ModuleNotFoundError:没有名为“imblearn”的模块

Question

我尝试运行以下代码：

from imblearn import under_sampling, over_sampling
from imblearn.over_sampling import SMOTE

sm = SMOTE(random_state=12, ratio = 1.0)
x_SMOTE, y_SMOTE = sm.fit_sample(X, y) 

这给出了错误消息：

ModuleNotFoundError: No module named 'imblearn'

我尝试过以多种方式安装imblearn模块，它们似乎都能正常工作(在安装过程中没有给出错误，但当我运行上面的代码时，我得到了一条错误消息)。

我尝试使用下面在其他堆栈溢出问题中建议的方法来安装imblearn：

pip install -U imbalanced-learn
pip install imblearn
!pip install imblearn
pip install -c glemaitre imbalanced-learn
pip install imblearn==0.0

这些似乎都没有帮助..。有什么想法吗？谢谢!

Answer 1

我使用anaconda命令提示符安装了名为imblearn的模块。

conda install -c conda-forge imbalanced-learn

然后导入包

from imblearn import under_sampling, over_sampling
from imblearn.over_sampling import SMOTE

再一次，我尝试通过pip安装imblearn，它对我很有效。

(base) C:\WINDOWS\system32>pip install -U imbalanced-learn
Requirement already up-to-date: imbalanced-learn in c:\users\ashok\anaconda3\lib\site-packages (0.4.3)
Requirement already satisfied, skipping upgrade: numpy>=1.8.2 in c:\users\ashok\anaconda3\lib\site-packages (from imbalanced-learn) (1.15.3)
Requirement already satisfied, skipping upgrade: scipy>=0.13.3 in c:\users\ashok\anaconda3\lib\site-packages (from imbalanced-learn) (0.19.1)
Requirement already satisfied, skipping upgrade: scikit-learn>=0.20 in c:\users\ashok\anaconda3\lib\site-packages (from imbalanced-learn) (0.20.0)

Answer 2

在亚马逊网络服务SageMaker上，关注the documentation

!pip install imbalanced-learn

在笔记本的单元格里。

Answer 3

打开anaconda提示，安装下面的模块：

conda install -c conda-forge imbalanced-learn
conda install -c conda-forge/label/gcc7 imbalanced-learn
conda install -c conda-forge/label/cf201901 imbalanced-learn