python - 导入错误: cannot import name 'SimpleImputer'

Question

我尝试:

from sklearn.preprocessing import SimpleImputer
imp = SimpleImputer()
imputed = pd.DataFrame()   
imp.fit_transform(Final_df201911)

但我收到错误:ImportError:无法导入名称“SimpleImputer”

所以我做到了:

conda update anaconda

它完成了所有下载，但然后说(在 anaconda 终端中):

Executing transaction: failed
ERROR conda.core.link:_execute(481): An error occurred while uninstalling package 'defaults::conda-4.4.10-py36_0'.
PermissionError(13, 'Access is denied')
Attempting to roll back.

Rolling back transaction: done

PermissionError(13, 'Access is denied')

我需要做什么才能获得 SimpleImputer？我正在使用 scikit-learn 版本 0.19.1

Answer 1

I am using scikit-learn version 0.19.1

在此版本中只有 Imputer ( https://sklearn.org/modules/generated/sklearn.preprocessing.Imputer.html `)

<小时/>

SimpleImputer出现在0.22中。

<小时/>

尝试安装最新版本:

 pip install -U scikit-learn

然后使用:

from sklearn.impute import SimpleImputer

来源:https://github.com/mindsdb/lightwood/issues/75