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