bigframes.ml.forecasting.ARIMAPlus.detect_anomalies#
- ARIMAPlus.detect_anomalies(X: DataFrame | Series | DataFrame | Series, *, anomaly_prob_threshold: float = 0.95) DataFrame[source]#
Detect the anomaly data points of the input.
- Parameters:
X (bigframes.dataframe.DataFrame or bigframes.series.Series or pandas.core.frame.DataFrame or pandas.core.series.Series) – Series or a DataFrame to detect anomalies.
anomaly_prob_threshold (float, default 0.95) – Identifies the custom threshold to use for anomaly detection. The value must be in the range [0, 1), with a default value of 0.95.
- Returns:
Detected DataFrame.
- Return type: