Difference between scikit-learn and sklearn (now deprecated)
Question:
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
Answers:
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.
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.
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
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
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
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.
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 sklearnorpip install scikit-learn—
apart from the annoyingsklearn (0.0)showed in thepip list—
will install the latest available build from PyPI.
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
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