1 write to Trees
Microsoft.ML.FastTree (1)
TreeEnsemble.cs (1)
36
Trees
= trees.ToList();
21 references to Trees
Microsoft.ML.AutoML (2)
Sweepers\SmacSweeper.cs (1)
331
for (var treeId = 0; treeId < forest.TrainedTreeEnsemble.
Trees
.Count; treeId++)
Tuner\SmacTuner.cs (1)
323
for (var treeId = 0; treeId < forest.TrainedTreeEnsemble.
Trees
.Count; treeId++)
Microsoft.ML.FastTree (7)
FastTree.cs (2)
3395
=> RegressionTreeBaseUtils.RegressionTreeEnsembleAsIDataView(Host, TrainedTreeEnsemble.Bias, TrainedTreeEnsemble.TreeWeights, TrainedTreeEnsemble.
Trees
);
3441
=> RegressionTreeBaseUtils.RegressionTreeEnsembleAsIDataView(Host, TrainedTreeEnsemble.Bias, TrainedTreeEnsemble.TreeWeights, TrainedTreeEnsemble.
Trees
);
TreeEnsemble.cs (5)
12
/// <see cref="TreeEnsemble{T}"/>, we need to compute the output values of all trees in <see cref="
Trees
"/>,
18
/// When doing prediction, this is a value added to the weighted sum of all <see cref="
Trees
"/>' outputs.
23
/// <see cref="TreeWeights"/>[i] is the i-th <see cref="RegressionTreeBase"/>'s weight in <see cref="
Trees
"/>.
28
/// <see cref="
Trees
"/>[i] is the i-th <see cref="RegressionTreeBase"/> in <see cref="
Trees
"/>.
Microsoft.ML.IntegrationTests (5)
IntrospectiveTraining.cs (5)
52
Assert.Equal(3, treeCollection.
Trees
.Count);
55
Assert.All(treeCollection.
Trees
, tree =>
96
Assert.Equal(3, treeCollection.
Trees
.Count);
99
Assert.All(treeCollection.
Trees
, tree =>
114
var finalTree = treeCollection.
Trees
[2];
Microsoft.ML.Tests (7)
TrainerEstimators\TreeEstimators.cs (7)
919
CheckSummary(modelParameters, trainedTreeEnsemble.Bias, trainedTreeEnsemble.TreeWeights, trainedTreeEnsemble.
Trees
);
937
CheckSummary(modelParameters, trainedTreeEnsemble.Bias, trainedTreeEnsemble.TreeWeights, trainedTreeEnsemble.
Trees
);
955
CheckSummary(modelParameters, trainedTreeEnsemble.Bias, trainedTreeEnsemble.TreeWeights, trainedTreeEnsemble.
Trees
);
980
CheckSummary(modelParameters, trainedTreeEnsemble.Bias, trainedTreeEnsemble.TreeWeights, trainedTreeEnsemble.
Trees
);
998
CheckSummary(modelParameters, trainedTreeEnsemble.Bias, trainedTreeEnsemble.TreeWeights, trainedTreeEnsemble.
Trees
);
1016
CheckSummary(modelParameters, trainedTreeEnsemble.Bias, trainedTreeEnsemble.TreeWeights, trainedTreeEnsemble.
Trees
);
1064
CheckSummary(modelParameters, trainedTreeEnsemble.Bias, trainedTreeEnsemble.TreeWeights, trainedTreeEnsemble.
Trees
);