pypi.org : shfs
Feature election group of classes calculate the importance of features based on the Shap library for the classification and regression problem Only works with randomforest models for efficiency or gradient boosting models. DFwrapper - remove multicollinearity and outliers
Registry
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Source
- Documentation
- JSON
- codemeta.json
purl: pkg:pypi/shfs
Keywords:
shap
, fi
, pipeline
License: MIT
Latest release: almost 4 years ago
First release: almost 4 years ago
Dependent repositories: 1
Downloads: 7 last month
Stars: 3 on GitHub
Forks: 0 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 9 days ago