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Packages that use Sample.PartitionMethod | |
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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 |
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Methods in de.jstacs.classifier.assessment that return Sample.PartitionMethod | |
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Sample.PartitionMethod |
Sampled_RepeatedHoldOutAssessParameterSet.getDataSplitMethod()
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Sample.PartitionMethod |
RepeatedHoldOutAssessParameterSet.getDataSplitMethod()
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Sample.PartitionMethod |
KFoldCVAssessParameterSet.getDataSplitMethod()
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Constructors in de.jstacs.classifier.assessment with parameters of type Sample.PartitionMethod | |
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KFoldCVAssessParameterSet(Sample.PartitionMethod dataSplitMethod,
int elementLength,
boolean exceptionIfMPNotComputable,
int k)
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RepeatedHoldOutAssessParameterSet(Sample.PartitionMethod dataSplitMethod,
int elementLength,
boolean exceptionIfMPNotComputable,
int repeats,
double[] percents)
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Sampled_RepeatedHoldOutAssessParameterSet(Sample.PartitionMethod dataSplitMethod,
int elementLength,
boolean exceptionIfMPNotComputable,
int repeats,
int referenceClass,
double percentage,
boolean sameLength)
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Uses of Sample.PartitionMethod in de.jstacs.data |
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Methods in de.jstacs.data that return Sample.PartitionMethod | |
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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 | |
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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. |
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