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Project description
lupin4
[][pypi-url]
[
][docs-url]
lupin4 is designed to make the model developing work easily and conveniently. It contains these functions below in one key operation: data exploratory analysis, feature selection, feature binning, data visualization, scorecard modeling(a logistic regression model with excellent interpretability), performance measure.
Let's get started.
Usage
1.Exploratory Data Analysis
lupin4.detect()
lupin4.quality()
lupin4.IV()
lupin4.VIF()
lupin4.PSI()
2.Feature Selection
lupin4.select()
lupin4.stepwise()
3.Binning
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.PPSI()
lupin4.KS()
lupin4.AUC()
6.One Key Auto Modeling
lupin4 also provides a function which runs all the steps above automatically:
lupin4.auto_model()
For more details, please refer to the wiki page. 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', ]
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