38 references to OneVersusAll
Microsoft.ML.AutoML (7)
TrainerExtensions\MultiTrainerExtensions.cs (7)
29return mlContext.MulticlassClassification.Trainers.OneVersusAll(binaryTrainer, labelColumnName: columnInfo.LabelColumnName); 51return mlContext.MulticlassClassification.Trainers.OneVersusAll(binaryTrainer, labelColumnName: columnInfo.LabelColumnName); 94return mlContext.MulticlassClassification.Trainers.OneVersusAll(binaryTrainer, labelColumnName: columnInfo.LabelColumnName); 137return mlContext.MulticlassClassification.Trainers.OneVersusAll(binaryTrainer, labelColumnName: columnInfo.LabelColumnName); 159return mlContext.MulticlassClassification.Trainers.OneVersusAll(binaryTrainer, labelColumnName: columnInfo.LabelColumnName); 181return mlContext.MulticlassClassification.Trainers.OneVersusAll(binaryTrainer, labelColumnName: columnInfo.LabelColumnName); 203return mlContext.MulticlassClassification.Trainers.OneVersusAll(binaryTrainer, labelColumnName: columnInfo.LabelColumnName);
Microsoft.ML.IntegrationTests (2)
Training.cs (2)
458.Append(mlContext.MulticlassClassification.Trainers.OneVersusAll(binaryClassificationTrainer)); 489.Append(mlContext.MulticlassClassification.Trainers.OneVersusAll(binaryClassificationTrainer))
Microsoft.ML.OnnxTransformerTest (1)
DnnImageFeaturizerTest.cs (1)
230var trainer = ML.MulticlassClassification.Trainers.OneVersusAll(ML.BinaryClassification.Trainers.AveragedPerceptron(labelColumnName: "Label", numberOfIterations: 10, featureColumnName: "Features"), labelColumnName: "Label")
Microsoft.ML.PerformanceTests (1)
RffTransform.cs (1)
49.Append(mlContext.MulticlassClassification.Trainers.OneVersusAll(mlContext.BinaryClassification.Trainers.AveragedPerceptron(numberOfIterations: 10)));
Microsoft.ML.Samples (1)
Dynamic\Trainers\MulticlassClassification\OneVersusAll.cs (1)
33.OneVersusAll(
Microsoft.ML.StandardTrainers (1)
Standard\MulticlassClassification\OneVersusAllTrainer.cs (1)
86/// <seealso cref="StandardTrainersCatalog.OneVersusAll{TModel}(MulticlassClassificationCatalog.MulticlassClassificationTrainers, ITrainerEstimator{BinaryPredictionTransformer{TModel}, TModel}, string, bool, IEstimator{ISingleFeaturePredictionTransformer{ICalibrator}}, int, bool)" />
Microsoft.ML.Tests (25)
OnnxConversionTest.cs (16)
1653mlContext.MulticlassClassification.Trainers.OneVersusAll( 1655mlContext.MulticlassClassification.Trainers.OneVersusAll( 1657mlContext.MulticlassClassification.Trainers.OneVersusAll( 1659mlContext.MulticlassClassification.Trainers.OneVersusAll( 1661mlContext.MulticlassClassification.Trainers.OneVersusAll( 1663mlContext.MulticlassClassification.Trainers.OneVersusAll( 1665mlContext.MulticlassClassification.Trainers.OneVersusAll( 1667mlContext.MulticlassClassification.Trainers.OneVersusAll( 1980mlContext.MulticlassClassification.Trainers.OneVersusAll( 1982mlContext.MulticlassClassification.Trainers.OneVersusAll( 1984mlContext.MulticlassClassification.Trainers.OneVersusAll( 1986mlContext.MulticlassClassification.Trainers.OneVersusAll( 1988mlContext.MulticlassClassification.Trainers.OneVersusAll( 1990mlContext.MulticlassClassification.Trainers.OneVersusAll( 1992mlContext.MulticlassClassification.Trainers.OneVersusAll( 1994mlContext.MulticlassClassification.Trainers.OneVersusAll(
Scenarios\Api\Estimators\PredictAndMetadata.cs (1)
116.Append(mlContext.MulticlassClassification.Trainers.OneVersusAll(singleTrainer));
Scenarios\OvaTest.cs (4)
37var pipeline = mlContext.MulticlassClassification.Trainers.OneVersusAll(logReg, useProbabilities: false); 73var pipeline = mlContext.MulticlassClassification.Trainers.OneVersusAll(ap, useProbabilities: false); 106var pipeline = mlContext.MulticlassClassification.Trainers.OneVersusAll( 140var pipeline = mlContext.MulticlassClassification.Trainers.OneVersusAll(
TrainerEstimators\MetalinearEstimators.cs (3)
29var ova = ML.MulticlassClassification.Trainers.OneVersusAll(averagePerceptron, imputeMissingLabelsAsNegative: true, 49pipeline = pipeline.Append(ML.MulticlassClassification.Trainers.OneVersusAll(sdcaTrainer, useProbabilities: false)) 99.Append(ML.MulticlassClassification.Trainers.OneVersusAll(sdcaTrainer))
TrainerEstimators\TreeEstimators.cs (1)
1027var estimator = pipeline.Append(context.MulticlassClassification.Trainers.OneVersusAll(context.BinaryClassification.Trainers.FastTree()));