1 reference to SoftArgMax
Microsoft.ML.FastTree (1)
Training\TreeLearners\LeastSquaresRegressionTreeLearner.cs (1)
486
bestFeature = leafSplitCandidates.FeatureSplitInfo.Select(info => info.Gain / SoftmaxTemperature).
SoftArgMax
(Rand);