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