18 references to SdcaLogisticRegression
Microsoft.ML.Samples (6)
Dynamic\Trainers\BinaryClassification\PermutationFeatureImportance.cs (1)
31.SdcaLogisticRegression());
Dynamic\Trainers\BinaryClassification\PermutationFeatureImportanceLoadFromDisk.cs (1)
26.Append(mlContext.BinaryClassification.Trainers.SdcaLogisticRegression()
Dynamic\Trainers\BinaryClassification\SdcaLogisticRegression.cs (1)
36.SdcaLogisticRegression();
Dynamic\Trainers\MulticlassClassification\OneVersusAll.cs (1)
34mlContext.BinaryClassification.Trainers.SdcaLogisticRegression()));
Dynamic\Trainers\MulticlassClassification\PairwiseCoupling.cs (1)
34mlContext.BinaryClassification.Trainers.SdcaLogisticRegression()));
Dynamic\Transforms\CalculateFeatureContributionCalibrated.cs (1)
37.SdcaLogisticRegression();
Microsoft.ML.StandardTrainers (1)
Standard\SdcaBinary.cs (1)
1583/// <seealso cref="StandardTrainersCatalog.SdcaLogisticRegression(BinaryClassificationCatalog.BinaryClassificationTrainers, string, string, string, float?, float?, int?)"/>
Microsoft.ML.Tests (11)
OnnxConversionTest.cs (3)
231mlContext.BinaryClassification.Trainers.SdcaLogisticRegression(), 289ML.BinaryClassification.Trainers.SdcaLogisticRegression(), 1942mlContext.BinaryClassification.Trainers.SdcaLogisticRegression("Label", "MyFeatureVector"),
TrainerEstimators\SdcaTests.cs (1)
75var pipeline = mlContext.BinaryClassification.Trainers.SdcaLogisticRegression(labelColumnName: "Label", featureColumnName: "Features", l2Regularization: 0.001f);
TrainerEstimators\SymSgdClassificationTests.cs (1)
36var initPredictor = ML.BinaryClassification.Trainers.SdcaLogisticRegression().Fit(transformedData);
TrainerEstimators\TreeEnsembleFeaturizerTest.cs (6)
332.Append(ML.BinaryClassification.Trainers.SdcaLogisticRegression("Label", "CombinedFeatures")); 338var naivePipeline = ML.BinaryClassification.Trainers.SdcaLogisticRegression("Label", "Features"); 378.Append(ML.BinaryClassification.Trainers.SdcaLogisticRegression("Label", "CombinedFeatures")); 417.Append(ML.BinaryClassification.Trainers.SdcaLogisticRegression("Label", "CombinedFeatures")); 741.Append(ML.BinaryClassification.Trainers.SdcaLogisticRegression("Label", "CombinedFeatures")); 752.Append(ML.BinaryClassification.Trainers.SdcaLogisticRegression("Label", "CombinedFeatures"));