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Uses of Range in weka.attributeSelection |
Fields in weka.attributeSelection declared as Range | |
private Range |
Ranker.m_startRange
Holds the start set for the search as a range |
private Range |
BestFirst.m_startRange
holds the start set for the search as a Range |
private Range |
ExhaustiveSearch.m_startRange
the start set as a Range |
private Range |
ForwardSelection.m_startRange
holds the start set for the search as a Range |
private Range |
GeneticSearch.m_startRange
holds the start set for the search as a Range |
private Range |
RandomSearch.m_startRange
holds the start set as a range |
Uses of Range in weka.classifiers |
Methods in weka.classifiers with parameters of type Range | |
protected static java.lang.String |
Evaluation.printClassifications(Classifier classifier,
Instances train,
java.lang.String testFileName,
int classIndex,
Range attributesToOutput)
Prints the predictions for the given dataset into a String variable. |
protected static java.lang.String |
Evaluation.attributeValuesString(Instance instance,
Range attRange)
Builds a string listing the attribute values in a specified range of indices, separated by commas and enclosed in brackets. |
Uses of Range in weka.classifiers.meta |
Fields in weka.classifiers.meta declared as Range | |
protected Range |
TreeBasedMultiClassClassifier.m_Range
The classes that are grouped together at the current node |
Methods in weka.classifiers.meta with parameters of type Range | |
private void |
TreeBasedMultiClassClassifier.generateClassifierForNode(Instances data,
Range classes,
java.util.Random rand,
Classifier classifier,
boolean random,
boolean ordinal)
Generates a classifier for the current node and proceeds recursively |
Uses of Range in weka.clusterers |
Methods in weka.clusterers with parameters of type Range | |
private static java.lang.String |
ClusterEvaluation.printClusterings(Clusterer clusterer,
Instances train,
java.lang.String testFileName,
Range attributesToOutput)
Print the cluster assignments for either the training or the testing data. |
private static java.lang.String |
ClusterEvaluation.attributeValuesString(Instance instance,
Range attRange)
Builds a string listing the attribute values in a specified range of indices, separated by commas and enclosed in brackets. |
Uses of Range in weka.experiment |
Fields in weka.experiment declared as Range | |
protected Range |
PairedTTester.m_DatasetKeyColumnsRange
The range of columns that specify a unique "dataset" (eg: scheme plus configuration) |
protected Range |
PairedTTester.m_ResultsetKeyColumnsRange
The range of columns that specify a unique result set (eg: scheme plus configuration) |
Methods in weka.experiment that return Range | |
Range |
PairedTTester.getResultsetKeyColumns()
Get the value of ResultsetKeyColumns. |
Range |
PairedTTester.getDatasetKeyColumns()
Get the value of DatasetKeyColumns. |
Methods in weka.experiment with parameters of type Range | |
void |
PairedTTester.setResultsetKeyColumns(Range newResultsetKeyColumns)
Set the value of ResultsetKeyColumns. |
void |
PairedTTester.setDatasetKeyColumns(Range newDatasetKeyColumns)
Set the value of DatasetKeyColumns. |
Uses of Range in weka.filters.supervised.attribute |
Fields in weka.filters.supervised.attribute declared as Range | |
protected Range |
Discretize.m_DiscretizeCols
Stores which columns to Discretize |
Uses of Range in weka.filters.unsupervised.attribute |
Fields in weka.filters.unsupervised.attribute declared as Range | |
protected Range |
Copy.m_CopyCols
Stores which columns to copy |
protected Range |
AddCluster.m_IgnoreAttributesRange
Range of attributes to ignore |
protected Range |
ClusterMembership.m_ignoreAttributesRange
Range of attributes to ignore |
private Range |
MakeIndicator.m_ValIndex
The value's index |
protected Range |
Discretize.m_DiscretizeCols
Stores which columns to Discretize |
private Range |
NumericTransform.m_Cols
Stores which columns to transform. |
protected Range |
FirstOrder.m_DeltaCols
Stores which columns to take differences between |
protected Range |
StringToWordVector.m_SelectedRange
Range of columns to convert to word vectors |
protected Range |
Remove.m_SelectCols
Stores which columns to select as a funky range |
protected Range |
AbstractTimeSeries.m_SelectedCols
Stores which columns to copy |
Methods in weka.filters.unsupervised.attribute that return Range | |
Range |
MakeIndicator.getValueRange()
Get the range containing the indicator values. |
Range |
StringToWordVector.getSelectedRange()
Get the value of m_SelectedRange. |
Uses of Range in weka.filters.unsupervised.instance |
Fields in weka.filters.unsupervised.instance declared as Range | |
private Range |
RemoveRange.m_Range
Range of instances provided by user. |
protected Range |
RemoveWithValues.m_Values
Stores which values of nominal attribute are to be used for filtering. |
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