10 references to MulticlassPredictionTransformer
Microsoft.ML.Data (1)
DataLoadSave\TransformerChain.cs (1)
304pred = new MulticlassPredictionTransformer<IPredictorProducing<VBuffer<float>>>(env,
Microsoft.ML.EntryPoints (1)
PermutationFeatureImportance.cs (1)
150var pred = new MulticlassPredictionTransformer<IPredictorProducing<VBuffer<float>>>(
Microsoft.ML.LightGbm (1)
LightGbmMulticlassTrainer.cs (1)
376=> new MulticlassPredictionTransformer<OneVersusAllModelParameters>(Host, model, trainSchema, FeatureColumn.Name, LabelColumn.Name);
Microsoft.ML.StandardTrainers (6)
Standard\LogisticRegression\MulticlassLogisticRegression.cs (1)
384=> new MulticlassPredictionTransformer<MaximumEntropyModelParameters>(Host, model, trainSchema, FeatureColumn.Name, LabelColumn.Name);
Standard\MulticlassClassification\MulticlassNaiveBayesTrainer.cs (1)
130=> new MulticlassPredictionTransformer<NaiveBayesMulticlassModelParameters>(Host, model, trainSchema, FeatureColumn.Name, LabelColumn.Name);
Standard\MulticlassClassification\OneVersusAllTrainer.cs (1)
237return new MulticlassPredictionTransformer<OneVersusAllModelParameters>(Host, OneVersusAllModelParameters.Create(Host, _options.UseProbabilities, predictors), input.Schema, featureColumn, LabelColumn.Name);
Standard\MulticlassClassification\PairwiseCouplingTrainer.cs (1)
220return new MulticlassPredictionTransformer<PairwiseCouplingModelParameters>(Host, new PairwiseCouplingModelParameters(Host, predictors), input.Schema, featureColumn, LabelColumn.Name);
Standard\SdcaMulticlass.cs (2)
566new MulticlassPredictionTransformer<MaximumEntropyModelParameters>(Host, model, trainSchema, FeatureColumn.Name, LabelColumn.Name); 663new MulticlassPredictionTransformer<LinearMulticlassModelParameters>(Host, model, trainSchema, FeatureColumn.Name, LabelColumn.Name);
Microsoft.ML.Vision (1)
ImageClassificationTrainer.cs (1)
651=> new MulticlassPredictionTransformer<ImageClassificationModelParameters>(Host, model, trainSchema,