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

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

Uses of DataSet.PartitionMethod in de.jstacs.classifiers.assessment

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

Constructors in de.jstacs.classifiers.assessment with parameters of type DataSet.PartitionMethod
`KFoldCrossValidationAssessParameterSet(DataSet.PartitionMethod dataSplitMethod, int elementLength, boolean exceptionIfMPNotComputable, int k)` Constructs a new `KFoldCrossValidationAssessParameterSet` with given parameter values.
`RepeatedHoldOutAssessParameterSet(DataSet.PartitionMethod dataSplitMethod, int elementLength, boolean exceptionIfMPNotComputable, int repeats, double[] percents)` Constructs a new `RepeatedHoldOutAssessParameterSet` with given parameter values.
`Sampled_RepeatedHoldOutAssessParameterSet(DataSet.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 DataSet.PartitionMethod in de.jstacs.data

Methods in de.jstacs.data that return DataSet.PartitionMethod
`static DataSet.PartitionMethod` | `DataSet.PartitionMethod.valueOf(String name)` Returns the enum constant of this type with the specified name.
`static DataSet.PartitionMethod[]` | `DataSet.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 DataSet.PartitionMethod
`DataSet[]` | `DataSet.partition(DataSet.PartitionMethod method, double... percentage)` This method partitions the elements, i.e. the `Sequence`s, of the `DataSet` in distinct parts where each part holds the corresponding percentage given in the array `percentage`.
`Pair<DataSet[],double[][]>` | `DataSet.partition(double[] sequenceWeights, DataSet.PartitionMethod method, double... percentage)` This method partitions the elements, i.e. the `Sequence`s, of the `DataSet` and the corresponding weights in distinct parts where each part holds the corresponding percentage given in the array `percentage`.
`Pair<DataSet[],double[][]>` | `DataSet.partition(double[] sequenceWeights, int k, DataSet.PartitionMethod method)` This method partitions the elements, i.e. the `Sequence`s, of the `DataSet` and the corresponding weights in `k` distinct parts.
`DataSet[]` | `DataSet.partition(double p, DataSet.PartitionMethod method, int subsequenceLength)` This method partitions the elements, i.e. the `Sequence`s, of the `DataSet` in two distinct parts.
`DataSet[]` | `DataSet.partition(int k, DataSet.PartitionMethod method)` This method partitions the elements, i.e. the `Sequence`s, of the `DataSet` in `k` distinct parts.

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