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| Packages that use NumericalResultSet | |
|---|---|
| de.jstacs.classifier | This package provides the framework for any classifier. |
| de.jstacs.classifier.modelBased | Provides the classes for Classifiers that are based on Models |
| de.jstacs.classifier.scoringFunctionBased | Provides the classes for Classifiers that are based on ScoringFunctions. |
| de.jstacs.classifier.scoringFunctionBased.sampling | Provides the classes for AbstractScoreBasedClassifiers that are based on SamplingScoringFunctions and that sample parameters
using the Metropolis-Hastings algorithm. |
| de.jstacs.models | Provides the interface Model and its abstract implementation AbstractModel, which is the super class of all other models. |
| de.jstacs.models.discrete.homogeneous | |
| de.jstacs.models.discrete.inhomogeneous | This package contains various inhomogeneous models. |
| de.jstacs.models.hmm.models | The package provides different implementations of hidden Markov models based on AbstractHMM |
| de.jstacs.models.mixture | This package is the super package for any mixture model. |
| de.jstacs.results | This package provides classes for results and sets of results. |
| Uses of NumericalResultSet in de.jstacs.classifier |
|---|
| Methods in de.jstacs.classifier that return NumericalResultSet | |
|---|---|
NumericalResultSet |
AbstractClassifier.evaluate(MeasureParameters params,
boolean exceptionIfNotComputeable,
Sample... s)
This method evaluates the classifier and computes all numerical results as, for instance, the sensitivity for a given specificity, the area under the ROC curve and so on. |
NumericalResultSet |
MappingClassifier.getNumericalCharacteristics()
|
abstract NumericalResultSet |
AbstractClassifier.getNumericalCharacteristics()
Returns the subset of numerical values that are also returned by AbstractClassifier.getCharacteristics(). |
| Uses of NumericalResultSet in de.jstacs.classifier.modelBased |
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| Methods in de.jstacs.classifier.modelBased that return NumericalResultSet | |
|---|---|
NumericalResultSet |
ModelBasedClassifier.getNumericalCharacteristics()
|
| Uses of NumericalResultSet in de.jstacs.classifier.scoringFunctionBased |
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| Methods in de.jstacs.classifier.scoringFunctionBased that return NumericalResultSet | |
|---|---|
NumericalResultSet |
ScoreClassifier.getNumericalCharacteristics()
|
| Uses of NumericalResultSet in de.jstacs.classifier.scoringFunctionBased.sampling |
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| Methods in de.jstacs.classifier.scoringFunctionBased.sampling that return NumericalResultSet | |
|---|---|
NumericalResultSet |
SamplingScoreBasedClassifier.getNumericalCharacteristics()
|
| Uses of NumericalResultSet in de.jstacs.models |
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| Methods in de.jstacs.models that return NumericalResultSet | |
|---|---|
NumericalResultSet |
VariableLengthWrapperModel.getNumericalCharacteristics()
|
NumericalResultSet |
UniformModel.getNumericalCharacteristics()
|
NumericalResultSet |
NormalizableScoringFunctionModel.getNumericalCharacteristics()
|
NumericalResultSet |
Model.getNumericalCharacteristics()
Returns the subset of numerical values that are also returned by Model.getCharacteristics(). |
NumericalResultSet |
CompositeModel.getNumericalCharacteristics()
|
| Uses of NumericalResultSet in de.jstacs.models.discrete.homogeneous |
|---|
| Methods in de.jstacs.models.discrete.homogeneous that return NumericalResultSet | |
|---|---|
NumericalResultSet |
HomogeneousModel.getNumericalCharacteristics()
|
| Uses of NumericalResultSet in de.jstacs.models.discrete.inhomogeneous |
|---|
| Methods in de.jstacs.models.discrete.inhomogeneous that return NumericalResultSet | |
|---|---|
NumericalResultSet |
DAGModel.getNumericalCharacteristics()
|
| Uses of NumericalResultSet in de.jstacs.models.hmm.models |
|---|
| Methods in de.jstacs.models.hmm.models that return NumericalResultSet | |
|---|---|
NumericalResultSet |
HigherOrderHMM.getNumericalCharacteristics()
|
| Uses of NumericalResultSet in de.jstacs.models.mixture |
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| Methods in de.jstacs.models.mixture that return NumericalResultSet | |
|---|---|
NumericalResultSet |
AbstractMixtureModel.getNumericalCharacteristics()
|
| Uses of NumericalResultSet in de.jstacs.results |
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| Subclasses of NumericalResultSet in de.jstacs.results | |
|---|---|
class |
MeanResultSet
Class that computes the mean and the standard error of a series of NumericalResultSets. |
| Methods in de.jstacs.results that return NumericalResultSet | |
|---|---|
NumericalResultSet |
MeanResultSet.getStatistics()
Returns the means and (if possible the) standard errors of the results in this MeanResultSet as a new NumericalResultSet. |
| Methods in de.jstacs.results with parameters of type NumericalResultSet | |
|---|---|
void |
MeanResultSet.addResults(NumericalResultSet... rs)
Adds NumericalResultSets to this MeanResultSet. |
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