ombhojane/explainableai
Increase interpretability of your models!
This tool helps data scientists and machine learning practitioners understand how their predictive models make decisions. It takes a trained machine learning model and your dataset as input, then produces insights into which features are most important and why individual predictions were made. The output includes interactive visualizations, human-readable explanations powered by large language models, and comprehensive PDF reports.
No commits in the last 6 months. Available on PyPI.
Use this if you need to clearly explain the reasoning behind your machine learning model's predictions to stakeholders or for regulatory compliance.
Not ideal if you are looking for a tool to build or train machine learning models from scratch, as its primary focus is on explanation and analysis.
Stars
28
Forks
44
Language
Jupyter Notebook
License
MIT
Last pushed
Nov 07, 2024
Commits (30d)
0
Dependencies
16
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