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Packages that use DataSet.PartitionMethod | |
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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 |
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Methods in de.jstacs.classifiers.assessment that return DataSet.PartitionMethod | |
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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 | |
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KFoldCrossValidationAssessParameterSet(DataSet.PartitionMethod dataSplitMethod,
int elementLength,
boolean exceptionIfMPNotComputable,
int k)
Constructs a new KFoldCrossValidationAssessParameterSet with given parameter
values. |
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RepeatedHoldOutAssessParameterSet(DataSet.PartitionMethod dataSplitMethod,
int elementLength,
boolean exceptionIfMPNotComputable,
int repeats,
double[] percents)
Constructs a new RepeatedHoldOutAssessParameterSet with given
parameter values. |
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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 |
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Methods in de.jstacs.data that return DataSet.PartitionMethod | |
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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 | |
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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. |
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