predict-idlab/powershap
A power-full Shapley feature selection method.
This tool helps data scientists and machine learning engineers streamline their model development by automatically identifying the most important features in a dataset. You input your dataset and a classification or regression model, and it outputs a reduced dataset containing only the features that significantly impact your model's predictions. This helps you build more efficient and understandable models.
214 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to reduce the number of features in your dataset for machine learning models, ensuring you only keep the most impactful ones.
Not ideal if you need a feature selection method that doesn't rely on statistical hypothesis testing of feature impacts.
Stars
214
Forks
24
Language
Python
License
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Category
Last pushed
Oct 07, 2025
Commits (30d)
0
Dependencies
5
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