i have installed scikit-learn using pip command, however while trying to import module of sklearn in Jupiter notebook as well as in PYCHARM, i continuously get following error. I am working in python3.9. I am new to the interface, so it is requested to suggest solution for this issue.
ImportError Traceback (most recent call last)
in
----> 1 import sklearn.linear_model as lm
/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/init.py in
79 # it and importing it first would fail if the OpenMP dll cannot be found.
80 from . import _distributor_init # noqa: F401
---> 81 from . import __check_build # noqa: F401
82 from .base import clone
83 from .utils._show_versions import show_versions
/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/__check_build/init.py in
44 from ._check_build import check_build # noqa
45 except ImportError as e:
---> 46 raise_build_error(e)
/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/__check_build/init.py in raise_build_error(e)
29 else:
30 dir_content.append(filename + '\n')
---> 31 raise ImportError("""%s
32 ___________________________________________________________________________
33 Contents of %s:
ImportError: dlopen(/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/__check_build/_check_build.cpython-39-darwin.so, 2): Symbol not found: ____chkstk_darwin
Referenced from: /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/__check_build/../.dylibs/libomp.dylib
Expected in: /usr/lib/libSystem.B.dylib
in /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/__check_build/../.dylibs/libomp.dylib
Contents of /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/__check_build:
init.py pycache _check_build.cpython-39-darwin.so
setup.py
It seems that scikit-learn has not been built correctly.
If you have installed scikit-learn from source, please do not forget
to build the package before using it: run python setup.py install or
make in the source directory.
If you have used an installer, please check that it is suited for your
Python version, your operating system and your platform
thanks
As you can see in this bug report, the new sklearn version 0.24 crashes on MacOS<10.15 systems.
Until this bug is fixed, the developers suggest installing the previous version using pip install -U scikit-learn==0.23.
Related
System specifications:
Python==3.8.5
tensorflow==2.3.1
I am trying to import tensorflow... but I am getting import error. Please help me rectify the problem. I tried following...
pip uninstall tensorflow
and
pip install tensorflow
When I execute pip freeze I see the installed tensorflow package with specified version.
Error Message:
ImportError Traceback (most recent call last)
~\anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py in <module>
63 try:
---> 64 from tensorflow.python._pywrap_tensorflow_internal import *
65 # This try catch logic is because there is no bazel equivalent for py_extension.
ImportError: DLL load failed while importing _pywrap_tensorflow_internal: The specified module could not be found.
During handling of the above exception, another exception occurred:
ImportError Traceback (most recent call last)
<ipython-input-1-d6579f534729> in <module>
----> 1 import tensorflow
~\anaconda3\lib\site-packages\tensorflow\__init__.py in <module>
39 import sys as _sys
40
---> 41 from tensorflow.python.tools import module_util as _module_util
42 from tensorflow.python.util.lazy_loader import LazyLoader as _LazyLoader
43
~\anaconda3\lib\site-packages\tensorflow\python\__init__.py in <module>
38 # pylint: disable=wildcard-import,g-bad-import-order,g-import-not-at-top
39
---> 40 from tensorflow.python.eager import context
41
42 # pylint: enable=wildcard-import
~\anaconda3\lib\site-packages\tensorflow\python\eager\context.py in <module>
33 from tensorflow.core.protobuf import config_pb2
34 from tensorflow.core.protobuf import rewriter_config_pb2
---> 35 from tensorflow.python import pywrap_tfe
36 from tensorflow.python import tf2
37 from tensorflow.python.client import pywrap_tf_session
~\anaconda3\lib\site-packages\tensorflow\python\pywrap_tfe.py in <module>
26
27 # pylint: disable=invalid-import-order,g-bad-import-order, wildcard-import, unused-import
---> 28 from tensorflow.python import pywrap_tensorflow
29 from tensorflow.python._pywrap_tfe import *
~\anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py in <module>
81 for some common reasons and solutions. Include the entire stack trace
82 above this error message when asking for help.""" % traceback.format_exc()
---> 83 raise ImportError(msg)
84
85 # pylint: enable=wildcard-import,g-import-not-at-top,unused-import,line-too-long
ImportError: Traceback (most recent call last):
File "C:\Users\user\anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 64, in <module>
from tensorflow.python._pywrap_tensorflow_internal import *
ImportError: DLL load failed while importing _pywrap_tensorflow_internal: The specified module could not be found.
Failed to load the native TensorFlow runtime.
See https://www.tensorflow.org/install/errors
for some common reasons and solutions. Include the entire stack trace
above this error message when asking for help.```
Use Anaconda to install Tensorflow,
Create separate environment for Tensorflow with Python 3.8
conda create --name tf python=3.8 tensorflow
conda activate tf
I accidentally deleted this file. Uninstalling TensorFlow like pip uninstall tensorflow==2.3.0 and installing it again pip install tensorflow==2.3.0 resolved the issue. Dont forget to restart the kernal
Adding my workaround/hack (TF 2.5.0), in case it helps someone:
In my case I already had a dozen of Visual C++ Redistributables installed ('05, '08, ... all the way to 2017) - but TF was still failing with the infamous ImportError: DLL load failed while importing _pywrap_tensorflow_internal: The specified module could not be found error. I didn't want to download and install another redistributable, just to get TF working. (Besides, I had already run into several posts, enough to raise doubt whether installing it would actually resolve the problem.)
According to this SO post, the offending failing _pywrap_tensorflow_internal.pyd is just another DLL; so I
downloaded (just 468 KB) and ran Dependency Walker to detect which DLLs were requested by above PYD.
in addition to the commonly mentioned vcruntime140.dll, the PYD was also depending on a vcruntime140_1.dll.
vcruntime140.dll was available in C:/Windows/System32/ (checked using where vcruntime140.dll), but not vcruntime140_1.dll; so I ran a search on my system partition C: and found several copies of vcruntime140_1.dll at other places, mainly in my home dir's AppData/Local/ (user-installed apps).
Almost all these apps were "trusted" ones (WhatsApp, MS Teams, ...) so I just copied vcruntime140_1.dll from one of them into C:/Windows/System32/ - and the error went away.
So if you get this error even when all documented requirements are fulfilled, do a bit of debugging to find the cause of the error. It will probably save you a good deal of frustration and wasted bandwidth.
I've recently had to do a reformat of my work computer, and am reinstalling Anaconda. I generally keep Anaconda's root (base) folder untouched, and create separate environments when I need to work with specialist Python modules instead of cluttering the (base) environment.
In the past, I was able to successfully run these different environments from the Jupyter Notebook installed in the (base) environment. I would go about doing so by installing ipykernel in the new environment (e.g. my-env), and then running the following commands:
(base) activate my-env
(my-env) conda install ipykernel
(my-env) python -m ipykernel install --name "my-env" --display-name "My Python"
This would be done successfully, and give me the following message:
Installed kernelspec my-env in C:\ProgramData\jupyter\kernels\my-env
However, when I tried testing out the link in Jupyter Notebook using a standard import matplotlib.pyplot as plt command, I get the following error message:
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-1-a0d2faabd9e9> in <module>
----> 1 import matplotlib.pyplot as plt
C:\Anaconda3\envs\my-env\lib\site-packages\matplotlib\__init__.py in <module>
105 # cbook must import matplotlib only within function
106 # definitions, so it is safe to import from it here.
--> 107 from . import cbook, rcsetup
108 from matplotlib.cbook import MatplotlibDeprecationWarning, sanitize_sequence
109 from matplotlib.cbook import mplDeprecation # deprecated
C:\Anaconda3\envs\my-env\lib\site-packages\matplotlib\cbook\__init__.py in <module>
26 import weakref
27
---> 28 import numpy as np
29
30 import matplotlib
C:\Anaconda3\envs\my-env\lib\site-packages\numpy\__init__.py in <module>
141 from .core import *
142 from . import compat
--> 143 from . import lib
144 # NOTE: to be revisited following future namespace cleanup.
145 # See gh-14454 and gh-15672 for discussion.
C:\Anaconda3\envs\my-env\lib\site-packages\numpy\lib\__init__.py in <module>
23 # Private submodules
24 from .type_check import *
---> 25 from .index_tricks import *
26 from .function_base import *
27 from .nanfunctions import *
C:\Anaconda3\envs\my-env\lib\site-packages\numpy\lib\index_tricks.py in <module>
9 from numpy.core.numerictypes import find_common_type, issubdtype
10
---> 11 import numpy.matrixlib as matrixlib
12 from .function_base import diff
13 from numpy.core.multiarray import ravel_multi_index, unravel_index
C:\Anaconda3\envs\my-env\lib\site-packages\numpy\matrixlib\__init__.py in <module>
2
3 """
----> 4 from .defmatrix import *
5
6 __all__ = defmatrix.__all__
C:\Anaconda3\envs\my-env\lib\site-packages\numpy\matrixlib\defmatrix.py in <module>
9 # While not in __all__, matrix_power used to be defined here, so we import
10 # it for backward compatibility.
---> 11 from numpy.linalg import matrix_power
12
13
C:\Anaconda3\envs\my-env\lib\site-packages\numpy\linalg\__init__.py in <module>
71 """
72 # To get sub-modules
---> 73 from .linalg import *
74
75 from numpy._pytesttester import PytestTester
C:\Anaconda3\envs\my-env\lib\site-packages\numpy\linalg\linalg.py in <module>
31 from numpy.core import overrides
32 from numpy.lib.twodim_base import triu, eye
---> 33 from numpy.linalg import lapack_lite, _umath_linalg
34
35
ImportError: DLL load failed: The specified module could not be found.
Could someone advise me on what might be the issue? If it helps, my (base) environment has a python version of 3.8.3 and a notebook version of 6.0.3, whereas my new my-env environment has modules downloaded from conda-forge. It has a python version of 3.7.8 and an ipykernel version of 5.3.4.
Thanks in advance!
UPDATE 26 Oct 2020
As requested, I have included the list of modules I have in both the (base) environment and the (my-env) environment. In general, the packages in (base) have been kept updated with respect to the anaconda module, whereas the packages in (my-env) are kept up-to-date with respect to hyperspy, which is stored in the conda-forge repository.
I have created PasteBin entries for them, as they exceed the character limit for this post.
Link to list of modules in (base)
Link to list of modules in (my-env)
I also tried importing modules other than matplotlib and numpy, and was able to import abc and time without issue, for example. This seems to be an issue with the (base) version of Jupyter Notebook not being compatible with the numpy found in the (my-env) environment.
The error message is indicating the error is arising from the numpy library. The fact that your Python and Ipkernel versions are different between your (base) and your (my-env) is further indication that there is incompatibility between your environments.
Can you provide the output from
conda list
from each environment?
When I tried to create a Python=3.8.3 environment the numpy version installed is numpy-1.19.2-py38hf89b668_1
I used the command
conda create -n foo -c conda-forge python=3.8.3 numpy
When I tried to create a Python=3.7.8 environment the numpy version installed is numpy-1.19.2-py37h7008fea_1
I used the command
conda create -n foo -c conda-forge python=3.7.8 numpy
In addition, why don't you consider installing ipkernel / jupyter notebook libraries that are consistent with respective versions of Python in each environment? This would always be the best solution to ensure dependencies are correctly aligned.
I also attempted to install ipykernel in both python=3.8.3 and python=3.7.8 along with ipykernel without specifying version number.
Here are the versions of ipykernel that condaautomatically chooses:
for python=3.8.3: ipykernel-5.3.4 | py38h1cdfbd6_1
for python=3.7.8: ipykernel-5.3.4 | py37hc6149b9_1
From what you have written your ipykernel versions are different. I do think this discrepancy is most likely coming from these differences of ipykernel versions
When you check your environments, verify that the channel source for ipykernel is the same.
One Solution: Consider downgrading the ipykernel in (base) to 5.3.4 version.
ModuleNotFoundError Traceback (most recent call last)
~\AppData\Roaming\Python\Python36\site-packages\sklearn\__check_build\__init__.py in <module>()
43 try:
---> 44 from ._check_build import check_build # noqa
45 except ImportError as e:
ModuleNotFoundError: No module named
'sklearn.__check_build._check_build'
During handling of the above exception, another exception occurred:
ImportError Traceback (most recent call last)
<ipython-input-1-f14d678f34eb> in <module>()
1 from keras.models import Sequential
2 from keras.layers import Dense, Dropout
----> 3 from sklearn.model_selection import train_test_split
4 import numpy
5 import pandas as pd
~\AppData\Roaming\Python\Python36\site-packages\sklearn\__init__.py in <module>()
61 # process, as it may not be compiled yet
62 else:
---> 63 from . import __check_build
64 from .base import clone
65 from .utils._show_versions import show_versions
~\AppData\Roaming\Python\Python36\site-packages\sklearn\__check_build\__init__.py in <module>()
44 from ._check_build import check_build # noqa
45 except ImportError as e:
---> 46 raise_build_error(e)
~\AppData\Roaming\Python\Python36\site-packages\sklearn\__check_build\__init__.py in raise_build_error(e)
39 to build the package before using it: run `python setup.py install` or
40 `make` in the source directory.
---> 41 %s""" % (e, local_dir, ''.join(dir_content).strip(), msg))
42
43 try:
ImportError: No module named 'sklearn.__check_build._check_build'
Contents of C:\Users\owaisaaa\AppData\Roaming\Python\Python36\site-packages\sklearn\__check_build:
setup.py _check_build.cp36-win32.pyd__init__.py
__pycache__
It seems that scikit-learn has not been built correctly.
If you have installed scikit-learn from source, please do not forget
to build the package before using it: run python setup.py install or
make in the source directory.
If you have used an installer, please check that it is suited for your
Python version, your operating system and your platform.
I recently used the pycharm on the same machine and downloaded the packages in it. From that moment onward I am getting the above mentioned error in my jupyter notebook.
Try installing scipy and restarting python shell
Upgrading scikit-learn worked for me:
$ pip install --upgrade scikit-learn
I installed pytorch using pip3 command for my windows pc without GPU support.
But when I tried to import torch it is giving an error.
At first, there was a different error saying numpy version not matching and I updated the numpy to the latest version.
import torch
RuntimeError Traceback (most recent call last)
<ipython-input-10-c031d3dd82fc> in <module>()
----> 1 import torch
C:\Users\iamuraptha\Anaconda3\lib\site-packages\torch\__init__.py in <module>()
82 pass
83
---> 84 from torch._C import *
85
86 __all__ += [name for name in dir(_C)
RuntimeError: generic_type: cannot initialize type "TensorProtoDataType": an object with that name is already defined
I reinstalled anaconda and then created a virtual environment for pytorch.Now everything works fine
If you are running this in colab, remember to restart your runtime after installing your modules with pip.
I installed the Networkit module with conda install -c vgauthier networkit. If I import it in a notebook (import networkit as nk) I get this error:
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-2-a4c0096fb06c> in <module>()
----> 1 import networkit as nk
//anaconda/envs/py36/lib/python3.6/site-packages/networkit/__init__.py in <module>()
41 # local imports
42 from . import stopwatch
---> 43 from . import graph
44 from . import graphio
45 from . import community
//anaconda/envs/py36/lib/python3.6/site-packages/networkit/graph.py in <module>()
1 # extension imports
----> 2 from _NetworKit import Graph, SpanningForest, GraphTools, RandomMaximumSpanningForest, UnionMaximumSpanningForest
ImportError: dlopen(//anaconda/envs/py36/lib/python3.6/site-packages/_NetworKit.cpython-36m-darwin.so, 2): Library not loaded: #rpath/libomp.dylib
Referenced from: //anaconda/envs/py36/lib/python3.6/site-packages/_NetworKit.cpython-36m-darwin.so
Reason: image not found
Anyone able to explain why?
I happened to have the same problem for networkit via pip. It is because the networkit installed by anaconda does not link to your gcc compiler correctly, a simple fix is to download the networkit's source code and run python3 setup.py install to install it.
I had the same problem:
https://github.com/kit-parco/networkit/issues/172
It's because of anaconda Python. Re-install it using:
conda install -c vgauthier networkit
installing it with conda instead of pip solved the problem for me. See instructions here.