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scorecard

Project description

LAPRAS

PyPi version Python version

Lapras is developed to facilitate the dichotomy model development work.

Usage

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

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

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

4.Modeling
lapras.ScoreCard()

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

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

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

Install

via pip

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

via source code

python setup.py install

Project details


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