The Machine-Learning On-Demand Result Forecast method uses GET to obtain the forecasting result of a machine-learning on-demand forecasting job. Before using this method, you need to request machine-learning on-demand forecasting and obtain the job_id.
To poll the result of your machine-learning forecasting, send the forecast_id as a parameter with the value of the job_id. You receive only these forecasting metrics: Forecasted Final Delivery Impressions (FFDI), Forecast Final Delivery Rate (FFDR), and Net Unreserved Available (NUA).
Polling results periodically can be helpful because the time it takes to run machine-learning on-demand forecasting may vary from seconds to minutes. If the machine-learning on-demand forecasting continues processing with no result available, this method returns a 422 error.