2 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)
120
var view = new
SsaSpikeEstimator
(h, options).Fit(options.Data).Transform(options.Data);
9 references to SsaSpikeEstimator
Microsoft.ML.TimeSeries (7)
ExtensionsCatalog.cs (4)
183
/// Create <see cref="
SsaSpikeEstimator
"/>, which predicts spikes in time series
205
public 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
231
public 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)
133
var
pipe = new SsaSpikeEstimator(Env, "Change",
TimeSeriesSimpleApiTests.cs (1)
189
var
learningPipeline = ML.Transforms.DetectSpikeBySsa("Data", "Value", 80.0d, changeHistoryLength, trainingWindowSize, seasonalityWindowSize);