Training\TreeLearners\LeastSquaresRegressionTreeLearner.cs (11)
156var ss = histogramPool[i][j] = TrainData.Flocks[j].CreateSufficientStats(HasWeights);
606/// <see cref="HasWeights"/> is <c>false</c></param>
610if (!HasWeights)
637/// <see cref="HasWeights"/> is <c>false</c></param>
643if (!HasWeights)
666_parallelTraining.CacheHistogram(leafSplitCandidates == SmallerChildSplitCandidates, feature, subfeature, histogram, HasWeights);
683HasWeights, GainConfidenceInSquaredStandardDeviations,
690HasWeights, GainConfidenceInSquaredStandardDeviations,
697HasWeights, GainConfidenceInSquaredStandardDeviations,
705HasWeights, GainConfidenceInSquaredStandardDeviations,
745bool hasWeights = HasWeights;