@@ -36,7 +36,7 @@ python scripts/**stats.py** 'd:\age.csv' 'd:\output.csv' 'age'</br>
3636</table >
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39- 2.scripts/woe.py（计算[ woe] ( https ://www.google.com.hk/url?sa=t&rct=j&q=&esrc=s&source=web&cd=8&cad=rja&uact=8&ved=0ahUKEwjkiYvvvLLSAhXEp5QKHZXxCPcQFghKMAc&url=http%3A%2F%2Fwww. listendata.com%2F2015%2F03%2Fweight -of-evidence-woe-and-information.html&usg=AFQjCNFSOMXCC82266M40O_WCP84PLgBgw ) 和[ iv] ( https ://www.google.com.hk/url?sa=t&rct=j&q=&esrc=s&source=web&cd=8&cad=rja&uact=8&ved=0ahUKEwjkiYvvvLLSAhXEp5QKHZXxCPcQFghKMAc&url=http%3A%2F%2Fwww. listendata.com%2F2015%2F03%2Fweight -of-evidence-woe-and-information.html&usg=AFQjCNFSOMXCC82266M40O_WCP84PLgBgw ) 脚本）</br >
39+ 2.scripts/woe.py（计算[ woe] ( http ://www.listendata.com/2015/03/weight -of-evidence-woe-and-information.html) 和[ iv] ( http ://www.listendata.com/2015/03/weight -of-evidence-woe-and-information.html) 脚本）</br >
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4141####1 )使用方法</br >
4242python scripts/** woe.py** 输入dataframe所在csv 待分析特征变量 分段表达式（用逗号连接） y变量</br >
