scorecard
Project description
LAPRAS
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for lapras-0.0.17-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9b1ec3603ca81314946809f52ebb9921f19f995428917df0105c527f24fe95d5 |
|
MD5 | cf32d094e5b363d576e5ae86976cadc7 |
|
BLAKE2b-256 | bd20cb9ece34b918258dbe5c648ad84efcc30a56c58c2ba0bfe8c452c414d4b7 |