1 write to NumFeatures
Microsoft.ML.StandardTrainers (1)
Standard\LogisticRegression\LbfgsPredictorBase.cs (1)
439data.CheckFeatureFloatVector(out NumFeatures);
6 references to NumFeatures
Microsoft.ML.StandardTrainers (6)
Standard\LogisticRegression\LbfgsPredictorBase.cs (2)
311private protected int WeightCount => ClassCount * NumFeatures; 443if (NumFeatures >= Utils.ArrayMaxSize / ClassCount)
Standard\LogisticRegression\MulticlassLogisticRegression.cs (4)
251for (int c = 0, start = _numClasses; c < _numClasses; c++, start += NumFeatures) 262for (int c = 0, start = _numClasses; c < _numClasses; c++, start += NumFeatures) 287if (pred.InputType.GetVectorSize() != NumFeatures) 305return new MaximumEntropyModelParameters(Host, in CurrentWeights, _numClasses, NumFeatures, _labelNames, _stats);