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 Sequences, 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 Sequences, 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 Sequences, 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 Sequences, of the DataSet in two distinct parts.
DataSet[]	DataSet.partition(int k, DataSet.PartitionMethod method) This method partitions the elements, i.e. the Sequences, of the DataSet in k distinct parts.