1 write to _hist
Microsoft.ML.FastTree (1)
Dataset\SingletonFeatureFlock.cs (1)
117_hist = new FeatureHistogram(_flock._bins, _flock._binUpperBounds.Length, hasWeights);
17 references to _hist
Microsoft.ML.FastTree (17)
Dataset\SingletonFeatureFlock.cs (17)
122_hist.Subtract(other._hist); 133_hist.SumupWeighted(numDocsInLeaf, sumTargets, sumWeights, outputs, weights, docIndices); 138return FeatureHistogram.EstimateMemoryUsedForFeatureHistogram(_hist.NumFeatureValues, 139_hist.SumWeightsByBin != null); 144return _hist.NumFeatureValues - 1; 154if (_hist.SumWeightsByBin != null) 155return new PerBinStats(_hist.SumTargetsByBin[featureIndex], _hist.SumWeightsByBin[featureIndex], _hist.CountByBin[featureIndex]); 157return new PerBinStats(_hist.SumTargetsByBin[featureIndex], 0, _hist.CountByBin[featureIndex]); 162if (_hist.SumWeightsByBin != null) 163return _hist.SumTargetsByBin[featureIndex] / (_hist.SumWeightsByBin[featureIndex] + bias); 165return _hist.SumTargetsByBin[featureIndex] / (_hist.CountByBin[featureIndex] + bias);