Package org.apache.ignite.ml.tree.randomforest.data.impurity

Contains implementation of impurity computers based on histograms.

See: Description

Interface Summary

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

Class Summary

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.

Package org.apache.ignite.ml.tree.randomforest.data.impurity Description

Contains implementation of impurity computers based on histograms.