3 writes to Combiner
Microsoft.ML.Ensemble (3)
Trainer\Binary\EnsembleTrainer.cs (1)
72
Combiner
= args.OutputCombiner.CreateComponent(Host);
Trainer\Multiclass\MulticlassDataPartitionEnsembleTrainer.cs (1)
79
Combiner
= args.OutputCombiner.CreateComponent(Host);
Trainer\Regression\RegressionEnsembleTrainer.cs (1)
67
Combiner
= args.OutputCombiner.CreateComponent(Host);
6 references to Combiner
Microsoft.ML.Ensemble (6)
Trainer\Binary\EnsembleTrainer.cs (2)
86
return new EnsembleDistributionModelParameters(Host, PredictionKind, CreateModels<TDistPredictor>(models),
Combiner
);
87
return new EnsembleModelParameters(Host, PredictionKind, CreateModels<TScalarPredictor>(models),
Combiner
);
Trainer\EnsembleTrainerBase.cs (2)
127
var stackingTrainer =
Combiner
as IStackingTrainer<TOutput>;
136
var needMetrics = Args.ShowMetrics ||
Combiner
is IWeightedAverager;
Trainer\Multiclass\MulticlassDataPartitionEnsembleTrainer.cs (1)
92
return new EnsembleMulticlassModelParameters(Host, CreateModels<TVectorPredictor>(models),
Combiner
as IMulticlassOutputCombiner);
Trainer\Regression\RegressionEnsembleTrainer.cs (1)
80
return new EnsembleModelParameters(Host, PredictionKind, CreateModels<TScalarPredictor>(models),
Combiner
);