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:

AttributeError: 'module' object has no attribute 'cluster'

Tab-completing in IPython, I seem to have access to the base, clone, externals, re, setup_module, sys, and warning modules. Nothing else, though others (including cluster) are in the sklearn directory.

Following pbu's advice below and using

from sklearn import cluster

I get:

Traceback (most recent call last):
  File "test.py", line 2, in <module>
    from sklearn import cluster
  File "C:\Python34\lib\site-packages\sklearn\cluster\__init__.py", line 6, in <module>
    from .spectral import spectral_clustering, SpectralClustering
  File "C:\Python34\lib\site-packages\sklearn\cluster\spectral.py", line 13, in <module>
    from ..utils import check_random_state, as_float_array
  File "C:\Python34\lib\site-packages\sklearn\utils\__init__.py", line 16, in <module>
    from .class_weight import compute_class_weight, compute_sample_weight
  File "C:\Python34\lib\site-packages\sklearn\utils\class_weight.py", line 7, in <module>
    from ..utils.fixes import in1d
  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'm using Python 3.4 on Windows, scikit-learn 0.16.1.

I don't understand, how do you import `sklearn`? – stellasia Jun 10 '15 at 20:16 — stellasia, Jun 10 '15 at 20:16
why dont you resinstall? may be sklearn is corrupt. – pbu Jun 12 '15 at 13:46 — pbu, Jun 12 '15 at 13:46

Jirka · Answer 1 · 2019-04-22T17:54:45.513

31

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

edited Apr 22 '19 at 17:54

answered Jan 03 '16 at 17:17

Jirka

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If you're running on 64-bit you can install Numpy + NKL from http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy – Philip Apr 14 '16 at 14:05

score 6 · Accepted Answer · answered Jun 16 '15 at 13:40

6

Problem was with scipy/numpy install. I'd been using the (normally excellent!) unofficial installers from http://www.lfd.uci.edu/~gohlke/pythonlibs/. Uninstall/re-install from there made no difference, but installing with the official installers (linked from http://www.scipy.org/install.html) did the trick.

answered Jun 16 '15 at 13:40

Jon Rein

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Numpy worked for me from http://www.lfd.uci.edu/~gohlke/pythonlibs/ but scipy was awkward and had to download the win32 superpack.exe from sourceforge. All working now though. Thanks Jon. – Oliver Burdekin Jan 12 '16 at 23:35

Ben · Answer 3 · 2017-12-16T07:40:51.087

I am using anaconda got the same error as the OP, when loading Orange, or PlotNine. I can't recall when this start to happen.

Tracing the dependency of Anaconda3\Lib\site-packages\scipy\special\_ufuncs.cp36-win32.pyd, libifcoremd.dll and libmmd.dll are missing in DependencyWalk. Searching them in anaconda root directry, they are located in both ICC_RT and one version of MKL package.

~~Adding Anaconda3\pkgs\mkl-2017.0.3-0\Library\bin to PATH, seems to fix SciPy and NumPy related DLL load failure, the above package starts to work again.~~

I still don't know how to fix this properly. Apparently the downside is that the MKL package could be updated and versions may change so does the path. In this aspect Its equally inconvenient as adding a non-managed package.

Reinstalling ICC_RT fixed the issue for me, libmmd.dll and the related dlls are automatically copied into anaconda3/library/bin afterwards, which is automatically added into PATH by activate command. All previous numpy/scipy related cant load DLL errors are gone now.

score 2 · Answer 4 · answered Dec 20 '17 at 10:47

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

score 0 · Answer 5 · answered Jun 10 '15 at 20:20

0

Place this line on top of the python file

from sklearn import cluster

That should do it :))

answered Jun 10 '15 at 20:20

pbu

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this generates a different error; see update to original post. – Jon Rein Jun 11 '15 at 12:56

score 0 · Answer 6 · answered May 21 '18 at 02:56

0

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

answered May 21 '18 at 02:56

Saeid Bagheri

161
1
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score 0 · Answer 7 · answered Jul 19 '18 at 11:57

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

score 0 · Answer 8 · answered Apr 22 '19 at 16:52

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:

Login to command prompt using admin rights; how to here: https://superuser.com/questions/968214/open-cmd-as-admin-with-windowsr-shortcut
Uninstall existing/tangled version of Scipy & Numpy pip uninstall scipy pip uninstall numpy
Fresh install Scipy & Numpy pip install scipy pip install numpy
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).

score 0 · Answer 9 · answered Dec 26 '19 at 08:08

0

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 :)

answered Dec 26 '19 at 08:08

Niwin

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This issue was reported 4 years ago while the issue with visual C++ is due to some openmp packaging and only valid for scikit-learn 0.22 – glemaitre Dec 26 '19 at 08:49

Error importing scikit-learn modules

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