Metadata-Version: 2.1
Name: lapras
Version: 0.0.17
Summary: scorecard
Home-page: https://github.com/yhangang/lapras
Author: Badtom
Author-email: yhangang@gmail.com
License: MIT
Keywords: scorecard
Platform: UNKNOWN
Classifier: Operating System :: POSIX
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.5
Description-Content-Type: text/markdown



# LAPRAS

[![PyPi version][pypi-image]][pypi-url]
[![Python version][python-image]][docs-url]



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

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

via source code

```bash
python setup.py install
```




[pypi-image]: https://img.shields.io/badge/pypi-V0.0.15-%3Cgreen%3E
[pypi-url]: https://github.com/yhangang/lapras
[python-image]: https://img.shields.io/pypi/pyversions/toad.svg?style=flat-square
[docs-url]: https://github.com/yhangang/lapras



