Scorecard-Bundle is a high-level Scorecard modeling API that is easy-to-use and Scikit-Learn consistent. It covers the major steps to train a Scorecard model such as feature discretization with ChiMerge, WOE encoding, feature evaluation with information value and collinearity, Logistic-Regression-based Scorecard model, and model evaluation for binary classification tasks. All the transformer and model classes in Scorecard-Bundle comply with Scikit-Learn‘s fit-transform-predict convention.
See detailed documentation in https://scorecard-bundle.bubu.blue/
See the source codes of this project in https://github.com/Lantianzz/Scorecard-Bundle
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Release files for scorecardbundle 1.2.2
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Source distribution (sdist)
| File | Size | Uploaded | |
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| scorecardbundle-1.2.2.tar.gz | 30.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scorecardbundle-1.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 59.5 kB
Release files / scorecardbundle-1.2.2.tar.gz
| Download URL | scorecardbundle-1.2.2.tar.gz |
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| Size | 30.9 kB |
| Tags | Source |
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Release files / scorecardbundle-1.2.2-py3-none-any.whl
| Download URL | scorecardbundle-1.2.2-py3-none-any.whl |
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| Size | 28.6 kB |
| Tags | Python 3 |
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twine/3.1.1 pkginfo/1.7.1 requests/2.26.0 setuptools/58.0.4 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.6
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