2 writes to TreeLearner
Microsoft.ML.FastTree (2)
BoostingFastTree.cs (1)
96
optimizationAlgorithm.
TreeLearner
= ConstructTreeLearner(ch);
RandomForest.cs (1)
48
optimizationAlgorithm.
TreeLearner
= ConstructTreeLearner(ch);
10 references to TreeLearner
Microsoft.ML.FastTree (10)
FastTree.cs (2)
601
OptimizationAlgorithm.
TreeLearner
.GetSizeOfReservedMemory());
664
OptimizationAlgorithm.
TreeLearner
.Partitioning =
Training\OptimizationAlgorithms\AcceleratedGradientDescent.cs (1)
45
trainingScores.AddScores(tree,
TreeLearner
.Partitioning, 1.0);
Training\OptimizationAlgorithms\ConjugateGradientDescent.cs (1)
52
if (
TreeLearner
is LeastSquaresRegressionTreeLearner)
Training\OptimizationAlgorithms\GradientDescent.cs (3)
98
InternalRegressionTree tree =
TreeLearner
.FitTargets(ch, activeFeatures, AdjustTargetsAndSetWeights(ch));
116
AdjustTreeOutputsOverride.AdjustTreeOutputs(ch, tree,
TreeLearner
.Partitioning, TrainingScores);
118
(ObjectiveFunction as IStepSearch).AdjustTreeOutputs(ch, tree,
TreeLearner
.Partitioning, TrainingScores);
Training\OptimizationAlgorithms\NoOptimizationAlgorithm.cs (1)
35
InternalRegressionTree tree = ((RandomForestLeastSquaresTreeLearner)
TreeLearner
).FitTargets(ch, activeFeatures, weightedTargets,
Training\OptimizationAlgorithms\OptimizationAlgorithm.cs (2)
78
t.AddScores(tree,
TreeLearner
.Partitioning, 1.0);
110
var regularizer = new RecursiveRegressionTree(tree,
TreeLearner
.Partitioning, 0);