9 references to BinaryClassification
Microsoft.ML.AutoML (2)
API\BinaryClassificationExperiment.cs (2)
335.Append(Context.Auto().BinaryClassification(labelColumnName: columnInformation.LabelColumnName, useSdcaLogisticRegression: useSdca, useFastTree: useFastTree, useLgbm: useLgbm, useLbfgsLogisticRegression: uselbfgs, useFastForest: useFastForest, featureColumnName: Features)); 340.Append(Context.Auto().BinaryClassification(labelColumnName: columnInformation.LabelColumnName, useSdcaLogisticRegression: useSdca, useFastTree: useFastTree, useLgbm: useLgbm, useLbfgsLogisticRegression: uselbfgs, useFastForest: useFastForest, featureColumnName: Features));
Microsoft.ML.AutoML.Samples (1)
AutoMLExperiment.cs (1)
29var pipeline = context.Auto().BinaryClassification(labelColumnName: "Label", featureColumnName: "Features");
Microsoft.ML.AutoML.Tests (5)
AutoMLExperimentTests.cs (3)
223.Append(context.Auto().BinaryClassification(DatasetUtil.UciAdultLabel, "_Features_", useLgbm: false, useSdcaLogisticRegression: false, useLbfgsLogisticRegression: false)); 248.Append(context.Auto().BinaryClassification(DatasetUtil.UciAdultLabel, "_Features_", exampleWeightColumnName: "signedWeight", useLgbm: false, useSdcaLogisticRegression: false, useLbfgsLogisticRegression: false)); 273.Append(context.Auto().BinaryClassification(DatasetUtil.UciAdultLabel, "_Features_", useLgbm: false, useSdcaLogisticRegression: false, useLbfgsLogisticRegression: false));
SweepableExtensionTest.cs (1)
82.Append(context.Auto().BinaryClassification());
TunerTests.cs (1)
461return mapKeyToValue.Append(context.Auto().BinaryClassification());
Microsoft.ML.Fairlearn.Tests (1)
GridSearchTest.cs (1)
97.Append(context.Auto().BinaryClassification(labelColumnName: "y", exampleWeightColumnName: "signedWeight"));