My pip has worked fine with my python 3 in the past and I have downloaded things such as pandas which all work fine in python. The problem I now encounter is any library I attempt to download using pip is not recognised by python. Here is how I have tried downloading skl.
pip install sklearn
pip3 install sklearn
When I input
pip list
or
pip3 list
Both list sklearn as being downloaded, however, when I go in python and input:
from sklearn import linear_model
I get the error
Traceback (most recent call last):
File "/Users/nicross/Desktop/RainDance/RainFaller.py",line 8, in <module>
from sklearn import linear_model
ModuleNotFoundError: No module named 'sklearn'
Any help solving this would be greatly appreciated.
python3 -m pip install sklearn
From the sklearn docs it looks like you might want to try:
pip install -U scikit-learn
(For more, try following the steps here: https://scikit-learn.org/stable/install.html and see if those fix it)
Related
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 am new to Python and I am trying to run a linear regression Python code, which I have downloaded.
My problem starts here
import pandas as pd
When I run the code, it tells me
Traceback (most recent call last):
File "E:\MACHINE LEARNING\linear regression tutorial\free_python_tips-main\free_python_tips-main\04_linear_regression\04_linear_regression.py", line 9, in <module>
import pandas as pd
ModuleNotFoundError: No module named 'pandas'
although this package is installed, in Anaconda as well.
How could I solve this?
go to your command prompt and type
pip install pandas
or if you are using anaconda then type
conda install pandas
you can refer these links for more details:
package installation with anaconda and
pandas documentation
and if you wanted to use Linear Regression then you need to install scikit learn
for pip
pip install -U scikit-learn
for anaconda
conda install -c conda-forge scikit-learn
then you need to import it in your code
from sklearn.linear_model import LinearRegression
Hope it solves your issue !!
I'm using a Mac. I have Anaconda installed. When I type import numpy or import matplotlib I don't run into any issues. The only issue I'm having is with sklearn.
I'm fairly new to CS/ DS. Any help/ tips is greatly appreciated.
I've tried uninstalling sklearn and reinstalling. I've pretty much tried every solution on StackOverflow. The only thing I haven't tried is reinstalling anaconda.
import sklearn
Traceback (most recent call last):
File "", line 1, in
import sklearn
ModuleNotFoundError: No module named 'sklearn'
I expect to get no result just like with matplotlib and numpy which means everything works, but in lieu of that I get that output.
Do you have sklearn installed? It should be in some requirement, but it seems that someone needs it as a dependency and does not find it.
pip freeze | grep sklearn
It will tell you if you have it installed.
Do you work in a virtualenv?
If you do not have it installed try to do it and if not, pass the traceback.
if you work on mac you can also try updating xcode and updating yourself pip
xcode-select --install
pip install --upgrade pip
I just want to do a linear regression with scikit-learn. When I try to import the linear model package the error message from the title appears.
I tried to follow the solution from a similar problem (link). The suggestion is basically to just get rid of the part of the code where it requests for the "MultipleOutputMixin" thingy.
When I do this, of course the MultiOuputMixin is no longer the problem, but it derives in an error at the line marked as 22 in the error message shown below.
Any ideas on what can I do to avoid the problem?
Thanks in advance for your help! :)
Python version = 3.70
scikit-learn verion = 0.21.2
This is what I'm doing:
from sklearn import linear_model
This is the error that I get:
ImportError Traceback (most recent call last)
<ipython-input-46-1c4d4ebecc3f> in <module>()
1 # Select a linear
----> 2 from sklearn import linear_model
C:\Users\Usuario\Anaconda3\lib\site-packages\sklearn\linear_model\__init__.py in <module>()
13
14 from .bayes import BayesianRidge, ARDRegression
---> 15 from .least_angle import (Lars, LassoLars, lars_path, lars_path_gram, LarsCV,
16 LassoLarsCV, LassoLarsIC)
17 from .coordinate_descent import (Lasso, ElasticNet, LassoCV, ElasticNetCV,
C:\Users\Usuario\Anaconda3\lib\site-packages\sklearn\linear_model\least_angle.py in <module>()
18
19 from .base import LinearModel
---> 20 from ..base import RegressorMixin, MultiOutputMixin
21 from ..utils import arrayfuncs, as_float_array, check_X_y
22 from ..model_selection import check_cv
ImportError: cannot import name 'MultiOutputMixin' from 'sklearn.base' (C:\Users\Usuario\Anaconda3\lib\site-packages\sklearn\base.py)
I have encountered a similar problem. I could solve by opening a new IPython console.
I don't think so it's a good idea to modify library related files without understanding it fully. I got this issue when I had updated scikit learn package. It worked after I launched a new shell.
!pip install scikit-learn==0.18.2 is the wrong advice.
You'll need scikit-learn version 0.22 or higher.
This was solved after shutting down the existing notebook and reopening it from home page. It may need a restart is what I got to know.
uninstall and install the imblearn again :
pip install imblearn
with the updated sklearn packages this worked for me.
From installation anacoda prompt:
Installing collected packages: imblearn, scikit-learn
Attempting uninstall: scikit-learn
Found existing installation: scikit-learn 0.20.3
Uninstalling scikit-learn-0.20.3:
Successfully uninstalled scikit-learn-0.20.3
Successfully installed imblearn-0.0 scikit-learn-0.23.1
Problem reasons
This issue occurs when you tried to install a new version of scikit-learn, I encountered the same issue while trying to install sklearn (1.0) while an old scikit-learn version (0.22.2) was installed.
I encountered this problem, because I had to update the version of sciki-learn on Colab and retrain my model to avoid some warnings with the production environment. The problem was as shown below:
UserWarning: Trying to unpickle estimator TfidfVectorizer from version 0.22.2.post1 when using version 1.0. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:
So, when I did this:
!pip install scikit-learn==1.0
I got the error below while importing the following libraries:
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn import metrics
This is the rrror:
ImportError: cannot import name '_OneToOneFeatureMixin' from 'sklearn.base' (/usr/local/lib/python3.7/dist-packages/sklearn/base.py)
How to fix it
This problem can be fixed by simply trying to restart the runtime environment, or open a new notebook (runtime env restart by default as mentioned by AnandOCF)
This worked for me.
Activate your conda env
conda activate 'your_env_name'
Install imblearn library using pip if you haven't
pip install imblearn
Again install imbalanced-learn library using conda
conda install -c conda-forge imbalanced-learn
Then, you should be able to import without any errors.
You can run the following command on your notebook to solve the issue:
!pip install scikit-learn==0.18.2
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