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)
512if (!FieldAwareFactorizationMachineUtils.LoadOneExampleIntoBuffer(featureGetters, featureBuffer, _norm, ref count, 539validLoss = CalculateAvgLoss(ch, validData, _norm, linearWeights, latentWeightsAligned, _latentDimAligned, latentSum, 550return new FieldAwareFactorizationMachineModelParameters(_host, _norm, fieldCount, totalFeatureCount, _latentDim, linearWeights, latentWeightsAligned);