Interface  Description 

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

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.
