2 implementations of Model
Microsoft.ML.Data (2)
Prediction\CalibratorCatalog.cs (1)
208
TICalibrator IPredictionTransformer<TICalibrator>.
Model
=> _calibrator;
Scorers\PredictionTransformer.cs (1)
49
public TModel
Model
{ get; }
17 references to Model
Microsoft.ML.Data (3)
Training\TrainerUtils.cs (1)
449
var model = predictionTransformer.
Model
;
Transforms\ExplainabilityCatalog.cs (2)
43
=> new FeatureContributionCalculatingEstimator(CatalogUtils.GetEnvironment(catalog), predictionTransformer.
Model
, numberOfPositiveContributions, numberOfNegativeContributions, predictionTransformer.FeatureColumnName, normalize);
71
=> new FeatureContributionCalculatingEstimator(CatalogUtils.GetEnvironment(catalog), predictionTransformer.
Model
.SubModel, numberOfPositiveContributions, numberOfNegativeContributions, predictionTransformer.FeatureColumnName, normalize);
Microsoft.ML.Ensemble (2)
OutputCombiners\BaseStacking.cs (1)
147
Meta = trainer.Fit(view).
Model
;
Trainer\EnsembleTrainerBase.cs (1)
159
Trainers[(int)index].Fit(subset.Data.Data).
Model
,
Microsoft.ML.IntegrationTests (2)
ModelFiles.cs (2)
197
Assert.IsAssignableFrom<ISingleFeaturePredictionTransformer<object>>(trans).
Model
).SubModel);
311
var calibratedModelParameters = singleFeaturePredictionTransformer.
Model
as CalibratedModelParametersBase;
Microsoft.ML.StandardTrainers (9)
Standard\MulticlassClassification\OneVersusAllTrainer.cs (5)
158
predictors[i] = TrainOne(ch, Trainer, data, i).
Model
;
175
var calibratedModel = transformer.
Model
as TDistPredictor;
182
calibratedModel = CalibratorUtils.GetCalibratedPredictor(Host, ch, Calibrator, transformer.
Model
, trainedData, Args.MaxCalibrationExamples) as TDistPredictor;
188
return new BinaryPredictionTransformer<TScalarPredictor>(Host, transformer.
Model
, view.Schema, transformer.FeatureColumnName);
233
predictors[i] = TrainOne(ch, Trainer, td, i).
Model
;
Standard\MulticlassClassification\PairwiseCouplingTrainer.cs (4)
138
predModels[i][j] = TrainOne(ch, Trainer, data, i, j).
Model
;
157
var calibratedModel = transformer.
Model
as TDistPredictor;
159
calibratedModel = CalibratorUtils.GetCalibratedPredictor(Host, ch, Calibrator, transformer.
Model
, trainedData, Args.MaxCalibrationExamples) as TDistPredictor;
215
predictors[i][j] = TrainOne(ch, Trainer, td, i, j).
Model
;
Microsoft.ML.Transforms (1)
PermutationFeatureImportance.cs (1)
70
var predictorWithWeights = model.
Model
as IPredictorWithFeatureWeights<Single>;