pyartemis/artemis
A Python package with explanation methods for extraction of feature interactions from predictive models
This tool helps data scientists and machine learning practitioners understand how different features in their predictive models work together. It takes your trained classification or regression model and tabular data, then uncovers the most influential feature interactions. The output helps you scrutinize model behavior and create custom visualizations to explain complex relationships.
No commits in the last 6 months.
Use this if you need to deeply understand why your machine learning model makes certain predictions by identifying how input features interact with each other.
Not ideal if you are not a data scientist or machine learning practitioner, or if your data is not tabular.
Stars
33
Forks
2
Language
Jupyter Notebook
License
MIT
Last pushed
Nov 18, 2023
Commits (30d)
0
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