问题
from sklearn.feature_extraction.text import CountVectorizer
getting this error
from sklearn.feature_extraction.text import CountVectorizer
File "C:\Users\Anaconda3\lib\site-packages\sklearn\__init__.py", line 57, in <module>
from .base import clone
File "C:\Users\Anaconda3\lib\site-packages\sklearn\base.py", line 12, in <module>
from .utils.fixes import signature
File "C:\Users\Anaconda3\lib\site-packages\sklearn\utils\__init__.py", line 11, in <module>
from .validation import (as_float_array,
File "C:\Users\Anaconda3\lib\site-packages\sklearn\utils\validation.py", line 18, in <module>
from ..utils.fixes import signature
File "C:\Users\\Anaconda3\lib\site-packages\sklearn\utils\fixes.py", line 291, in <module>
from scipy.sparse.linalg import lsqr as sparse_lsqr
from .eigen import *
File "C:\Users\Anaconda3\lib\site-packages\scipy\sparse\linalg\eigen\__init__.py", line 11, in <module>
from .arpack import *
File "C:\Users\Anaconda3\lib\site-packages\scipy\sparse\linalg\eigen\arpack\__init__.py", line 22, in <module>
from .arpack import *
File "C:\Users\Anaconda3\lib\site-packages\scipy\sparse\linalg\eigen\arpack\arpack.py", line 45, in <module>
from . import _arpack
ImportError: DLL load failed: The specified module could not be found.
回答1:
According to this github issue https://github.com/hmmlearn/hmmlearn/issues/87
"The solution is to install mkl."
conda install mkl
General advice in case like this is to google last two lines of the stack trace, usually you will find a github or similar thread about it.
回答2:
In my case (this is one of the dependencies used by orange3
), I had to follow one of the other suggestions in https://github.com/hmmlearn/hmmlearn/issues/87, which is to install numpy+mkl
:
pip install "numpy-1.15.4+mkl-cp37-cp37m-win_amd64.whl"
来源:https://stackoverflow.com/questions/53975449/why-do-i-get-this-import-error-when-i-have-the-required-dlls