API reference¶
The table below outlines the reference documentation available for DataRobot's API, SDKs, and code-first tools.
| Resource | Description |
|---|---|
| REST API | The DataRobot REST API provides a programmatic alternative to the UI for creating and managing DataRobot assets. It allows you to automate processes and iterate more quickly, and lets you use DataRobot with scripted control. The API provides an intuitive modeling and prediction interface. |
| Python API client | Installation, configuration, and usage guidelines for working with the Python client library. To access previous version of the Python API client documentation, access ReadTheDocs. |
| Prediction API | DataRobot's Prediction API provides a mechanism for using your model for real-time predictions on a prediction server. |
| Batch prediction API | The Batch Prediction API provides flexible options for scoring large datasets using the prediction servers you have already deployed. |
| API changelogs | Changelogs contain curated, ordered lists of notable changes for each versioned release for DataRobot's SDKs and REST API. |
| Self-managed resources | Details the resources available for self-managed DataRobot deployments. |
| R client | Installation, configuration, and reference documentation for working with the R client library. |
| OpenAPI specification | Reference the OpenAPI specification for the DataRobot REST API, which helps automate the generation of a client for languages that DataRobot doesn't directly support. It also assists with the design, implementation, and testing integration with DataRobot's REST API using a variety of automated OpenAPI-compatible tools. Note that accessing the OpenAPI spec requires you to be logged into the DataRobot application. |