See: Description
Interface | Description |
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ImpurityComputer<T,H extends Histogram<T,H>> |
Interface represents an object that can compute best splitting point using features histograms.
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Class | Description |
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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.
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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.
|
GridGain In-Memory Computing Platform : ver. 8.9.14 Release Date : November 5 2024