2 implementations of CacheHistogram
Microsoft.ML.FastTree (1)
Training\Parallel\SingleTrainer.cs (1)
24
void IParallelTraining.
CacheHistogram
(bool isSmallerLeaf, int featureIdx, int subfeature, SufficientStatsBase sufficientStatsBase, bool hasWeights)
Microsoft.ML.Predictor.Tests (1)
TestParallelFasttreeInterface.cs (1)
28
public 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);