20 references to TrainTransformer
Microsoft.ML.Data (1)
Training\TrainerEstimatorBase.cs (1)
77public TTransformer Fit(IDataView input) => TrainTransformer(input);
Microsoft.ML.FastTree (8)
FastTreeClassification.cs (1)
310=> TrainTransformer(trainData, validationData);
FastTreeRanking.cs (1)
483=> TrainTransformer(trainData, validationData);
FastTreeRegression.cs (1)
199=> TrainTransformer(trainData, validationData);
FastTreeTweedie.cs (1)
358=> TrainTransformer(trainData, validationData);
GamClassification.cs (1)
181=> TrainTransformer(trainData, validationData);
GamRegression.cs (1)
133=> TrainTransformer(trainData, validationData);
RandomForestClassification.cs (1)
373=> TrainTransformer(trainData, validationData);
RandomForestRegression.cs (1)
502=> TrainTransformer(trainData, validationData);
Microsoft.ML.LightGbm (4)
LightGbmBinaryTrainer.cs (1)
301=> TrainTransformer(trainData, validationData);
LightGbmMulticlassTrainer.cs (1)
383=> TrainTransformer(trainData, validationData);
LightGbmRankingTrainer.cs (1)
314=> TrainTransformer(trainData, validationData);
LightGbmRegressionTrainer.cs (1)
262=> TrainTransformer(trainData, validationData);
Microsoft.ML.Mkl.Components (1)
SymSgdClassificationTrainer.cs (1)
270=> TrainTransformer(trainData, initPredictor: modelParameters);
Microsoft.ML.StandardTrainers (5)
Standard\LogisticRegression\LogisticRegression.cs (1)
188=> TrainTransformer(trainData, initPredictor: modelParameters);
Standard\LogisticRegression\MulticlassLogisticRegression.cs (1)
391=> TrainTransformer(trainData, initPredictor: modelParameters);
Standard\Online\OnlineLinear.cs (1)
309=> TrainTransformer(trainData, initPredictor: modelParameters);
Standard\PoissonRegression\PoissonRegression.cs (1)
135=> TrainTransformer(trainData, initPredictor: linearModel);
Standard\SdcaBinary.cs (1)
2014=> TrainTransformer(trainData, initPredictor: modelParameters);
Microsoft.ML.Vision (1)
ImageClassificationTrainer.cs (1)
1326IDataView trainData, IDataView validationData) => TrainTransformer(trainData, validationData);