4 instantiations of TimeSeriesDataDouble
Microsoft.ML.TimeSeries.Tests (4)
TimeSeriesDirectApi.cs (4)
606data.Add(new TimeSeriesDataDouble { Value = 5 }); 608data.Add(new TimeSeriesDataDouble { Value = 10 }); 611data.Add(new TimeSeriesDataDouble { Value = 5 }); 1068new TimeSeriesDataDouble()
28 references to TimeSeriesDataDouble
Microsoft.ML.TimeSeries.Tests (28)
TimeSeriesDirectApi.cs (28)
590List<TimeSeriesDataDouble> data; 597dataView = ml.Data.LoadFromTextFile<TimeSeriesDataDouble>(dataPath, hasHeader: true); 598data = ml.Data.CreateEnumerable<TimeSeriesDataDouble>(dataView, reuseRowObject: false).ToList(); 602data = new List<TimeSeriesDataDouble>(); 620string inputColumnName = nameof(TimeSeriesDataDouble.Value); 680List<TimeSeriesDataDouble> data; 685dataView = ml.Data.LoadFromTextFile<TimeSeriesDataDouble>(dataPath, hasHeader: true); 686data = ml.Data.CreateEnumerable<TimeSeriesDataDouble>(dataView, reuseRowObject: false).ToList(); 690string inputColumnName = nameof(TimeSeriesDataDouble.Value); 727List<TimeSeriesDataDouble> data; 732dataView = ml.Data.LoadFromTextFile<TimeSeriesDataDouble>(dataPath, hasHeader: true); 733data = ml.Data.CreateEnumerable<TimeSeriesDataDouble>(dataView, reuseRowObject: false).ToList(); 737string inputColumnName = nameof(TimeSeriesDataDouble.Value); 782List<TimeSeriesDataDouble> data; 787dataView = ml.Data.LoadFromTextFile<TimeSeriesDataDouble>(dataPath, hasHeader: true); 788data = ml.Data.CreateEnumerable<TimeSeriesDataDouble>(dataView, reuseRowObject: false).ToList(); 792string inputColumnName = nameof(TimeSeriesDataDouble.Value); 841List<TimeSeriesDataDouble> data; 846dataView = ml.Data.LoadFromTextFile<TimeSeriesDataDouble>(dataPath, hasHeader: true); 847data = ml.Data.CreateEnumerable<TimeSeriesDataDouble>(dataView, reuseRowObject: false).ToList(); 851string inputColumnName = nameof(TimeSeriesDataDouble.Value); 898List<TimeSeriesDataDouble> data; 904dataView = ml.Data.LoadFromTextFile<TimeSeriesDataDouble>(dataPath, hasHeader: true); 905data = ml.Data.CreateEnumerable<TimeSeriesDataDouble>(dataView, reuseRowObject: false).ToList(); 915dataView = ml.Data.LoadFromEnumerable<TimeSeriesDataDouble>(data); 919string inputColumnName = nameof(TimeSeriesDataDouble.Value); 1072foreach (var data in input) 1079int period = mlContext.AnomalyDetection.DetectSeasonality(dataView, nameof(TimeSeriesDataDouble.Value), seasonalityWindowSize);