after importing and installing required packages and libraries I am encountering an import error on patch_sklearn().
from sklearnx import patch_sklearn()
patch_sklearn()
ImportError: cannot import name 'sparse_lsqr' from 'sklearn.utils.fixes' (C:\Users\yogis\AppData\Roaming\Python\Python38\site-packages\sklearn\utils\fixes.py)
Didn't know what you want to do here.
But you can try this:
from sklearn.feature_extraction.image import extract_patches_2d
You must install scikit learn version 1.0 and not 1.1
pip install scikit-learn==1.0
Then after this, restart kernel. If it doesn't work after this, I also had to force reinstall the other packages for conda.
conda install numpy scipy joblib scikit-learn --force-reinstall
and then restart kernel. It worked fine. This is a known bug and is fixed on pypi releases but not yet on conda.
I imported sklearn DecisionBoundaryDisplay via the below command in my Google Colab file.
from sklearn.inspection import DecisionBoundaryDisplay
And I'm getting the following error.
ImportError: cannot import name 'DecisionBoundaryDisplay' from 'sklearn.inspection'
I even installed the following packages & also tried by restarting my runtime but still I'm getting the error.
!pip install --upgrade scikit-learn
!pip install scipy
!pip3 install -U scikit-learn scipy matplotlib
How to fix this issue?
what worked for me was installing scikit learn 1.1.0, i had version 1.0.2 before and got the same error you're encountering.
pip install -U scikit-learn --user
Hope it helps.
It seems DecisionBoundaryDisplay is a new feature and it is currently in an unstable development version. To use it, you need to install the nightly build.
I want to import transformers in jupyter notebook but I get the following error. What is the reason for this error? My Python version is 3.8
ImportError: cannot import name 'TypeAlias' from 'typing_extensions'
I also updated the typing-extensions library version, but the problem was not resolved
You could try
pip install typing-extensions --upgrade
maybe the probelm is the version of datasets package:
pip install datasets==1.15
TypeAlias is available from python version 3.10.
You should upgrade your python version to avoid the error.
I am currentling trying to use a package I installed (stsynphot), but I have the following error when typing import stsynphot as stsyn
ImportError: Numpy version 1.9.0 or later must be installed to use Astropy
I was curious so just to try, I tried import astropy and of course had the same error.
Nevertheless, I do have numpy 1.14 installed, I have tried all the upgrade and reinstall procedures but I still have the issue.
Any ideas ?
Thanks !
Try this:
pip install --user astropy[all]
and for the stsynphot package follow these steps: https://stsynphot.readthedocs.io/en/latest/
On OS X 10.11.6 and python 2.7.10 I need to import from sklearn manifold.
I have numpy 1.8 Orc1, scipy .13 Ob1 and scikit-learn 0.17.1 installed.
I used pip to install sklearn(0.0), but when I try to import from sklearn manifold I get the following:
Traceback (most recent call last): File "", line 1, in
File
"/Library/Python/2.7/site-packages/sklearn/init.py", line 57, in
from .base import clone File
"/Library/Python/2.7/site-packages/sklearn/base.py", line 11, in
from .utils.fixes import signature File
"/Library/Python/2.7/site-packages/sklearn/utils/init.py", line
10, in from .murmurhash import murmurhash3_32 File
"numpy.pxd", line 155, in init sklearn.utils.murmurhash
(sklearn/utils/murmurhash.c:5029) ValueError: numpy.dtype has the
wrong size, try recompiling.
What is the difference between scikit-learn and sklearn? Also,
I cant import scikit-learn because of a syntax error
Regarding the difference sklearn vs. scikit-learn:
The package "scikit-learn" is recommended to be installed using pip install scikit-learn but in your code imported using import sklearn.
A bit confusing, because you can also do pip install sklearn and will end up with the same scikit-learn package installed, because there is a "dummy" pypi package sklearn which will install scikit-learn for you.
From this thread:
scikit-learn is in install_requires of sklearn setup.py so you do
end-up with scikit-learn installed
So:
At the end, pip install sklearn or pip install scikit-learn ---
apart from the annoying sklearn (0.0) showed in the pip list ---
will install the latest available build from PyPI.
You might need to reinstall numpy. It doesn't seem to have been installed correctly.
sklearn is how you type the scikit-learn name in python (only the latter should be installed, the former is now deprecated).
Also, try running the standard tests in scikit-learn and check the output. You will have detailed error information there.
As a side note, do you have nosetests installed? Try: nosetests -v sklearn. You type this in bash, not in the python interpreter.
As of Dec. 1, 2022 you have to use scikit-learn in pip requirements files as pip install sklearn is now deprecated.
source: https://github.com/scikit-learn/sklearn-pypi-package
The 'sklearn' PyPI package is deprecated, use 'scikit-learn'
rather than 'sklearn' for pip commands.
Hereafter sklearn won't available for pip install from the latest versions. So it is better to start scikit-learn
Reason for the deprecation:
sklearn package on PyPI exists to prevent malicious actors from using the sklearn package, since sklearn (the import name) and scikit-learn (the project name) are sometimes used interchangeably. scikit-learn is the actual package name and should be used with pip
Please check this link for further info
I got the same problem when uploading my project on Google Cloud. The error log said
File "/usr/local/lib/python3.8/site-packages/gunicorn/arbiter.py"
.......ModuleNotFoundError: No module named 'sklearn'
The solution as said above worked.
Changed 'sklearn' to 'scikit-learn' in my requirements.txt