20 instantiations of DataPoint
Microsoft.ML.Tests (20)
AnomalyDetectionTests.cs (20)
140new DataPoint(){ Features = new float[3] {0, 2, 1} }, 141new DataPoint(){ Features = new float[3] {0, 2, 3} }, 142new DataPoint(){ Features = new float[3] {0, 2, 4} }, 143new DataPoint(){ Features = new float[3] {0, 2, 1} }, 144new DataPoint(){ Features = new float[3] {0, 2, 2} }, 145new DataPoint(){ Features = new float[3] {0, 2, 3} }, 146new DataPoint(){ Features = new float[3] {0, 2, 4} }, 147new DataPoint(){ Features = new float[3] {1, 0, 0} } 184new DataPoint(){ Features = new float[3] {0, 2, 1} }, 185new DataPoint(){ Features = new float[3] {0, 2, 3} }, 186new DataPoint(){ Features = new float[3] {0, 2, 4} }, 187new DataPoint(){ Features = new float[3] {0, 2, 1} }, 188new DataPoint(){ Features = new float[3] {0, 2, 2} }, 189new DataPoint(){ Features = new float[3] {0, 2, 3} }, 190new DataPoint(){ Features = new float[3] {0, 2, 4} }, 191new DataPoint(){ Features = new float[3] {1, 0, 0} } 269new DataPoint(){ Features = new float[3] {1, 0, 2} }, 270new DataPoint(){ Features = new float[3] {2, 0, 4} }, 271new DataPoint(){ Features = new float[3] {4, 0, 8} }, 272new DataPoint(){ Features = new float[3] {8, 0, 16} }
9 references to DataPoint
Microsoft.ML.Tests (9)
AnomalyDetectionTests.cs (9)
62var trainer1 = mlContext.AnomalyDetection.Trainers.RandomizedPca(featureColumnName: nameof(DataPoint.Features), rank: 1, ensureZeroMean: false); 70FeatureColumnName = nameof(DataPoint.Features), 92var trainer1 = mlContext.AnomalyDetection.Trainers.RandomizedPca(featureColumnName: nameof(DataPoint.Features), rank: 1, ensureZeroMean: false); 100FeatureColumnName = nameof(DataPoint.Features), 123/// Class used to capture prediction of <see cref="DataPoint"/> in <see cref="ExecutePipelineWithGivenRandomizedPcaTrainer"/>. 138var samples = new List<DataPoint>() 182var samples = new List<DataPoint>() 265featureColumnName: nameof(DataPoint.Features), rank: 3); 267var samples = new List<DataPoint>()