1 instantiation of OneVersusAllTrainer
Microsoft.ML.StandardTrainers (1)
StandardTrainersCatalog.cs (1)
765return new OneVersusAllTrainer(env, est, labelColumnName, imputeMissingLabelsAsNegative, GetCalibratorTrainerOrThrow(env, calibrator), maximumCalibrationExampleCount, useProbabilities);
21 references to OneVersusAllTrainer
Microsoft.ML.AutoML (3)
API\MulticlassClassificationExperiment.cs (3)
86/// <see cref="OneVersusAllTrainer"/> using <see cref="FastForestBinaryTrainer"/>. 91/// <see cref="OneVersusAllTrainer"/> using <see cref="FastTreeBinaryTrainer"/>. 106/// <see cref="OneVersusAllTrainer"/> using <see cref="LbfgsLogisticRegressionBinaryTrainer"/>.
Microsoft.ML.StandardTrainers (13)
Standard\MulticlassClassification\OneVersusAllTrainer.cs (11)
25[assembly: LoadableClass(OneVersusAllTrainer.Summary, typeof(OneVersusAllTrainer), typeof(OneVersusAllTrainer.Options), 27OneVersusAllTrainer.UserNameValue, 28OneVersusAllTrainer.LoadNameValue)] 98/// Options passed to <see cref="OneVersusAllTrainer"/> 111/// Constructs a <see cref="OneVersusAllTrainer"/> trainer supplying a <see cref="Options"/>. 122/// Initializes a new instance of <see cref="OneVersusAllTrainer"/>. 242/// Model parameters for <see cref="OneVersusAllTrainer"/>. 318ch.Warning($"{nameof(OneVersusAllTrainer.Options.UseProbabilities)} specified with {nameof(OneVersusAllTrainer.Options.PredictorType)} that can't produce probabilities.");
StandardTrainersCatalog.cs (2)
728/// Create a <see cref="OneVersusAllTrainer"/>, which predicts a multiclass target using one-versus-all strategy with 752public static OneVersusAllTrainer OneVersusAll<TModel>(this MulticlassClassificationCatalog.MulticlassClassificationTrainers catalog,
Microsoft.ML.Tests (5)
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 (1)
29var ova = ML.MulticlassClassification.Trainers.OneVersusAll(averagePerceptron, imputeMissingLabelsAsNegative: true,