1 write to _norm
Microsoft.ML.StandardTrainers (1)
FactorizationMachine\FactorizationMachineTrainer.cs (1)
291
_norm
= options.NormalizeFeatures;
3 references to _norm
Microsoft.ML.StandardTrainers (3)
FactorizationMachine\FactorizationMachineTrainer.cs (3)
512
if (!FieldAwareFactorizationMachineUtils.LoadOneExampleIntoBuffer(featureGetters, featureBuffer,
_norm
, ref count,
539
validLoss = CalculateAvgLoss(ch, validData,
_norm
, linearWeights, latentWeightsAligned, _latentDimAligned, latentSum,
550
return new FieldAwareFactorizationMachineModelParameters(_host,
_norm
, fieldCount, totalFeatureCount, _latentDim, linearWeights, latentWeightsAligned);