1 write to Trainers
Microsoft.ML.AutoML (1)
API\MulticlassClassificationExperiment.cs (1)
45
Trainers
= Enum.GetValues(typeof(MulticlassClassificationTrainer)).OfType<MulticlassClassificationTrainer>().ToList();
15 references to Trainers
Microsoft.ML.AutoML (7)
API\MulticlassClassificationExperiment.cs (7)
137
TrainerExtensionUtil.GetTrainerNames(settings.
Trainers
))
316
var useSdcaMaximumEntrophy = Settings.
Trainers
.Contains(MulticlassClassificationTrainer.SdcaMaximumEntropy);
317
var uselbfgsLR = Settings.
Trainers
.Contains(MulticlassClassificationTrainer.LbfgsLogisticRegressionOva);
318
var uselbfgsME = Settings.
Trainers
.Contains(MulticlassClassificationTrainer.LbfgsMaximumEntropy);
319
var useLgbm = Settings.
Trainers
.Contains(MulticlassClassificationTrainer.LightGbm);
320
var useFastForest = Settings.
Trainers
.Contains(MulticlassClassificationTrainer.FastForestOva);
321
var useFastTree = Settings.
Trainers
.Contains(MulticlassClassificationTrainer.FastTreeOva);
Microsoft.ML.AutoML.Tests (8)
AutoFitTests.cs (8)
280
settings.
Trainers
.Remove(MulticlassClassificationTrainer.LightGbm);
281
settings.
Trainers
.Remove(MulticlassClassificationTrainer.SdcaMaximumEntropy);
282
settings.
Trainers
.Remove(MulticlassClassificationTrainer.LbfgsMaximumEntropy);
283
settings.
Trainers
.Remove(MulticlassClassificationTrainer.LbfgsLogisticRegressionOva);
312
settings.
Trainers
.Remove(MulticlassClassificationTrainer.LightGbm);
313
settings.
Trainers
.Remove(MulticlassClassificationTrainer.SdcaMaximumEntropy);
314
settings.
Trainers
.Remove(MulticlassClassificationTrainer.LbfgsMaximumEntropy);
315
settings.
Trainers
.Remove(MulticlassClassificationTrainer.LbfgsLogisticRegressionOva);