ImportError in importing from sklearn: cannot import name check_build

I am getting the following error while trying to import from sklearn:

>>> from sklearn import svm

Traceback (most recent call last):
  File "<pyshell#17>", line 1, in <module>
   from sklearn import svm
  File "C:\Python27\lib\site-packages\sklearn\__init__.py", line 16, in <module>
   from . import check_build
ImportError: cannot import name check_build

I am using python 2.7, scipy-0.12.0b1 superpack, numpy-1.6.0 superpack, scikit-learn-0.11 I have a windows 7 machine

I have checked several answers for this issue but none of them gives a way out of this error.

Solution 1:

Worked for me after installing scipy.

Solution 2:

>>> from sklearn import preprocessing, metrics, cross_validation

Traceback (most recent call last):
  File "<pyshell#6>", line 1, in <module>
    from sklearn import preprocessing, metrics, cross_validation
  File "D:\Python27\lib\site-packages\sklearn\__init__.py", line 31, in <module>
    from . import __check_build
ImportError: cannot import name __check_build
>>> ================================ RESTART ================================
>>> from sklearn import preprocessing, metrics, cross_validation
>>> 

So, simply try to restart the shell!

Solution 3:

My solution for Python 3.6.5 64-bit Windows 10:

1. pip uninstall sklearn
2. pip uninstall scikit-learn
3. pip install sklearn

No need to restart command-line but you can do this if you want. It took me one day to fix this bug. Hope this help.

Solution 4:

After installing numpy , scipy ,sklearn still has error

Solution:

Setting Up System Path Variable for Python & the PYTHONPATH Environment Variable

System Variables: add C:\Python34 into path User Variables: add new: (name)PYTHONPATH (value)C:\Python34\Lib\site-packages;

Solution 5:

Usually when I get these kinds of errors, opening the __init__.py file and poking around helps. Go to the directory C:\Python27\lib\site-packages\sklearn and ensure that there's a sub-directory called __check_build as a first step. On my machine (with a working sklearn installation, Mac OSX, Python 2.7.3) I have __init__.py, setup.py, their associated .pyc files, and a binary _check_build.so.

Poking around the __init__.py in that directory, the next step I'd take is to go to sklearn/__init__.py and comment out the import statement---the check_build stuff just checks that things were compiled correctly, it doesn't appear to do anything but call a precompiled binary. This is, of course, at your own risk, and (to be sure) a work around. If your build failed you'll likely soon run into other, bigger problems.