1.單變量分析
計算gini值,或者iv或者ks
見另一篇文章
2.多變量分析
計算皮爾遜相關係數
python
import matplotlib.pyplot as plt
import seaborn as sns
data3_corr=data3.corr()
data3_corr.to_csv('trade_5_csv.csv')
sns.heatmap(data3_corr)
plt.show()
1.單變量分析
計算gini值,或者iv或者ks
見另一篇文章
2.多變量分析
計算皮爾遜相關係數
python
import matplotlib.pyplot as plt
import seaborn as sns
data3_corr=data3.corr()
data3_corr.to_csv('trade_5_csv.csv')
sns.heatmap(data3_corr)
plt.show()
class MetaCls(type): def __new__(cls, *args, **kwargs): print("in MetaCls") # return super(Meta