Error importing scikit-learn modules

Question

I\'m trying to call a function from the cluster module, like so:

import sklearn
db = sklearn.cluster.DBSCAN()

and I get the following error

Answer 1

From the error log, it shows that scipy module is the most recent module fails to import

  File "C:\Python34\lib\site-packages\sklearn\utils\fixes.py", line 318, in <module>
    from scipy.sparse.linalg import lsqr as sparse_lsqr
  File "C:\Python34\lib\site-packages\scipy\sparse\linalg\__init__.py", line 109, in <module>
    from .isolve import *
  File "C:\Python34\lib\site-packages\scipy\sparse\linalg\isolve\__init__.py", line 6, in <module>
    from .iterative import *
  File "C:\Python34\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.

I have the same error that show the same log, the problem'd gone when I uninstall/install scipy:

pip uninstall scipy
pip install scipy

Answer 2

download microsoft visual c++ distribution

link : https://www.microsoft.com/en-in/download/details.aspx?id=53840

vc_redist.x64.exe

install and run this .exe file in your computer.. the DLL import module error will not appear after this

now it will work fine enjoy :)

Answer 3

I struggled trying to figure this one out; tried to download and install the (unofficial) Numpy+MKL library from the website (risky/tedious?).

Ultimately found success by:

1. Login to command prompt using admin rights; how to here: https://superuser.com/questions/968214/open-cmd-as-admin-with-windowsr-shortcut

2. Uninstall existing/tangled version of Scipy & Numpy pip uninstall scipy pip uninstall numpy

3. Fresh install Scipy & Numpy pip install scipy pip install numpy

4. Run Jupyter notebook; it worked for me.

The message ImportError: DLL load failed: The specified module could not be found informs that there is failure to identify and source the required DLL(s) to use the scikit-learn library; a fresh install of scipy/numpy probably enables a better routing of DLL connections called from Jupyter notebook code(s).

Answer 4

For me what fixed it were these commands:

pip uninstall sklearn
pip uninstall scikit-learn
pip uninstall scipy
pip install scipy
pip install scikit-learnhere

Answer 5

I had the same issue and solved it by installing/updating the mkl package:

conda install mkl

or

pip install mkl

Just for full information, this also downgraded the following packages:

The following packages will be UPDATED:

mkl:          2017.0.4-h6d528fc_0 defaults --> 2018.0.3-1         defaults

The following packages will be DOWNGRADED:

numpy:        1.11.3-py34_0       defaults --> 1.10.1-py34_0      defaults
pandas:       0.19.2-np111py34_1  defaults --> 0.18.1-np110py34_0 defaults
scikit-learn: 0.18.1-np111py34_1  defaults --> 0.17-np110py34_1   defaults
scipy:        0.19.1-np111py34_0  defaults --> 0.16.0-np110py34_0 defaults

Answer 6

You probably don't use Numpy+MKL, but only Numpy.

I had the same problem and reinstalling Numpy with MKL

pip install --upgrade --force-reinstall "numpy‑1.16.3+mkl‑cp37‑cp37m‑win32.whl"

fixed it.

Note: update the file to the latest version, possibly 64bit - see the list of available Windows binaries