toad

from sklearn.model_selection import train_test_split train,test=train_test_split(dd,test_size=0.6) toad.detect(dd) toad.quality(dd,target='target',iv_ ......

KS循环 testks=pd.ExcelWriter('test1.xlsx') columns_df=pd.DataFrame(mx2.columns) for i,j in enumerate(mx2.columns): result=toad.metrics.KS_bucket(mx[j],m ......

import toad import scorecardpy as sc str(x).strip() toad.detector.detect() toad.metrics.KS_bucket(x,y,bucket=10,method = 'quantile') bins = sc.woebin( ......