierAssessment(AbstractClassifier[] aCs,
boolean buildClassifiersByCrossProduct,
Model[]... aMs)
This constructor allows to assess a collection of given AbstractClassifier s and, in addition, classifiers that will be
constructed using the given AbstractModel s. |
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ClassifierAssessment(AbstractClassifier[] aCs,
Model[][] aMs,
boolean buildClassifiersByCrossProduct,
boolean checkAlphabetConsistencyAndLength)
Creates a new ClassifierAssessment from an array of
AbstractClassifier s and a two-dimensional array of Model
s, which are combined to additional classifiers. |
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KFoldCrossValidation(AbstractClassifier... aCs)
Creates a new KFoldCrossValidation from a set of
AbstractClassifier s. |
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KFoldCrossValidation(AbstractClassifier[] aCs,
boolean buildClassifiersByCrossProduct,
Model[]... aMs)
This constructor allows to assess a collection of given AbstractClassifier s and those constructed using the given
AbstractModel s by a KFoldCrossValidation
. |
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KFoldCrossValidation(AbstractClassifier[] aCs,
Model[][] aMs,
boolean buildClassifiersByCrossProduct,
boolean checkAlphabetConsistencyAndLength)
Creates a new KFoldCrossValidation from an array of
AbstractClassifier s and a two-dimensional array of Model
s, which are combined to additional classifiers. |
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RepeatedHoldOutExperiment(AbstractClassifier... aCs)
Creates a new RepeatedHoldOutExperiment from a set of
AbstractClassifier s. |
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RepeatedHoldOutExperiment(AbstractClassifier[] aCs,
boolean buildClassifiersByCrossProduct,
Model[]... aMs)
This constructor allows to assess a collection of given AbstractClassifier s and those constructed using the given
AbstractModel s by a
RepeatedHoldOutExperiment . |
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RepeatedHoldOutExperiment(AbstractClassifier[] aCs,
Model[][] aMs,
boolean buildClassifiersByCrossProduct,
boolean checkAlphabetConsistencyAndLength)
Creates a new RepeatedHoldOutExperiment from an array of
AbstractClassifier s and a two-dimensional array of Model
s, which are combined to additional classifiers. |
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RepeatedSubSamplingExperiment(AbstractClassifier... aCs)
Creates a new RepeatedSubSamplingExperiment from a set of
AbstractClassifier s. |
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RepeatedSubSamplingExperiment(AbstractClassifier[] aCs,
boolean buildClassifiersByCrossProduct,
Model[]... aMs)
This constructor allows to assess a collection of given AbstractClassifier s and those constructed using the given
AbstractModel s by a
RepeatedSubSamplingExperiment . |
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RepeatedSubSamplingExperiment(AbstractClassifier[] aCs,
Model[][] aMs,
boolean buildClassifiersByCrossProduct,
boolean checkAlphabetConsistencyAndLength)
Creates a new RepeatedSubSamplingExperiment from an array of
AbstractClassifier s and a two-dimensional array of Model
s, which are combined to additional classifiers. |
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Sampled_RepeatedHoldOutExperiment(AbstractClassifier... aCs)
Creates a new Sampled_RepeatedHoldOutExperiment from a set of
AbstractClassifier s. |
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Sampled_RepeatedHoldOutExperiment(AbstractClassifier[] aCs,
boolean buildClassifiersByCrossProduct,
Model[]... aMs)
This constructor allows to assess a collection of given AbstractClassifier s and those constructed using the given
AbstractModel s by a
Sampled_RepeatedHoldOutExperiment . |
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Sampled_RepeatedHoldOutExperiment(AbstractClassifier[] aCs,
Model[][] aMs,
boolean buildClassifiersByCrossProduct,
boolean checkAlphabetConsistencyAndLength)
Creates a new Sampled_RepeatedHoldOutExperiment from an array of
AbstractClassifier s and a two-dimensional array of Model
s, which are combined to additional classifiers. |
Uses of AbstractClassifier in de.jstacs.classifier.modelBased |
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Subclasses of AbstractClassifier in de.jstacs.classifier.modelBased | |
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class |
ModelBasedClassifier
This class is the main class for all model based classifiers. |
Uses of AbstractClassifier in de.jstacs.classifier.scoringFunctionBased |
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Subclasses of AbstractClassifier in de.jstacs.classifier.scoringFunctionBased | |
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class |
ScoreClassifier
This abstract class implements the main functionality of a ScoringFunction based classifier. |
Uses of AbstractClassifier in de.jstacs.classifier.scoringFunctionBased.cll |
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Subclasses of AbstractClassifier in de.jstacs.classifier.scoringFunctionBased.cll | |
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class |
CLLClassifier
This class implements the conditional log likelihood (CLL) classifier. |
Uses of AbstractClassifier in de.jstacs.models.discrete.inhomogeneous.shared |
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Subclasses of AbstractClassifier in de.jstacs.models.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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