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()
           
 Sample.PartitionMethod RepeatedHoldOutAssessParameterSet.getDataSplitMethod()
           
 Sample.PartitionMethod KFoldCVAssessParameterSet.getDataSplitMethod()
           
 

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

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're declared.
 

Methods in de.jstacs.data with parameters of type Sample.PartitionMethod
 Sample[] Sample.partition(double p, Sample.PartitionMethod method, int subsequenceLength)
          This method partitions the elements of the sample in 2 distinct parts.
 Sample[] Sample.partition(int k, Sample.PartitionMethod method)
          This method partitions the elements of the sample in k distinct parts.
 Sample[] Sample.partition(Sample.PartitionMethod method, double... percentage)
          This method partitions the elements of the sample in distinct parts.