10 writes to Feature
Microsoft.ML.FastTree (10)
Dataset\FeatureFlock.cs (4)
317
leafSplitCandidates.FeatureSplitInfo[featureIndex].
Feature
= featureIndex;
469
leafSplitCandidates.FeatureSplitInfo[firstFlockFeature].
Feature
= firstFlockFeature;
681
leafSplitCandidates.FeatureSplitInfo[firstFlockFeature].
Feature
= firstFlockFeature;
903
leafSplitCandidates.FeatureSplitInfo[firstFlockFeature].
Feature
= firstFlockFeature;
Training\TreeLearners\LeastSquaresRegressionTreeLearner.cs (6)
205
newRootSplitInfo.
Feature
= 0;
498
BestSplitInfoPerLeaf[leaf].
Feature
= bestFeature;
792
leafSplitCandidates.FeatureSplitInfo[feature].
Feature
= feature;
1077
FeatureSplitInfo[f].
Feature
= f;
1116
Feature
= -1;
1164
Feature
= buffer.ToInt(ref offset);
7 references to Feature
Microsoft.ML.FastTree (7)
Training\TreeLearners\LeastSquaresRegressionTreeLearner.cs (7)
253
++FeatureUseCount[rootSplitInfo.
Feature
];
274
++FeatureUseCount[bestLeafSplitInfo.
Feature
];
289
int newInteriorNodeIndex = tree.Split(bestLeaf, bestSplitInfo.
Feature
, bestSplitInfo.CategoricalFeatureIndices, bestSplitInfo.CategoricalSplitRange,
317
Partitioning.Split(bestLeaf, TrainData.GetIndexer(bestSplitInfo.
Feature
), bestSplitInfo.Threshold, gtChild);
1137
Feature
.ToByteArray(buffer, ref offset);
1196
int myFeature =
Feature
;
1197
int otherFeature = other.
Feature
;