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# Trepan Demo

A jupyter notebook about how to use **Trepan** to explain a black-box model.

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* Original video source: https://mediaspace.wisc.edu/media/Trepan+demo/1_6v138o0b 
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* The Jupyter Notebook is available at: [A demonstration of running Trepan](https://gist.github.com/sverchkov/c87b301db1b88e0f4cc8bb7d77b889b9) 
* Python package: [**Craven-Biostat-Lab/generalizedtrees**](https://github.com/Craven-Biostat-Lab/generalizedtrees): Library for tree models: decision trees, model trees, mimic models, etc. 

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## Prerequisites
* Python 3.8.x
* Package generalizedtrees==1.1.0

see requirements.txt

## Start in Binder

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/git/https%3A%2F%2Fgitlab.rz.uni-bamberg.de%2Fcogsys%2Fpublic%2Fki-campus%2Ftrepan-jupyter-notebook/HEAD?filepath=trepan-demo.ipynb)

## Authors
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Yuri Sverchkov, https://www.biostat.wisc.edu/~yuriy/

Adapted for AI-Campus course [XAI4Ing](https://learn.ki-campus.org/courses/erklaerbareki2020) by Stephan Scheele, https://www.uni-bamberg.de/en/cogsys/scheele-stephan/

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## Contact
Via the gitlab website: Stephan Scheele, https://www.uni-bamberg.de/en/cogsys/scheele-stephan/


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## License

This work is licensed under Creative Commons Attribution 4.0 International License.
https://creativecommons.org/licenses/by/4.0/



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