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scorecard

Project description

lupin4

PyPi version Python version

lupin4 is developed to facilitate the dichotomy model development work.

Usage

lupin4 is designed to develop standard scorecard model. It contains the main steps as follows:
1.Exploratory Data Analysis
lupin4.detect()
lupin4.quality()
lupin4.IV()
lupin4.VIF()

2.Feature Selection
lupin4.select()
lupin4.stepwise()

3.Binnings
lupin4.Combiner()
lupin4.WOETransformer()
lupin4.bin_stats()
lupin4.bin_plot()

4.Modeling
lupin4.ScoreCard()

5.Performance Measure
lupin4.perform()
lupin4.LIFT()
lupin4.score_plot()
lupin4.KS_bucket()
lupin4.PSI()
lupin4.KS()
lupin4.AUC()

Also lupin4 provides a function which runs all the steps above automaticly:
lupin4.auto_model()

For detailed usage, please refer to the wiki. Enjoy.

Install

via pip

pip install lupin4 --upgrade -i https://pypi.org/simple

via source code

python setup.py install

install_requires = [ 'numpy >= 1.18.4', 'pandas >= 0.25.1, <=0.25.3', 'scipy >= 1.3.2', 'scikit-learn =0.22.2', 'seaborn >= 0.10.1', 'statsmodels >= 0.13.1', 'tensorflow >= 2.2.0, <=2.5.0', 'hyperopt >= 0.2.7', 'pickle >= 4.0', ]

Project details


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