23 references to AveragedPerceptron
Microsoft.ML.Core.Tests (1)
UnitTests\TestEntryPoints.cs (1)
1375
.Append(mlContext.BinaryClassification.Trainers.
AveragedPerceptron
());
Microsoft.ML.OnnxTransformerTest (1)
DnnImageFeaturizerTest.cs (1)
230
var 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 (6)
Dynamic\ModelOperations\OnnxConversion.cs (1)
64
.Append(mlContext.BinaryClassification.Trainers.
AveragedPerceptron
());
Dynamic\Trainers\BinaryClassification\AveragedPerceptron.cs (1)
28
.
AveragedPerceptron
();
Dynamic\Trainers\BinaryClassification\Calibrators\FixedPlatt.cs (1)
29
.
AveragedPerceptron
();
Dynamic\Trainers\BinaryClassification\Calibrators\Isotonic.cs (1)
29
.
AveragedPerceptron
();
Dynamic\Trainers\BinaryClassification\Calibrators\Naive.cs (1)
29
.
AveragedPerceptron
();
Dynamic\Trainers\BinaryClassification\Calibrators\Platt.cs (1)
29
.
AveragedPerceptron
();
Microsoft.ML.StandardTrainers (1)
Standard\Online\AveragedPerceptron.cs (1)
68
/// <seealso cref="StandardTrainersCatalog.
AveragedPerceptron
(BinaryClassificationCatalog.BinaryClassificationTrainers, string, string, IClassificationLoss, float, bool, float, int)" />
Microsoft.ML.Tests (13)
FeatureContributionTests.cs (1)
123
TestFeatureContribution(ML.BinaryClassification.Trainers.
AveragedPerceptron
(), GetSparseDataset(TaskType.BinaryClassification, 100), "AveragePerceptronBinary");
OnnxConversionTest.cs (7)
225
mlContext.BinaryClassification.Trainers.
AveragedPerceptron
(),
283
ML.BinaryClassification.Trainers.
AveragedPerceptron
(),
1654
mlContext.BinaryClassification.Trainers.
AveragedPerceptron
()),
1656
mlContext.BinaryClassification.Trainers.
AveragedPerceptron
(), useProbabilities:false),
1936
mlContext.BinaryClassification.Trainers.
AveragedPerceptron
("Label", "MyFeatureVector"),
1981
mlContext.BinaryClassification.Trainers.
AveragedPerceptron
("Label", "MyFeatureVector")),
1983
mlContext.BinaryClassification.Trainers.
AveragedPerceptron
("Label", "MyFeatureVector"), useProbabilities:false),
Scenarios\Api\Estimators\TrainWithInitialPredictor.cs (1)
41
var secondTrainer = ml.BinaryClassification.Trainers.
AveragedPerceptron
("Label", "Features");
TrainerEstimators\CalibratorEstimators.cs (1)
100
var binaryTrainer = ML.BinaryClassification.Trainers.
AveragedPerceptron
();
Transformers\CountTargetEncodingTests.cs (3)
87
.Append(ML.BinaryClassification.Trainers.
AveragedPerceptron
().WithOnFitDelegate(x => weights = x.Model.Weights));
95
.Append(ML.BinaryClassification.Trainers.
AveragedPerceptron
().WithOnFitDelegate(x => weightsNoNoise = x.Model.Weights));
104
.Append(ML.BinaryClassification.Trainers.
AveragedPerceptron
().WithOnFitDelegate(x => weightsNoNoise2 = x.Model.Weights));