API user guide¶
The API user guide includes overviews, Jupyter notebooks, and task-based tutorials that help you find complete examples of common data science and machine learning workflows. Be sure to review the API quickstart guide before using the notebooks below.
| Topic | Describes... |
|---|---|
| Common use cases | Review Jupyter notebooks that outline common use cases and machine learning workflows using DataRobot's Python client. |
| Public preview: R client v2.29 | Review the changes introduced to DataRobot's R client with version 2.29. |
| Python code examples | Python code examples for common data science workflows. |
| R code examples | code examples that outline common data science workflows. |
| REST API code examples | REST API code examples that outline common data science workflows. |
In addition to the examples listed above, DataRobot hosts community-driven notebooks accessible from the following locations:
| Resource | Description |
|---|---|
| Examples for data scientists (Github repository) | Referential Jupyter notebooks that outline common DataRobot functions. |
| Tutorials for data scientists (Github repository) | Jupyter notebooks that detail applicable use cases for DataRobot. |
| R vignettes included in the R client | Long-form tutorials outlining functions in the DataRobot R package. |
| Jupyter notebooks included in the Python client | Example Jupyter notebooks demonstrating sample use cases and DataRobot functions using the DataRobot Python package. |