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. |
Updated October 11, 2023
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