score-card-model


Namescore-card-model JSON
Version 1.6.8 PyPI version JSON
download
home_pagehttps://github.com/skykiseki/score_card_model
SummaryRisk Score Card Model
upload_time2023-01-05 12:34:09
maintainer
docs_urlNone
authorWei, Zhihui
requires_python>=3.6
licenseMIT
keywords risk score card
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
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

            

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