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