Uses of Class
de.jstacs.classifier.AbstractClassifier

Packages that use AbstractClassifier
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 Classifiers that are based on Model
de.jstacs.classifier.scoringFunctionBased Provides the classes for Classifiers that are based on ScoringFunctions. 
de.jstacs.classifier.scoringFunctionBased.gendismix Provides an implementation of a classifier that allows to train the parameters of a set of NormalizableScoringFunctions by a unified generative-discriminative learning principle 
de.jstacs.classifier.scoringFunctionBased.msp 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.models.discrete.inhomogeneous.shared   
 

Uses of AbstractClassifier in de.jstacs.classifier
 

Subclasses of AbstractClassifier in de.jstacs.classifier
 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
 AbstractClassifier AbstractClassifier.clone()
           
 

Uses of AbstractClassifier in de.jstacs.classifier.assessment
 

Fields in de.jstacs.classifier.assessment declared as AbstractClassifier
protected  AbstractClassifier[] ClassifierAssessment.myAbstractClassifier
          This array contains the internal used classifiers.
 

Methods in de.jstacs.classifier.assessment that return AbstractClassifier
 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
ClassifierAssessment(AbstractClassifier... aCs)
          Creates a new ClassifierAssessment from a set of AbstractClassifiers.
ClassifierAssessment(AbstractClassifier[] aCs, boolean buildClassifiersByCrossProduct, Model[]... aMs)
          This constructor allows to assess a collection of given AbstractClassifiers and, in addition, classifiers that will be constructed using the given AbstractModels.
ClassifierAssessment(AbstractClassifier[] aCs, Model[][] aMs, boolean buildClassifiersByCrossProduct, boolean checkAlphabetConsistencyAndLength)
          Creates a new ClassifierAssessment from an array of AbstractClassifiers and a two-dimensional array of Model s, which are combined to additional classifiers.
KFoldCrossValidation(AbstractClassifier... aCs)
          Creates a new KFoldCrossValidation from a set of AbstractClassifiers.
KFoldCrossValidation(AbstractClassifier[] aCs, boolean buildClassifiersByCrossProduct, Model[]... aMs)
          This constructor allows to assess a collection of given AbstractClassifiers and those constructed using the given AbstractModels by a KFoldCrossValidation .
KFoldCrossValidation(AbstractClassifier[] aCs, Model[][] aMs, boolean buildClassifiersByCrossProduct, boolean checkAlphabetConsistencyAndLength)
          Creates a new KFoldCrossValidation from an array of AbstractClassifiers and a two-dimensional array of Model s, which are combined to additional classifiers.
RepeatedHoldOutExperiment(AbstractClassifier... aCs)
          Creates a new RepeatedHoldOutExperiment from a set of AbstractClassifiers.
RepeatedHoldOutExperiment(AbstractClassifier[] aCs, boolean buildClassifiersByCrossProduct, Model[]... aMs)
          This constructor allows to assess a collection of given AbstractClassifiers and those constructed using the given AbstractModels by a RepeatedHoldOutExperiment.
RepeatedHoldOutExperiment(AbstractClassifier[] aCs, Model[][] aMs, boolean buildClassifiersByCrossProduct, boolean checkAlphabetConsistencyAndLength)
          Creates a new RepeatedHoldOutExperiment from an array of AbstractClassifiers and a two-dimensional array of Model s, which are combined to additional classifiers.
RepeatedSubSamplingExperiment(AbstractClassifier... aCs)
          Creates a new RepeatedSubSamplingExperiment from a set of AbstractClassifiers.
RepeatedSubSamplingExperiment(AbstractClassifier[] aCs, boolean buildClassifiersByCrossProduct, Model[]... aMs)
          This constructor allows to assess a collection of given AbstractClassifiers and those constructed using the given AbstractModels by a RepeatedSubSamplingExperiment.
RepeatedSubSamplingExperiment(AbstractClassifier[] aCs, Model[][] aMs, boolean buildClassifiersByCrossProduct, boolean checkAlphabetConsistencyAndLength)
          Creates a new RepeatedSubSamplingExperiment from an array of AbstractClassifiers and a two-dimensional array of Model s, which are combined to additional classifiers.
Sampled_RepeatedHoldOutExperiment(AbstractClassifier... aCs)
          Creates a new Sampled_RepeatedHoldOutExperiment from a set of AbstractClassifiers.
Sampled_RepeatedHoldOutExperiment(AbstractClassifier[] aCs, boolean buildClassifiersByCrossProduct, Model[]... aMs)
          This constructor allows to assess a collection of given AbstractClassifiers and those constructed using the given AbstractModels by a Sampled_RepeatedHoldOutExperiment.
Sampled_RepeatedHoldOutExperiment(AbstractClassifier[] aCs, Model[][] aMs, boolean buildClassifiersByCrossProduct, boolean checkAlphabetConsistencyAndLength)
          Creates a new Sampled_RepeatedHoldOutExperiment from an array of AbstractClassifiers and a two-dimensional array of Model s, which are combined to additional classifiers.
 

Uses of AbstractClassifier in de.jstacs.classifier.modelBased
 

Subclasses of AbstractClassifier in de.jstacs.classifier.modelBased
 class ModelBasedClassifier
          This class is the main class for all model based classifiers.
 

Uses of AbstractClassifier in de.jstacs.classifier.scoringFunctionBased
 

Subclasses of AbstractClassifier in de.jstacs.classifier.scoringFunctionBased
 class ScoreClassifier
          This abstract class implements the main functionality of a ScoringFunction based classifier.
 

Uses of AbstractClassifier in de.jstacs.classifier.scoringFunctionBased.gendismix
 

Subclasses of AbstractClassifier in de.jstacs.classifier.scoringFunctionBased.gendismix
 class GenDisMixClassifier
          This class implements a classifier the optimizes the following function
\[f(\underline{\lambda}|D,C,\underline{\alpha},\underline{\beta})
The weights $\beta_i$ have to sum to 1.
 

Uses of AbstractClassifier in de.jstacs.classifier.scoringFunctionBased.msp
 

Subclasses of AbstractClassifier in de.jstacs.classifier.scoringFunctionBased.msp
 class MSPClassifier
          This class implements a classifier that allows the training via MCL or MSP principle.
 

Uses of AbstractClassifier in de.jstacs.models.discrete.inhomogeneous.shared
 

Subclasses of AbstractClassifier in de.jstacs.models.discrete.inhomogeneous.shared
 class SharedStructureClassifier
          This class enables you to learn the structure on all classes of the classifier together.