ML.FORECAST

Related topics

• forecasting works with ML.FORECAST From the official documentation: “Use the [`ML.FORECAST` function](/bigquery/docs/reference/standard-sql/bigqueryml-syntax-forecast) to retrieve the forecasted values that were generated when you created the model.”
• ML.EXPLAIN_FORECAST is an alternative to ML.FORECAST From the official documentation: “The `ML.EXPLAIN_FORECAST` function forecasts future time series values and also returns all the separate components of the time series. If you just want to return forecast data, use the `ML.FORECAST` function instead, as shown in [Use the model to forecast…”
• ML.FORECAST is part of BigQuery From the official documentation: “In the Google Cloud console, go to the **BigQuery** page. [Go to BigQuery](https://console.cloud.google.com/bigquery) 2. In the query editor, paste in the following query and click **Run**: ```googlesql SELECT * FROM ML.FORECAST(MODEL `bqml_tutorial.ga_arima_model`, STRUCT(30…”
• forecasting works with ML.EXPLAIN_FORECAST From the official documentation: “Use the [`ML.EXPLAIN_FORECAST` function](/bigquery/docs/reference/standard-sql/bigqueryml-syntax-explain-forecast) function to retrieve the forecasted values that were generated when you created the model, and compute the prediction intervals.”
• ML.EXPLAIN_FORECAST is part of BigQuery From the official documentation: “In the Google Cloud console, go to the **BigQuery** page. [Go to BigQuery](https://console.cloud.google.com/bigquery) 2. In the query editor, paste in the following query and click **Run**: ```googlesql SELECT * FROM ML.EXPLAIN_FORECAST(MODEL `bqml_tutorial.ga_arima_model`…”