42 references to DatasetUtils
Microsoft.ML.Samples (16)
Dynamic\DataOperations\Cache.cs (1)
16var data = DatasetUtils.LoadHousingRegressionDataset(mlContext);
Dynamic\ModelOperations\OnnxConversion.cs (1)
40var originalData = Microsoft.ML.SamplesUtils.DatasetUtils
Dynamic\TensorFlow\TextClassification.cs (1)
18string modelLocation = Microsoft.ML.SamplesUtils.DatasetUtils
Dynamic\Trainers\BinaryClassification\Calibrators\FixedPlatt.cs (1)
19var data = Microsoft.ML.SamplesUtils.DatasetUtils
Dynamic\Trainers\BinaryClassification\Calibrators\Isotonic.cs (1)
19var data = Microsoft.ML.SamplesUtils.DatasetUtils
Dynamic\Trainers\BinaryClassification\Calibrators\Naive.cs (1)
19var data = Microsoft.ML.SamplesUtils.DatasetUtils
Dynamic\Trainers\BinaryClassification\Calibrators\Platt.cs (1)
19var data = Microsoft.ML.SamplesUtils.DatasetUtils
Dynamic\Trainers\Regression\LightGbmAdvanced.cs (1)
20var dataView = Microsoft.ML.SamplesUtils.DatasetUtils
Dynamic\Trainers\Regression\LightGbmWithOptionsAdvanced.cs (1)
21var dataView = Microsoft.ML.SamplesUtils.DatasetUtils.LoadHousingRegressionDataset(mlContext);
Dynamic\Trainers\Regression\OrdinaryLeastSquaresAdvanced.cs (1)
20string dataFile = Microsoft.ML.SamplesUtils.DatasetUtils
Dynamic\Trainers\Regression\OrdinaryLeastSquaresWithOptionsAdvanced.cs (1)
21string dataFile = DatasetUtils.GetHousingRegressionDataset();
Dynamic\Transforms\ImageAnalytics\ConvertToGrayScale.cs (1)
23var imagesDataFile = Microsoft.ML.SamplesUtils.DatasetUtils
Dynamic\Transforms\ImageAnalytics\DnnFeaturizeImage.cs (1)
21var imagesDataFile = Microsoft.ML.SamplesUtils.DatasetUtils
Dynamic\Transforms\ImageAnalytics\ExtractPixels.cs (1)
25var imagesDataFile = Microsoft.ML.SamplesUtils.DatasetUtils
Dynamic\Transforms\ImageAnalytics\LoadImages.cs (1)
22var imagesDataFile = Microsoft.ML.SamplesUtils.DatasetUtils
Dynamic\Transforms\ImageAnalytics\ResizeImages.cs (1)
22var imagesDataFile = Microsoft.ML.SamplesUtils.DatasetUtils
Microsoft.ML.Samples.GPU (1)
docs\samples\Microsoft.ML.Samples\Dynamic\TensorFlow\TextClassification.cs (1)
18string modelLocation = Microsoft.ML.SamplesUtils.DatasetUtils
Microsoft.ML.Tests (25)
TrainerEstimators\SdcaTests.cs (8)
60var rawData = SamplesUtils.DatasetUtils.GenerateBinaryLabelFloatFeatureVectorFloatWeightSamples(100); 88var rawPrediction = mlContext.Data.CreateEnumerable<SamplesUtils.DatasetUtils.CalibratedBinaryClassifierOutput>(prediction, false); 104var rawData = SamplesUtils.DatasetUtils.GenerateBinaryLabelFloatFeatureVectorFloatWeightSamples(100); 160var rawData = SamplesUtils.DatasetUtils.GenerateBinaryLabelFloatFeatureVectorFloatWeightSamples(100); 219var rawData = SamplesUtils.DatasetUtils.GenerateBinaryLabelFloatFeatureVectorFloatWeightSamples(100); 247var rawPrediction = mlContext.Data.CreateEnumerable<SamplesUtils.DatasetUtils.NonCalibratedBinaryClassifierOutput>(prediction, false); 261var rawData = SamplesUtils.DatasetUtils.GenerateFloatLabelFloatFeatureVectorSamples(512); 296var rawData = SamplesUtils.DatasetUtils.GenerateFloatLabelFloatFeatureVectorSamples(512);
TrainerEstimators\TreeEnsembleFeaturizerTest.cs (17)
21var data = SamplesUtils.DatasetUtils.GenerateBinaryLabelFloatFeatureVectorFloatWeightSamples(1000).ToList(); 50label: nameof(SamplesUtils.DatasetUtils.BinaryLabelFloatFeatureVectorFloatWeightSample.Label), 51feature: nameof(SamplesUtils.DatasetUtils.BinaryLabelFloatFeatureVectorFloatWeightSample.Features)); 128var data = SamplesUtils.DatasetUtils.GenerateBinaryLabelFloatFeatureVectorFloatWeightSamples(dataPointCount).ToList(); 180var data = SamplesUtils.DatasetUtils.GenerateBinaryLabelFloatFeatureVectorFloatWeightSamples(dataPointCount).ToList(); 234var data = SamplesUtils.DatasetUtils.GenerateBinaryLabelFloatFeatureVectorFloatWeightSamples(dataPointCount).ToList(); 302var data = SamplesUtils.DatasetUtils.GenerateBinaryLabelFloatFeatureVectorFloatWeightSamples(dataPointCount).ToList(); 353var data = SamplesUtils.DatasetUtils.GenerateBinaryLabelFloatFeatureVectorFloatWeightSamples(dataPointCount).ToList(); 392var data = SamplesUtils.DatasetUtils.GenerateBinaryLabelFloatFeatureVectorFloatWeightSamples(dataPointCount).ToList(); 431var data = SamplesUtils.DatasetUtils.GenerateFloatLabelFloatFeatureVectorSamples(dataPointCount).ToList(); 469var data = SamplesUtils.DatasetUtils.GenerateFloatLabelFloatFeatureVectorSamples(dataPointCount).ToList(); 507var data = SamplesUtils.DatasetUtils.GenerateFloatLabelFloatFeatureVectorSamples(dataPointCount).ToList(); 545var data = SamplesUtils.DatasetUtils.GenerateFloatLabelFloatFeatureVectorUlongGroupIdSamples(dataPointCount).ToList(); 583var data = SamplesUtils.DatasetUtils.GenerateFloatLabelFloatFeatureVectorSamples(dataPointCount).ToList(); 638var data = SamplesUtils.DatasetUtils.GenerateFloatLabelFloatFeatureVectorSamples(dataPointCount).ToList(); 712var data = SamplesUtils.DatasetUtils.GenerateBinaryLabelFloatFeatureVectorFloatWeightSamples(dataPointCount).ToList(); 770var data = SamplesUtils.DatasetUtils.GenerateRandomMulticlassClassificationExamples(dataPointCount).ToList();