bigframes.ml.forecasting.ARIMAPlus.summary#
- ARIMAPlus.summary(show_all_candidate_models: bool = False) DataFrame[source]#
Summary of the evaluation metrics of the time series model.
Note
Output matches that of the BigQuery ML.ARIMA_EVALUATE function. See: https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-arima-evaluate for the outputs relevant to this model type.
- Parameters:
show_all_candidate_models (bool, default to False) – Whether to show evaluation metrics or an error message for either all candidate models or for only the best model with the lowest AIC. Default to False.
- Returns:
A DataFrame as evaluation result.
- Return type: