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## Uses of Class
de.jstacs.results.NumericalResultSet

Packages that use NumericalResultSet
de.jstacs.classifier | This package provides the framework for any classifier.
de.jstacs.classifier.modelBased | Provides the classes for `Classifier`s that are based on `Model`s
de.jstacs.classifier.scoringFunctionBased | Provides the classes for `Classifier`s that are based on `ScoringFunction`s.
de.jstacs.classifier.scoringFunctionBased.sampling | Provides the classes for `AbstractScoreBasedClassifier`s that are based on `SamplingScoringFunction`s 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

Methods in de.jstacs.classifier.modelBased that return NumericalResultSet
`NumericalResultSet` | `ModelBasedClassifier.getNumericalCharacteristics()`

Uses of NumericalResultSet in de.jstacs.classifier.scoringFunctionBased

Methods in de.jstacs.classifier.scoringFunctionBased that return NumericalResultSet
`NumericalResultSet` | `ScoreClassifier.getNumericalCharacteristics()`

Uses of NumericalResultSet in de.jstacs.classifier.scoringFunctionBased.sampling

Methods in de.jstacs.classifier.scoringFunctionBased.sampling that return NumericalResultSet
`NumericalResultSet` | `SamplingScoreBasedClassifier.getNumericalCharacteristics()`

Uses of NumericalResultSet in de.jstacs.models

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

Methods in de.jstacs.models.mixture that return NumericalResultSet
`NumericalResultSet` | `AbstractMixtureModel.getNumericalCharacteristics()`

Uses of NumericalResultSet in de.jstacs.results

Subclasses of NumericalResultSet in de.jstacs.results
`class` | `MeanResultSet` Class that computes the mean and the standard error of a series of `NumericalResultSet`s.

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 `NumericalResultSet`s to this `MeanResultSet`.

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