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

Packages that use DataSet.PartitionMethod

Package	Description
de.jstacs.classifiers.assessment	This package allows to assess classifiers. It contains the class ClassifierAssessment that is used as a super-class of all implemented methodologies of an assessment to assess classifiers.
de.jstacs.data	Provides classes for the representation of data. The base classes to represent data are Alphabet and AlphabetContainer for representing alphabets, Sequence and its sub-classes to represent continuous and discrete sequences, and DataSet to represent data sets comprising a set of sequences.

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

Methods in de.jstacs.classifiers.assessment that return DataSet.PartitionMethod

Modifier and Type	Method and Description
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

Constructor and Description
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

Modifier and Type	Method and Description
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

Modifier and Type	Method and Description
DataSet[]	DataSet.partition(DataSet.PartitionMethod method, double... percentage) This method partitions the elements, i.e.
DataSet[]	DataSet.partition(DataSet.PartitionMethod method, int k) This method partitions the elements, i.e.
Pair<DataSet[],double[][]>	DataSet.partition(double[] sequenceWeights, DataSet.PartitionMethod method, double... percentage) This method partitions the elements, i.e.
Pair<DataSet[],double[][]>	DataSet.partition(double[] sequenceWeights, DataSet.PartitionMethod method, int k) This method partitions the elements, i.e.