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Add prediction data post-deployment

Users with the Owner role can add historical prediction data to deployments if data drift is enabled. To do so, navigate to the Settings tab and select choose file under the Inference header to upload your prediction data in XLSX, CSV, or TXT format. You can also select prediction data from the AI Catalog.

Training data is a critical component for calculating data drift. If you did not include training data when you created a deployment, or if there was an error when uploading that data, add it from the Settings tab. You can also check for training data from the Data Drift tab.

The data must meet the following requirements:

  • Appended prediction data must have the same features as the original prediction dataset. After uploading new data, DataRobot prompts to confirm the addition, because you cannot later remove data from a deployment. To use different prediction data, create a new deployment.

  • An uploaded training dataset must include the same features as the prediction (scoring) dataset. You cannot replace training data. If you want a deployment to use different training data, create a new deployment with the appropriate data.


Updated January 7, 2022
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