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Packages that use ClassDimensionException | |
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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.models.discrete.inhomogeneous.shared |
Uses of ClassDimensionException in de.jstacs.classifier |
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Methods in de.jstacs.classifier that throw ClassDimensionException | |
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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 |
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Constructors in de.jstacs.classifier.assessment that throw ClassDimensionException | |
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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 those 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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ClassifierAssessment(boolean buildClassifiersByCrossProduct,
Model[]... aMs)
Creates a new ClassifierAssessment from a set of Model s. |
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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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KFoldCrossValidation(boolean buildClassifiersByCrossProduct,
Model[]... aMs)
Creates a new KFoldCrossValidation from a set of Model s. |
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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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RepeatedHoldOutExperiment(boolean buildClassifiersByCrossProduct,
Model[]... aMs)
Creates a new RepeatedHoldOutExperiment from a set of Model s. |
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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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RepeatedSubSamplingExperiment(boolean buildClassifiersByCrossProduct,
Model[]... aMs)
Creates a new RepeatedSubSamplingExperiment from a set of Model s. |
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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. |
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Sampled_RepeatedHoldOutExperiment(boolean buildClassifiersByCrossProduct,
Model[]... aMs)
Creates a new Sampled_RepeatedHoldOutExperiment from a set of Model s. |
Uses of ClassDimensionException in de.jstacs.classifier.modelBased |
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Constructors in de.jstacs.classifier.modelBased that throw ClassDimensionException | |
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ModelBasedClassifier(boolean cloneModels,
Model... models)
This constructor creates a new instance with the given models and clones these if necessary. |
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ModelBasedClassifier(Model... models)
The default constructor. |
Uses of ClassDimensionException in de.jstacs.models.discrete.inhomogeneous.shared |
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Constructors in de.jstacs.models.discrete.inhomogeneous.shared that throw ClassDimensionException | |
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SharedStructureClassifier(int length,
StructureLearner.ModelType model,
byte order,
StructureLearner.LearningType method,
FSDAGModel... models)
The main constructor. |
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