ARIMA_PLUS

Related topics

• ARIMA_PLUS is part of BigQuery ML From the official documentation: “BigQuery ML offers the following types of time series forecasting models: - [`ARIMA_PLUS` univariate models](/bigquery/docs/reference/standard-sql/bigqueryml-syntax-create-time-series)”
• ARIMA_PLUS works with ML.DETECT_ANOMALIES From the official documentation: “| [`ARIMA_PLUS`](/bigquery/docs/reference/standard-sql/bigqueryml-syntax-create-time-series) | `ML.DETECT_ANOMALIES` | Detect the anomalies in the time series. | |”
• ARIMA_PLUS works with ML.EVALUATE From the official documentation: “`ML.EVALUATE` returns the following columns for `ARIMA_PLUS` or `ARIMA_PLUS_XREG` models when input data is provided and `perform_aggregation` is `FALSE`:”
• ML.DETECT_ANOMALIES is part of BigQuery ML From the official documentation: “This document describes the `ML.DETECT_ANOMALIES` function, which lets you perform anomaly detection in BigQuery ML.”