Package | Description |
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org.apache.ignite.ml.tree.randomforest.data.impurity |
Contains implementation of impurity computers based on histograms.
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Modifier and Type | Method and Description |
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protected Optional<NodeSplit> |
ImpurityHistogram.checkAndReturnSplitValue(int bestBucketId,
double bestSplitVal,
double bestGain,
double impurity)
Checks split value validity and return Optional-wrap of it.
|
Optional<NodeSplit> |
MSEHistogram.findBestSplit()
Returns best split point computed on histogram if it exists.
|
Optional<NodeSplit> |
GiniHistogram.findBestSplit()
Returns best split point computed on histogram if it exists.
|
Optional<NodeSplit> |
ImpurityComputer.findBestSplit()
Returns best split point computed on histogram if it exists.
|
Optional<NodeSplit> |
ImpurityHistogramsComputer.NodeImpurityHistograms.findBestSplit()
Find best split point, based on feature statistics.
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GridGain In-Memory Computing Platform : ver. 8.9.14 Release Date : November 5 2024