1 write to OptTol
Microsoft.ML.StandardTrainers (1)
Standard\LogisticRegression\LbfgsPredictorBase.cs (1)
261
OptTol
= LbfgsTrainerOptions.OptimizationTolerance;
4 references to OptTol
Microsoft.ML.StandardTrainers (4)
Standard\LogisticRegression\LbfgsPredictorBase.cs (2)
318
terminationCriterion = new MeanRelativeImprovementCriterion(
OptTol
, 5, MaxIterations);
556
OneDalLbfgs.LogisticRegressionCompute(featuresPtr, labelsPtr, weightsPtr, useSampleWeights, betaPtr, NumGoodRows, nFeatures, ClassCount, L1Weight, L2Weight,
OptTol
, MaxIterations, MemorySize, numThreads);
Standard\LogisticRegression\LogisticRegression.cs (1)
432
terminationCriterion = new MeanImprovementCriterion(
OptTol
, (float)0.25, MaxIterations);
Standard\LogisticRegression\MulticlassLogisticRegression.cs (1)
239
terminationCriterion = new MeanImprovementCriterion(
OptTol
, 0.25f, MaxIterations);