See: Description
Interface  Description 

ImpurityComputer<T,H extends Histogram<T,H>> 
Interface represents an object that can compute best splitting point using features histograms.

Class  Description 

GiniHistogram 
Class contains implementation of splitting point finding algorithm based on Gini metric (see
https://en.wikipedia.org/wiki/Gini_coefficient) and represents a set of histograms in according to this metric.

GiniHistogramsComputer 
Implementation of
ImpurityHistogramsComputer for classification task. 
ImpurityHistogram 
Helper class for ImpurityHistograms.

ImpurityHistogramsComputer<S extends ImpurityComputer<BootstrappedVector,S>> 
Class containing logic of aggregation impurity statistics within learning dataset.

ImpurityHistogramsComputer.NodeImpurityHistograms<S extends ImpurityComputer<BootstrappedVector,S>> 
Class represents per feature statistics for impurity computing.

MSEHistogram 
Class contains implementation of splitting point finding algorithm based on MSE metric (see https://en.wikipedia.org/wiki/Mean_squared_error)
and represents a set of histograms in according to this metric.

MSEHistogramComputer 
Histogram computer realization for MSE impurity metric.

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