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https://github.com/dominance-analysis/dominance-analysis
This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.
https://github.com/dominance-analysis/dominance-analysis
classification-model dominance dominance-analysis dominance-statistics feature-engineering feature-importance feature-selection keydrivers logistic-regression multiple-regression predictor predictor-importance pseudo-r-square r-square regression-models relative-importance shapley-value
Last synced: about 2 months ago
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This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.
- Host: GitHub
- URL: https://github.com/dominance-analysis/dominance-analysis
- Owner: dominance-analysis
- License: mit
- Created: 2018-12-05T11:44:41.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2023-08-17T12:57:54.000Z (about 1 year ago)
- Last Synced: 2024-07-29T06:37:38.448Z (about 2 months ago)
- Topics: classification-model, dominance, dominance-analysis, dominance-statistics, feature-engineering, feature-importance, feature-selection, keydrivers, logistic-regression, multiple-regression, predictor, predictor-importance, pseudo-r-square, r-square, regression-models, relative-importance, shapley-value
- Language: Python
- Homepage: https://pypi.org/project/dominance-analysis/
- Size: 4.54 MB
- Stars: 146
- Watchers: 20
- Forks: 57
- Open Issues: 5
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Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md