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.
|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:
|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.