26 references to TrainerInfo
Microsoft.ML.Ensemble (1)
Trainer\EnsembleTrainerBase.cs (1)
102Info = new TrainerInfo(
Microsoft.ML.FastTree (4)
FastTree.cs (2)
129Info = new TrainerInfo(normalization: false, caching: false, calibration: NeedCalibration, supportValid: true, supportTest: true); 151Info = new TrainerInfo(normalization: false, caching: false, calibration: NeedCalibration, supportValid: true, supportTest: true);
GamTrainer.cs (2)
189Info = new TrainerInfo(normalization: false, calibration: NeedCalibration, caching: false, supportValid: true); 213Info = new TrainerInfo(normalization: false, calibration: NeedCalibration, caching: false, supportValid: true);
Microsoft.ML.KMeansClustering (1)
KMeansPlusPlusTrainer.cs (1)
194Info = new TrainerInfo();
Microsoft.ML.LightGbm (1)
LightGbmTrainerBase.cs (1)
338private static readonly TrainerInfo _info = new TrainerInfo(normalization: false, caching: false, supportValid: true);
Microsoft.ML.Mkl.Components (2)
OlsLinearRegression.cs (1)
113private static readonly TrainerInfo _info = new TrainerInfo(caching: false);
SymSgdClassificationTrainer.cs (1)
248Info = new TrainerInfo(supportIncrementalTrain: true);
Microsoft.ML.PCA (1)
PcaTrainer.cs (1)
130private static readonly TrainerInfo _info = new TrainerInfo(caching: false);
Microsoft.ML.Recommender (2)
MatrixFactorizationTrainer.cs (2)
370_info = new TrainerInfo(normalization: false, caching: false); 412_info = new TrainerInfo(normalization: false, caching: false);
Microsoft.ML.StandardTrainers (13)
FactorizationMachine\FactorizationMachineTrainer.cs (1)
203private static readonly TrainerInfo _info = new TrainerInfo(normalization: false, supportValid: true, supportIncrementalTrain: true);
LdSvm\LdSvmTrainer.cs (1)
175private static readonly TrainerInfo _info = new TrainerInfo(calibration: true, caching: false);
Standard\LogisticRegression\LbfgsPredictorBase.cs (1)
201private static readonly TrainerInfo _info = new TrainerInfo(caching: true, supportIncrementalTrain: true);
Standard\MulticlassClassification\MetaMulticlassTrainer.cs (1)
81Info = new TrainerInfo(normalization: Trainer.Info.NeedNormalization);
Standard\MulticlassClassification\MulticlassNaiveBayesTrainer.cs (1)
80private static readonly TrainerInfo _info = new TrainerInfo(normalization: false, caching: false);
Standard\Online\OnlineLinear.cs (1)
271Info = new TrainerInfo(calibration: NeedCalibration, supportIncrementalTrain: true);
Standard\SdcaBinary.cs (5)
54private static readonly TrainerInfo _info = new TrainerInfo(); 1508Info = new TrainerInfo(calibration: false); 1518Info = new TrainerInfo(calibration: doCalibration); 1988Info = new TrainerInfo(calibration: false, supportIncrementalTrain: true); 2003Info = new TrainerInfo(calibration: doCalibration, supportIncrementalTrain: true);
Standard\Simple\SimpleTrainers.cs (1)
211private static readonly TrainerInfo _info = new TrainerInfo(normalization: false, caching: false);
Standard\StochasticTrainerBase.cs (1)
27private static readonly TrainerInfo _info = new TrainerInfo();
Microsoft.ML.Vision (1)
ImageClassificationTrainer.cs (1)
462private static readonly TrainerInfo _info = new TrainerInfo(normalization: false, caching: false);