21 references to mnistOneClass
Microsoft.ML.IntegrationTests (6)
Evaluation.cs (6)
31TestDatasets.mnistOneClass.fileHasHeader, TestDatasets.mnistOneClass.fileSeparator) 32.Load(TestCommon.GetDataPath(DataDir, TestDatasets.mnistOneClass.trainFilename)); 34TestDatasets.mnistOneClass.fileHasHeader, TestDatasets.mnistOneClass.fileSeparator) 35.Load(TestCommon.GetDataPath(DataDir, TestDatasets.mnistOneClass.testFilename));
Microsoft.ML.Predictor.Tests (6)
TestPredictors.cs (6)
1787Run_TrainTest(TestLearners.PCAAnomalyDefault, TestDatasets.mnistOneClass, extraSettings: new[] { "loader=text{sparse+}" }, digitsOfPrecision: 4); 1788Run_TrainTest(TestLearners.PCAAnomalyNoNorm, TestDatasets.mnistOneClass, extraSettings: new[] { "loader=text{sparse+}" }, digitsOfPrecision: 4); 1806Run_TrainTest(TestLearners.OneClassSvmLinear, TestDatasets.mnistOneClass, extraTag: "LinearKernel"); 1807Run_TrainTest(TestLearners.OneClassSvmPoly, TestDatasets.mnistOneClass, extraTag: "PolynomialKernel"); 1808Run_TrainTest(TestLearners.OneClassSvmRbf, TestDatasets.mnistOneClass, extraTag: "RbfKernel"); 1809Run_TrainTest(TestLearners.OneClassSvmSigmoid, TestDatasets.mnistOneClass, extraTag: "SigmoidKernel");
Microsoft.ML.TensorFlow.Tests (4)
TensorflowTests.cs (4)
666var testData = reader.Load(GetDataPath(TestDatasets.mnistOneClass.testFilename)); 707var testData = reader.Load(GetDataPath(TestDatasets.mnistOneClass.testFilename)); 797var testData = reader.Load(GetDataPath(TestDatasets.mnistOneClass.testFilename)); 890var testData = reader.Load(GetDataPath(TestDatasets.mnistOneClass.testFilename));
Microsoft.ML.TestFramework (1)
TestCommandBase.cs (1)
1838TestDataset dataset = TestDatasets.mnistOneClass;
Microsoft.ML.Tests (4)
AnomalyDetectionTests.cs (3)
28var trainPath = GetDataPath(TestDatasets.mnistOneClass.trainFilename); 29var testPath = GetDataPath(TestDatasets.mnistOneClass.testFilename); 46var trainPath = GetDataPath(TestDatasets.mnistOneClass.trainFilename);
TrainerEstimators\TrainerEstimators.cs (1)
40var data = reader.Load(GetDataPath(TestDatasets.mnistOneClass.trainFilename));