1 implementation of CacheHistogram
Microsoft.ML.FastTree (1)
Training\Parallel\SingleTrainer.cs (1)
24void IParallelTraining.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);