Get estimated run time for forecast creation jobs while using Amazon Forecast
We are excited to announce that Amazon Forecast now displays the estimated time it takes to complete an in-progress workflow for importing your data, training the predictor and generating the forecast. You can now manage your time more efficiently and better plan for your next workflow around the estimated time remaining for your in-progress workflow. Forecast uses machine learning (ML) to generate more accurate demand forecasts, without requiring any prior ML experience. Forecast brings the same technology used at Amazon.com to developers as a fully managed service, removing the need to manage resources or rebuild your systems.
We are excited to announce that Amazon Forecast now displays the estimated time it takes to complete an in-progress workflow for importing your data, training the predictor and generating the forecast. You can now manage your time more efficiently and better plan for your next workflow around the estimated time remaining for your in-progress workflow. Forecast uses machine learning (ML) to generate more accurate demand forecasts, without requiring any prior ML experience. Forecast brings the same technology used at Amazon.com to developers as a fully managed service, removing the need to manage resources or rebuild your systems.
The visibility to the time that a workflow may take can be especially useful for manually running your forecast workloads and during the process of experimentation. Knowing how long each workflow will take gives you the choice to shift your focus to other tasks and come back to completing the forecast journey later. Additionally, the displayed estimated time to complete a workflow refreshes automatically which provides better expectations and removes further frustration.
To learn more about this capability, read through our blog here or see DescribeDatasetImportJob, DescribePredictor, DescribeForecast. You can use this capability in all Regions where Forecast is publicly available. For more information about Region availability, see AWS Regional Services.