1 type derived from LeastSquaresRegressionTreeLearner
Microsoft.ML.FastTree (1)
Training\TreeLearners\FastForestLeastSquaresTreeLearner.cs (1)
10internal class RandomForestLeastSquaresTreeLearner : LeastSquaresRegressionTreeLearner
1 instantiation of LeastSquaresRegressionTreeLearner
Microsoft.ML.FastTree (1)
BoostingFastTree.cs (1)
65return new LeastSquaresRegressionTreeLearner(
21 references to LeastSquaresRegressionTreeLearner
Microsoft.ML.FastTree (19)
Dataset\FeatureFlock.cs (11)
24/// are then used in <see cref="LeastSquaresRegressionTreeLearner"/> to find splitting on which bin will yield the 61/// <see cref="LeastSquaresRegressionTreeLearner"/> to indicate whether a particular 193public void FillSplitCandidates(LeastSquaresRegressionTreeLearner learner, LeastSquaresRegressionTreeLearner.LeafSplitCandidates leafSplitCandidates, 236LeastSquaresRegressionTreeLearner.LeafSplitCandidates leafSplitCandidates, 329public void FillSplitCandidatesCategorical(LeastSquaresRegressionTreeLearner learner, 330LeastSquaresRegressionTreeLearner.LeafSplitCandidates leafSplitCandidates, 510public void FillSplitCandidatesCategoricalLowPopulation(LeastSquaresRegressionTreeLearner learner, 511LeastSquaresRegressionTreeLearner.LeafSplitCandidates leafSplitCandidates, 705public void FillSplitCandidatesCategoricalNeighborBundling(LeastSquaresRegressionTreeLearner learner, 706LeastSquaresRegressionTreeLearner.LeafSplitCandidates leafSplitCandidates,
GamTrainer.cs (3)
22using SplitInfo = LeastSquaresRegressionTreeLearner.SplitInfo; 148private LeastSquaresRegressionTreeLearner.LeafSplitCandidates _leafSplitCandidates; 596_leafSplitCandidates = new LeastSquaresRegressionTreeLearner.LeafSplitCandidates(TrainSet);
Training\OptimizationAlgorithms\ConjugateGradientDescent.cs (1)
52if (TreeLearner is LeastSquaresRegressionTreeLearner)
Training\Parallel\IParallelTraining.cs (2)
11using LeafSplitCandidates = LeastSquaresRegressionTreeLearner.LeafSplitCandidates; 12using SplitInfo = LeastSquaresRegressionTreeLearner.SplitInfo;
Training\Parallel\SingleTrainer.cs (2)
19using LeafSplitCandidates = LeastSquaresRegressionTreeLearner.LeafSplitCandidates; 20using SplitInfo = LeastSquaresRegressionTreeLearner.SplitInfo;
Microsoft.ML.Predictor.Tests (2)
TestParallelFasttreeInterface.cs (2)
19using LeafSplitCandidates = LeastSquaresRegressionTreeLearner.LeafSplitCandidates; 20using SplitInfo = LeastSquaresRegressionTreeLearner.SplitInfo;