get_anomalies_hist

get_anomalies_hist(ts: TSDataset, in_column: str = 'target', bins_number: int = 10) → Dict[str, List[pandas._libs.tslibs.timestamps.Timestamp]]

Get point outliers in time series using histogram model.

Outliers are all points that, when removed, result in a histogram with a lower approximation error, even with the number of bins less than the number of outliers.

Parameters

• ts (TSDataset) – TSDataset with timeseries data

• in_column (str) – name of the column in which the anomaly is searching

• bins_number (int) – number of bins

Returns

dict of outliers in format {segment: [outliers_timestamps]}

Return type

Dict[str, List[pandas._libs.tslibs.timestamps.Timestamp]]