我试图用NaN均值策略来计算numpy值,但它删除了SimpleImputer值,我读到了如何使用它和,它根本不能处理NaN数组或python列表,有什么问题吗?解决方案是什么?
import numpy as np
from sklearn.impute import SimpleImputer
from sklearn.model_selection import train_test_split
X = np.array([[2,3,6,5,4, np.nan],[2,3,6,15,4, np.nan]])
SI = SimpleImputer(strategy='mean&