3 instantiations of SsaSpikeEstimator
Microsoft.ML.TimeSeries (2)
ExtensionsCatalog.cs (1)
233=> new SsaSpikeEstimator(CatalogUtils.GetEnvironment(catalog), outputColumnName, confidence, pvalueHistoryLength, trainingWindowSize, seasonalityWindowSize, inputColumnName, side, errorFunction);
TimeSeriesProcessing.cs (1)
120var view = new SsaSpikeEstimator(h, options).Fit(options.Data).Transform(options.Data);
Microsoft.ML.TimeSeries.Tests (1)
TimeSeriesEstimatorTests.cs (1)
133var pipe = new SsaSpikeEstimator(Env, "Change",
9 references to SsaSpikeEstimator
Microsoft.ML.TimeSeries (7)
ExtensionsCatalog.cs (4)
183/// Create <see cref="SsaSpikeEstimator"/>, which predicts spikes in time series 205public static SsaSpikeEstimator DetectSpikeBySsa(this TransformsCatalog catalog, string outputColumnName, string inputColumnName, int confidence, int pvalueHistoryLength, 210/// Create <see cref="SsaSpikeEstimator"/>, which predicts spikes in time series 231public static SsaSpikeEstimator DetectSpikeBySsa(this TransformsCatalog catalog, string outputColumnName, string inputColumnName, double confidence, int pvalueHistoryLength,
SsaSpikeDetector.cs (3)
28/// <see cref="ITransformer"/> resulting from fitting a <see cref="SsaSpikeEstimator"/>. 217/// Create a new instance of <see cref="SsaSpikeEstimator"/> 255_host = env.Register(nameof(SsaSpikeEstimator));
Microsoft.ML.TimeSeries.Tests (2)
TimeSeriesEstimatorTests.cs (1)
133var pipe = new SsaSpikeEstimator(Env, "Change",
TimeSeriesSimpleApiTests.cs (1)
189var learningPipeline = ML.Transforms.DetectSpikeBySsa("Data", "Value", 80.0d, changeHistoryLength, trainingWindowSize, seasonalityWindowSize);