# Predictions

> Predictions - The following sections describe the components to making predictions in DataRobot:

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## Primary page

- [Predictions](https://docs.datarobot.com/en/docs/api/dev-learning/python/predictions/index.html): Full documentation for this topic (HTML).

## Related documentation

- [Developer documentation](https://docs.datarobot.com/en/docs/api/index.html): Linked from this page.
- [Developer learning](https://docs.datarobot.com/en/docs/api/dev-learning/index.html): Linked from this page.
- [Python API client user guide](https://docs.datarobot.com/en/docs/api/dev-learning/python/index.html): Linked from this page.
- [Model.request_predictions()](https://docs.datarobot.com/en/docs/api/reference/sdk/datarobot-models.html#datarobot.models.Model.request_predictions): Linked from this page.
- [DataRobot’s Prediction API](https://docs.datarobot.com/en/docs/predictions/api/dr-predapi.html): Linked from this page.
- [export Scoring Code](https://docs.datarobot.com/en/docs/predictions/scoring-code/index.html): Linked from this page.

## Documentation content

# Predictions

The following sections describe the components to making predictions in DataRobot:

- Generate predictions : Initiate a prediction job with the Model.request_predictions() method. This method can use either a training dataset or predictions dataset for scoring.
- Batch predictions : Score large sets of data with batch predictions. You can define jobs and their schedule.
- Prediction API : Use DataRobot’s Prediction API . to make predictions on both a dedicated and/or a standalone prediction server.
- Scoring Code : Qualifying models allow you to export Scoring Code and use DataRobot-generated models outside of the platform