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## Uses of Class
de.jstacs.data.Sample.PartitionMethod

Packages that use Sample.PartitionMethod
de.jstacs.classifier.assessment | This package allows to assess classifiers.
de.jstacs.data | Provides classes for the representation of data.

Uses of Sample.PartitionMethod in de.jstacs.classifier.assessment

Methods in de.jstacs.classifier.assessment that return Sample.PartitionMethod
`Sample.PartitionMethod` | `Sampled_RepeatedHoldOutAssessParameterSet.getDataSplitMethod()` Returns the `Sample.PartitionMethod` defining how the mutually exclusive random-splits of user supplied data are generated.
`Sample.PartitionMethod` | `RepeatedHoldOutAssessParameterSet.getDataSplitMethod()` Returns the `Sample.PartitionMethod` defining how the mutually exclusive random-splits of user supplied data are generated.
`Sample.PartitionMethod` | `KFoldCVAssessParameterSet.getDataSplitMethod()` Returns the `Sample.PartitionMethod` defining how the mutually exclusive random-splits of user supplied data are generated.

Constructors in de.jstacs.classifier.assessment with parameters of type Sample.PartitionMethod
`KFoldCVAssessParameterSet(Sample.PartitionMethod dataSplitMethod, int elementLength, boolean exceptionIfMPNotComputable, int k)` Constructs a new `KFoldCVAssessParameterSet` with given parameter values.
`RepeatedHoldOutAssessParameterSet(Sample.PartitionMethod dataSplitMethod, int elementLength, boolean exceptionIfMPNotComputable, int repeats, double[] percents)` Constructs a new `RepeatedHoldOutAssessParameterSet` with given parameter values.
`Sampled_RepeatedHoldOutAssessParameterSet(Sample.PartitionMethod dataSplitMethod, int elementLength, boolean exceptionIfMPNotComputable, int repeats, int referenceClass, double percentage, boolean sameLength)` Constructs a new `Sampled_RepeatedHoldOutAssessParameterSet` with given parameter values.

Uses of Sample.PartitionMethod in de.jstacs.data

Methods in de.jstacs.data that return Sample.PartitionMethod
`static Sample.PartitionMethod` | `Sample.PartitionMethod.valueOf(String name)` Returns the enum constant of this type with the specified name.
`static Sample.PartitionMethod[]` | `Sample.PartitionMethod.values()` Returns an array containing the constants of this enum type, in the order they are declared.

Methods in de.jstacs.data with parameters of type Sample.PartitionMethod
`Pair<Sample[],double[][]>` | `Sample.partition(double[] sequenceWeights, int k, Sample.PartitionMethod method)` This method partitions the elements, i.e. the `Sequence`s, of the `Sample` and the corresponding weights in `k` distinct parts.
`Pair<Sample[],double[][]>` | `Sample.partition(double[] sequenceWeights, Sample.PartitionMethod method, double... percentage)` This method partitions the elements, i.e. the `Sequence`s, of the `Sample` and the corresponding weights in distinct parts where each part holds the corresponding percentage given in the array `percentage`.
`Sample[]` | `Sample.partition(double p, Sample.PartitionMethod method, int subsequenceLength)` This method partitions the elements, i.e. the `Sequence`s, of the `Sample` in two distinct parts.
`Sample[]` | `Sample.partition(int k, Sample.PartitionMethod method)` This method partitions the elements, i.e. the `Sequence`s, of the `Sample` in `k` distinct parts.
`Sample[]` | `Sample.partition(Sample.PartitionMethod method, double... percentage)` This method partitions the elements, i.e. the `Sequence`s, of the `Sample` in distinct parts where each part holds the corresponding percentage given in the array `percentage`.

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