Package org.apache.spark.mllib.tree.impurity

Interface Summary

Interface	Description
Impurity	:: Experimental :: Trait for calculating information gain.

Class Summary

Class	Description
Entropy	:: Experimental :: Class for calculating entropy during binary classification.
EntropyAggregator	Class for updating views of a vector of sufficient statistics, in order to compute impurity from a sample.
EntropyCalculator	Stores statistics for one (node, feature, bin) for calculating impurity.
Gini	:: Experimental :: Class for calculating the Gini impurity during binary classification.
GiniAggregator	Class for updating views of a vector of sufficient statistics, in order to compute impurity from a sample.
GiniCalculator	Stores statistics for one (node, feature, bin) for calculating impurity.
Impurities	Factory for Impurity instances.
ImpurityAggregator	Interface for updating views of a vector of sufficient statistics, in order to compute impurity from a sample.
ImpurityCalculator	Stores statistics for one (node, feature, bin) for calculating impurity.
Variance	:: Experimental :: Class for calculating variance during regression
VarianceAggregator	Class for updating views of a vector of sufficient statistics, in order to compute impurity from a sample.
VarianceCalculator	Stores statistics for one (node, feature, bin) for calculating impurity.