Please note: The code in these repos is sourced from the DataRobot user community and is not owned or maintained by DataRobot, Inc. You may need to make edits or updates for this code to function properly in your environment.
The PredictionExplanationsClustering Python package provides you with high level methods that you can use to cluster prediction explanations results retrieved from DataRobot. These clusters can provide advanced insights on your data and help you better understand your models and problem.
The package itself is contained in the directory src/PredictionExplanationsClustering.py and can be imported in any python script.
You will find a jupyter notebook called Example - PredictionExplanationsClustering.py which walks you through the process of using the package to get advanced insights.
All of the requirements are present within the requirements.txt file.
To install these packages on pip, use:
pip install -r requirements.txt
To create a new environment using conda, use:
conda create --name <env_name> --file requirements.txt
If you'd like to report an issue or bug, suggest improvements, or contribute code to this project, please refer to CONTRIBUTING.md.
This project has adopted the Contributor Covenant for its Code of Conduct. See CODE_OF_CONDUCT.md to read it in full.
Licensed under the Apache License 2.0. See LICENSE to read it in full.