4 instantiations of InternalQuantileRegressionTree
Microsoft.ML.FastTree (4)
RandomForestClassification.cs (1)
340InternalQuantileRegressionTree newTree = new InternalQuantileRegressionTree(splitFeatureArrayPerTree, splitGainPerTree, null,
RandomForestRegression.cs (1)
472InternalQuantileRegressionTree newTree = new InternalQuantileRegressionTree(splitFeatureArrayPerTree, splitGainPerTree, null,
Training\TreeLearners\FastForestLeastSquaresTreeLearner.cs (1)
29return new InternalQuantileRegressionTree(NumLeaves);
TreeEnsemble\InternalRegressionTree.cs (1)
430return new InternalQuantileRegressionTree(ctx, usingDefaultValues, categoricalSplits);
10 references to InternalQuantileRegressionTree
Microsoft.ML.FastTree (10)
FastTree.cs (1)
3432var trees = TrainedEnsemble.Trees.Select(tree => new QuantileRegressionTree((InternalQuantileRegressionTree)tree));
RandomForestClassification.cs (1)
340InternalQuantileRegressionTree newTree = new InternalQuantileRegressionTree(splitFeatureArrayPerTree, splitGainPerTree, null,
RandomForestRegression.cs (1)
472InternalQuantileRegressionTree newTree = new InternalQuantileRegressionTree(splitFeatureArrayPerTree, splitGainPerTree, null,
RegressionTree.cs (3)
13/// <see cref="InternalQuantileRegressionTree"/>'s attributes to users. 185/// A container class for exposing <see cref="InternalQuantileRegressionTree"/>'s attributes to users. 236internal QuantileRegressionTree(InternalQuantileRegressionTree tree) : base(tree)
Training\TreeLearners\FastForestLeastSquaresTreeLearner.cs (2)
34var tree = (InternalQuantileRegressionTree)FitTargets(ch, activeFeatures, weightedtargets);
TreeEnsemble\InternalTreeEnsemble.cs (2)
270if (((InternalQuantileRegressionTree)_trees[0]).IsWeightedTargets) 277((InternalQuantileRegressionTree)_trees[h]).LoadSampledLabels(in feat, distribution,