Uses of Class
weka.classifiers.trees.ht.WeightMass

Packages that use WeightMass

Package	Description
weka.classifiers.trees.ht

Uses of WeightMass in weka.classifiers.trees.ht

Fields in weka.classifiers.trees.ht with type parameters of type WeightMass

Modifier and Type	Field and Description
Map<String,WeightMass>	HNode.m_classDistribution Class distribution at this node
List<Map<String,WeightMass>>	SplitCandidate.m_postSplitClassDistributions list of class distributions resulting from a split - 2 entries in the outer list for numeric splits and n for nominal splits

Method parameters in weka.classifiers.trees.ht with type arguments of type WeightMass

Modifier and Type	Method and Description
abstract SplitCandidate	ConditionalSufficientStats.bestSplit(SplitMetric splitMetric, Map<String,WeightMass> preSplitDist, String attName) Return the best split
SplitCandidate	NominalConditionalSufficientStats.bestSplit(SplitMetric splitMetric, Map<String,WeightMass> preSplitDist, String attName)
SplitCandidate	GaussianConditionalSufficientStats.bestSplit(SplitMetric splitMetric, Map<String,WeightMass> preSplitDist, String attName)
double	GiniSplitMetric.evaluateSplit(Map<String,WeightMass> preDist, List<Map<String,WeightMass>> postDist)
double	GiniSplitMetric.evaluateSplit(Map<String,WeightMass> preDist, List<Map<String,WeightMass>> postDist)
abstract double	SplitMetric.evaluateSplit(Map<String,WeightMass> preDist, List<Map<String,WeightMass>> postDist) Evaluate the merit of a split
abstract double	SplitMetric.evaluateSplit(Map<String,WeightMass> preDist, List<Map<String,WeightMass>> postDist) Evaluate the merit of a split
double	InfoGainSplitMetric.evaluateSplit(Map<String,WeightMass> preDist, List<Map<String,WeightMass>> postDist)
double	InfoGainSplitMetric.evaluateSplit(Map<String,WeightMass> preDist, List<Map<String,WeightMass>> postDist)
double	GiniSplitMetric.getMetricRange(Map<String,WeightMass> preDist)
abstract double	SplitMetric.getMetricRange(Map<String,WeightMass> preDist) Get the range of the splitting metric
double	InfoGainSplitMetric.getMetricRange(Map<String,WeightMass> preDist)
static double	GiniSplitMetric.gini(Map<String,WeightMass> dist) Return the gini metric computed from the supplied distribution
static double	SplitMetric.sum(Map<String,WeightMass> dist) Utility method to return the sum of instance weight in a distribution

Constructor parameters in weka.classifiers.trees.ht with type arguments of type WeightMass

Constructor and Description
HNode(Map<String,WeightMass> classDistrib) Construct a new HNode with the supplied class distribution
InactiveHNode(Map<String,WeightMass> classDistrib) Constructor
SplitCandidate(Split splitTest, List<Map<String,WeightMass>> postSplitDists, double merit) Constructor
SplitNode(Map<String,WeightMass> classDistrib, Split split) Construct a new SplitNode