Uses of Interface
moa.classifiers.rules.multilabel.core.splitcriteria.MultiLabelSplitCriterion
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Uses of MultiLabelSplitCriterion in moa.classifiers.multilabel.core.splitcriteria
Classes in moa.classifiers.multilabel.core.splitcriteria that implement MultiLabelSplitCriterion Modifier and Type Class Description class
ICVarianceReduction
class
PCTWeightedICVarianceReduction
class
WeightedICVarianceReduction
Weighted intra cluster variance reduction split criterion -
Uses of MultiLabelSplitCriterion in moa.classifiers.multilabel.trees
Methods in moa.classifiers.multilabel.trees with parameters of type MultiLabelSplitCriterion Modifier and Type Method Description AttributeExpansionSuggestion[]
ISOUPTree.LeafNode. getBestSplitSuggestions(MultiLabelSplitCriterion criterion)
Return the best split suggestions for this node using the given split criteria -
Uses of MultiLabelSplitCriterion in moa.classifiers.rules.multilabel.attributeclassobservers
Methods in moa.classifiers.rules.multilabel.attributeclassobservers with parameters of type MultiLabelSplitCriterion Modifier and Type Method Description AttributeExpansionSuggestion
AttributeStatisticsObserver. getBestEvaluatedSplitSuggestion(MultiLabelSplitCriterion criterion, DoubleVector[] preSplitStatistics, int inputAttributeIndex)
Gets the best split suggestion given a criterion and a class distributionAttributeExpansionSuggestion
MultiLabelBSTree. getBestEvaluatedSplitSuggestion(MultiLabelSplitCriterion criterion, DoubleVector[] preSplitStatistics, int inputAttributeIndex)
AttributeExpansionSuggestion
MultiLabelBSTreeFloat. getBestEvaluatedSplitSuggestion(MultiLabelSplitCriterion criterion, DoubleVector[] preSplitStatistics, int inputAttributeIndex)
AttributeExpansionSuggestion
MultiLabelBSTreePCT. getBestEvaluatedSplitSuggestion(MultiLabelSplitCriterion criterion, DoubleVector[] preSplitStatistics, int inputAttributeIndex)
AttributeExpansionSuggestion
MultiLabelBSTreePCT. getBestEvaluatedSplitSuggestion(MultiLabelSplitCriterion criterion, DoubleVector[] preSplitTargetStatistics, DoubleVector[] preSplitInputStatistics, int inputAttributeIndex)
AttributeExpansionSuggestion
MultiLabelNominalAttributeObserver. getBestEvaluatedSplitSuggestion(MultiLabelSplitCriterion criterion, DoubleVector[] preSplitStatistics, int inputAttributeIndex)
protected AttributeExpansionSuggestion
MultiLabelBSTree. searchForBestSplitOption(MultiLabelBSTree.Node currentNode, AttributeExpansionSuggestion currentBestOption, MultiLabelSplitCriterion criterion, DoubleVector[] preSplitStatistics, int inputAttributeIndex)
protected AttributeExpansionSuggestion
MultiLabelBSTreeFloat. searchForBestSplitOption(MultiLabelBSTreeFloat.Node currentNode, AttributeExpansionSuggestion currentBestOption, MultiLabelSplitCriterion criterion, DoubleVector[] preSplitStatistics, int inputAttributeIndex)
protected AttributeExpansionSuggestion
MultiLabelBSTreePCT. searchForBestSplitOption(MultiLabelBSTreePCT.Node currentNode, AttributeExpansionSuggestion currentBestOption, MultiLabelSplitCriterion criterion, DoubleVector[] preSplitTargetStatistics, DoubleVector[] preSplitInputStatistics, int inputAttributeIndex)
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Uses of MultiLabelSplitCriterion in moa.classifiers.rules.multilabel.core
Fields in moa.classifiers.rules.multilabel.core declared as MultiLabelSplitCriterion Modifier and Type Field Description protected MultiLabelSplitCriterion
LearningLiteral. splitCriterion
Methods in moa.classifiers.rules.multilabel.core with parameters of type MultiLabelSplitCriterion Modifier and Type Method Description void
LearningLiteral. setSplitCriterion(MultiLabelSplitCriterion splitCriterion)
void
MultiLabelRule. setSplitCriterion(MultiLabelSplitCriterion splitCriterion)
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Uses of MultiLabelSplitCriterion in moa.classifiers.rules.multilabel.core.splitcriteria
Classes in moa.classifiers.rules.multilabel.core.splitcriteria that implement MultiLabelSplitCriterion Modifier and Type Class Description class
MultilabelInformationGain
Multi-label Information Gain.class
MultiTargetVarianceRatio
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