2 types derived from RegressionTreeBase
Microsoft.ML.FastTree (2)
RegressionTree.cs (2)
179public sealed class RegressionTree : RegressionTreeBase 191public sealed class QuantileRegressionTree : RegressionTreeBase
18 references to RegressionTreeBase
Microsoft.ML.FastTree (15)
RegressionTree.cs (3)
19/// <see cref="RegressionTreeBase"/> is an immutable wrapper over <see cref="_tree"/> for exposing some tree's 176/// <see cref="RegressionTree"/> is identical to <see cref="RegressionTreeBase"/> but in 187/// things inherited from <see cref="RegressionTreeBase"/>, we add <see cref="GetLeafSamplesAt(int)"/>
TreeEnsemble.cs (4)
11/// A list of <see cref="RegressionTreeBase"/>'s derived class. To compute the output value of a 15public abstract class TreeEnsemble<T> where T : RegressionTreeBase 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"/>.
Utils\RegressionTreeBaseUtils.cs (8)
23public static IDataView RegressionTreeEnsembleAsIDataView(IHost host, double bias, IReadOnlyList<double> treeWeights, IReadOnlyList<RegressionTreeBase> trees) 103builder.AddColumn(nameof(RegressionTreeBase.LeftChild), NumberDataViewType.Int32, leftChild.ToArray()); 104builder.AddColumn(nameof(RegressionTreeBase.RightChild), NumberDataViewType.Int32, rightChild.ToArray()); 105builder.AddColumn(nameof(RegressionTreeBase.NumericalSplitFeatureIndexes), NumberDataViewType.Int32, numericalSplitFeatureIndexes.ToArray()); 106builder.AddColumn(nameof(RegressionTreeBase.NumericalSplitThresholds), NumberDataViewType.Single, numericalSplitThresholds.ToArray()); 107builder.AddColumn(nameof(RegressionTreeBase.CategoricalSplitFlags), BooleanDataViewType.Instance, categoricalSplitFlags.ToArray()); 108builder.AddColumn(nameof(RegressionTreeBase.LeafValues), NumberDataViewType.Double, leafValues.ToArray()); 109builder.AddColumn(nameof(RegressionTreeBase.SplitGains), NumberDataViewType.Double, splitGains.ToArray());
Microsoft.ML.Tests (3)
TrainerEstimators\TreeEstimators.cs (3)
863private static void CheckSummaryRowTreeNode(SummaryDataRow row, int treeIndex, double bias, double treeWeight, RegressionTreeBase tree, int nodeId) 886private static void CheckSummaryRowLeafNode(SummaryDataRow row, int treeIndex, double bias, double treeWeight, RegressionTreeBase tree, int nodeId) 915private void CheckSummary(ICanGetSummaryAsIDataView modelParameters, double bias, IReadOnlyList<double> treeWeights, IReadOnlyList<RegressionTreeBase> trees)