Metadata-Version: 2.1
Name: score-card-model
Version: 1.6.6
Summary: Risk Score Card Model
Home-page: https://github.com/skykiseki/score_card_model
Author: Wei, Zhihui
Author-email: evelinesdd@qq.com
License: MIT
Keywords: Risk Score Card
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Natural Language :: Chinese (Simplified)
Classifier: Natural Language :: Chinese (Traditional)
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Text Processing
Classifier: Topic :: Text Processing :: Indexing
Classifier: Topic :: Text Processing :: Linguistic
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: dill (>=0.2.9)
Requires-Dist: seaborn (>=0.11.1)
Requires-Dist: scikit-learn
Requires-Dist: statsmodels (>=0.12.2)
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: tqdm


我家还蛮大的, 欢迎你们来我家van.

https://github.com/skykiseki

score_card_model
====

    "风险评分卡模型开发" 
    基于最早的FICO风险评分卡逻辑进行优化

    当前包含主干部分, 即特征分箱、IV值计算、Woe转化、模型评估指标等。
    不包含建模的部分, 这个问题留给用户。

    
    特征的分箱使用的方法是卡方分箱, 整个流程为:
    整理特征类型(离散、连续) -> 初始化分箱 -> 卡方合并 -> 单调性检验 -> 特殊值处理 

完整文档见 ``README.md``

GitHub: https://github.com/skykiseki/score_card_model


