2 implementations of CacheHistogram
Microsoft.ML.FastTree (1)
Training\Parallel\SingleTrainer.cs (1)
24void IParallelTraining.CacheHistogram(bool isSmallerLeaf, int featureIdx, int subfeature, SufficientStatsBase sufficientStatsBase, bool hasWeights)
Microsoft.ML.Predictor.Tests (1)
TestParallelFasttreeInterface.cs (1)
28public void CacheHistogram(bool isSmallerLeaf, int featureIdx, int subfeature, SufficientStatsBase sufficientStatsBase, bool hasWeights)
3 references to CacheHistogram
Microsoft.ML.FastTree (3)
Training\Parallel\IParallelTraining.cs (2)
41/// 2. interactive with TreeLearner: <see cref="InitIteration" />, <see cref="CacheHistogram" />, <see cref="IsNeedFindLocalBestSplit" />, 46/// Use <see cref="CacheHistogram" />, <see cref="IsNeedFindLocalBestSplit" /> and <see cref="IsSkipNonSplittableHistogram" /> to interactive with Feature histograms.
Training\TreeLearners\LeastSquaresRegressionTreeLearner.cs (1)
666_parallelTraining.CacheHistogram(leafSplitCandidates == SmallerChildSplitCandidates, feature, subfeature, histogram, HasWeights);