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 Models
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.