bigframes.ml.forecasting.ARIMAPlus.predict#
- ARIMAPlus.predict(X=None, *, horizon: int = 3, confidence_level: float = 0.95) DataFrame[source]#
Forecast time series at future horizon.
Note
Output matches that of the BigQuery ML.FORECAST function. See: https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-forecast
- Parameters:
X (default None) – ignored, to be compatible with other APIs.
(int (horizon) – 3): an int value that specifies the number of time points to forecast. The default value is 3, and the maximum value is 1000.
default – 3): an int value that specifies the number of time points to forecast. The default value is 3, and the maximum value is 1000.
confidence_level (float, default 0.95) – A float value that specifies percentage of the future values that fall in the prediction interval. The valid input range is [0.0, 1.0).
- Returns:
- The predicted DataFrames. Which
contains 2 columns: “forecast_timestamp”, “id” as optional, and “forecast_value”.
- Return type: