1 write to _parallelTraining
Microsoft.ML.FastTree (1)
Training\TreeLearners\LeastSquaresRegressionTreeLearner.cs (1)
180_parallelTraining = parallelTraining;
12 references to _parallelTraining
Microsoft.ML.FastTree (12)
Training\TreeLearners\LeastSquaresRegressionTreeLearner.cs (12)
181_parallelTraining.InitTreeLearner(TrainData, numLeaves, MaxCategoricalSplitPointsPerNode, ref MinDocsInLeaf); 278_parallelTraining.FinalizeIteration(); 319_parallelTraining.PerformGlobalSplit(bestLeaf, lteChild, gtChild, bestSplitInfo); 321|| !(_parallelTraining is SingleTrainer)); 329_parallelTraining.InitIteration(ref activeFeatures); 376_parallelTraining.FindGlobalBestSplit(SmallerChildSplitCandidates, null, FindBestThresholdFromRawArray, BestSplitInfoPerLeaf); 392_parallelTraining.GetGlobalDataCountInLeaf(lteChild, ref numDocsInLteChild); 393_parallelTraining.GetGlobalDataCountInLeaf(gtChild, ref numDocsInGtChild); 440_parallelTraining.FindGlobalBestSplit(SmallerChildSplitCandidates, LargerChildSplitCandidates, FindBestThresholdFromRawArray, BestSplitInfoPerLeaf); 536if (!ParentHistogramArray[flock].IsSplittable.Any() && _parallelTraining.IsSkipNonSplittableHistogram()) 666_parallelTraining.CacheHistogram(leafSplitCandidates == SmallerChildSplitCandidates, feature, subfeature, histogram, HasWeights); 669if (!_parallelTraining.IsNeedFindLocalBestSplit())