API Reference

There is only one module, gripa.Gripa, that can be used for detecting anomalies in time series.

class gripa.Gripa(window_size=11, algorithm="hpf", threshold=3)

Parameters

• window_size: int or float, default=11
• algorithm: {"hpf", "ssa"}, default="hpf"
• threshold: float, default=3

Attributes

• anomaly_score: score for labelling anomaly

Methods

• fit(X): train the Gripa model, which can generate attribute anomaly_score
• fit_predict(X): train and generate anomaly labels (True or False)