Predictions¶
After you deploy a model to production in the DataRobot Console, you can make predictions closely managed and monitored by DataRobot. The predictions you make through a deployed model provide the data displayed on the deployment's service health, data drift, and accuracy tabs, in addition to any other configured functionality.
Topic | Description |
---|---|
Make predictions | Make predictions with large datasets, providing input data and receiving predictions for each row in the output data. |
Portable predictions | Download and configure the Portable Prediction Server (PPS) or Scoring Code to make portable predictions. |
Prediction API | Adapt downloadable DataRobot Python code to submit a CSV or JSON file for scoring and integrate it into a production application via the Prediction API. |
Monitoring | Access monitoring snippets for agent-monitored external models deployed in Console. |
Prediction intervals | For time series deployments, enable and configure prediction intervals returned alongside the prediction response of deployed models. |
Prediction jobs | View and manage prediction job definitions for a deployment. |
Updated March 19, 2025
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