尝试导入 sklearn 模块时出错：ImportError：DLL 加载失败：找不到指定的模块

Question

I tried to do the following importations for a machine learning project:

from sklearn import preprocessing, cross_validation, svm
from sklearn.linear_model import LinearRegression

I got this error message:

Traceback (most recent call last):
  File "C:/Users/Abdelhalim/PycharmProjects/ML/stock pricing.py", line 4, in <module>
    from sklearn import preprocessing, cross_validation, svm
  File "C:\Python27\lib\site-packages\sklearn\__init__.py", line 57, in <module>
    from .base import clone
  File "C:\Python27\lib\site-packages\sklearn\base.py", line 12, in <module>
    from .utils.fixes import signature
  File "C:\Python27\lib\site-packages\sklearn\utils\__init__.py", line 11, in <module>
    from .validation import (as_float_array,
  File "C:\Python27\lib\site-packages\sklearn\utils\validation.py", line 18, in <module>
    from ..utils.fixes import signature
  File "C:\Python27\lib\site-packages\sklearn\utils\fixes.py", line 291, in <module>
    from scipy.sparse.linalg import lsqr as sparse_lsqr
  File "C:\Python27\lib\site-packages\scipy\sparse\linalg\__init__.py", line 112, in <module>
    from .isolve import *
  File "C:\Python27\lib\site-packages\scipy\sparse\linalg\isolve\__init__.py", line 6, in <module>
    from .iterative import *
  File "C:\Python27\lib\site-packages\scipy\sparse\linalg\isolve\iterative.py", line 7, in <module>
    from . import _iterative
ImportError: DLL load failed: The specified module could not be found.

Please help I tried everything but nothing worked. I tried these solutions as well: ImportError: DLL load failed: Le module spécifié est introuvable

ImportError: DLL load failed: The specified module could not be found

Answer 1

This line points to scipy.

from scipy.sparse.linalg import lsqr as sparse_lsqr

You can try:

pip uninstall scipy

pip install scipy

enjoy!

Answer 2

You should open up "C:\\Python27\\lib\\site-packages\\sklearn\\utils\\fixes.py", and edit the contents. There are two specific changes you should make:

First , copy-and-paste the contents of https://github.com/scikit-learn/scikit-learn/blob/74a9756fa784d1f22873ad23c8b4948c6e290108/sklearn/utils/fixes.py into the file "C:\\Python27\\lib\\site-packages\\sklearn\\utils\\fixes.py".

Second , replace the line if np_version < (1, 12, 0): with if np_version < (1, 12): .

More background info and detail available here , in a great answer from user DSM .

Answer 3

重新安装scipy 、 numpy和scikit-learn包修复了我的错误。

Answer 4

Install this numpy library instead of the one you use:

http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy

I assume you have Intel Math Kernal Libary installed.

Answer 5

i've found a silly solution, similar to the @saggy ones: iteratively run the script from command line, if compare a "DLL error" look for a package/module/library/wattelapesca name, then pip uninstall thatPackage and re-install it

as a pseudocode:

notWorking = true
while( nonFunge ){
    run_the_script_from_command_line()
    output = get_last_cmd_output()
    if( "ImportError: DLL load failed: blabla" in output ){
        doomed_package = look_for_package_module_library_wattelapesca(output)
        exec("pip uninstall " + doomed_package )
        exec("pip install " + doomed_package )
    }else # all ok, the script works
         notWorking = false
}

Answer 6

For me uninstalling scipy in conda env and then reinstalling using pip works.

Uninstall: conda remove --force scipy

Install: pip install scipy

Answer 7

DLL missing can happen by a wide range of reasons. In your case it seems there is a mismatch between sklearn and its dependencies(Maybe different 32bit or 64bit installation of packages.). As different answers point out to different packages, a general way to find out dependencies is using:

pip show scikit-learn

and the output is:

Name: scikit-learn

Version: 0.23.1

Summary: A set of python modules for machine learning and data mining

Home-page: http://scikit-learn.org

Author: None

Author-email: None

License: new BSD

Location: c:\\users\\username\\appdata\\local\\programs\\python\\python37\\lib\\site- packages

Requires: joblib, numpy, threadpoolctl, scipy

So It's probable that the root problem returns to one of 'Requires' packages. By the way the error lines also can point out which package causes error. Try reinstalling these packages should solve the problem.