Batch predictions in SageMaker Canvas
Make batch predictions when you have an entire dataset for which you’d like to generate predictions. Amazon SageMaker Canvas supports batch predictions for datasets up to PBs in size.
There are two types of batch predictions you can make:
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Manual batch predictions are when you have a dataset for which you want to make one-time predictions.
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Automatic batch predictions are when you set up a configuration that runs whenever a specific dataset is updated. For example, if you’ve configured weekly updates to a SageMaker Canvas dataset of inventory data, you can set up automatic batch predictions that run whenever you update the dataset. After setting up an automated batch predictions workflow, see How to manage automations for more information about viewing and editing the details of your configuration. For more information about setting up automatic dataset updates, see Configure automatic updates for a dataset.
Note
You can only set up automatic batch predictions for datasets imported through local upload or Amazon S3. Additionally, automatic batch predictions can only run while you’re logged in to the Canvas application. If you log out of Canvas, the automatic batch prediction job resumes when you log back in.
To get started, review the Batch prediction dataset requirements, and then choose one of the following manual or automatic batch prediction workflows.
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