Uses of Class
de.jstacs.classifier.ClassDimensionException

Packages that use ClassDimensionException
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.models.discrete.inhomogeneous.shared   
 

Uses of ClassDimensionException in de.jstacs.classifier
 

Methods in de.jstacs.classifier that throw ClassDimensionException
 void AbstractScoreBasedClassifier.setClassWeights(boolean add, double... weights)
          Sets new class weights.
 ConfusionMatrix AbstractClassifier.test(Sample... testData)
          This method computes the confusion matrix for a given array of test data.
 

Uses of ClassDimensionException in de.jstacs.classifier.assessment
 

Constructors in de.jstacs.classifier.assessment that throw ClassDimensionException
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.
ClassifierAssessment(boolean buildClassifiersByCrossProduct, Model[]... aMs)
          Creates a new ClassifierAssessment from a set of Models.
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.
KFoldCrossValidation(boolean buildClassifiersByCrossProduct, Model[]... aMs)
          Creates a new KFoldCrossValidation from a set of Models.
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.
RepeatedHoldOutExperiment(boolean buildClassifiersByCrossProduct, Model[]... aMs)
          Creates a new RepeatedHoldOutExperiment from a set of Models.
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.
RepeatedSubSamplingExperiment(boolean buildClassifiersByCrossProduct, Model[]... aMs)
          Creates a new RepeatedSubSamplingExperiment from a set of Models.
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.
Sampled_RepeatedHoldOutExperiment(boolean buildClassifiersByCrossProduct, Model[]... aMs)
          Creates a new Sampled_RepeatedHoldOutExperiment from a set of Models.
 

Uses of ClassDimensionException in de.jstacs.classifier.modelBased
 

Constructors in de.jstacs.classifier.modelBased that throw ClassDimensionException
ModelBasedClassifier(boolean cloneModels, Model... models)
          This constructor creates a new instance with the given Models and clones these if necessary.
ModelBasedClassifier(Model... models)
          The default constructor that creates a new instance with the given Models.
 

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

Constructors in de.jstacs.models.discrete.inhomogeneous.shared that throw ClassDimensionException
SharedStructureClassifier(int length, StructureLearner.ModelType model, byte order, StructureLearner.LearningType method, FSDAGModel... models)
          Creates a new SharedStructureClassifier from given FSDAGModels.