ImportError: cannot import name 'MultiOutputMixin' from 'sklearn.base'

Question

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)

score 16 · Answer 1 · answered Aug 21 '19 at 13:14

16

I have encountered a similar problem. I could solve by opening a new IPython console.

answered Aug 21 '19 at 13:14

AnandOCF

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2
9

1

it works on my computer, interesting that some library requires a restart to work and some not. – Luk Aron Dec 02 '19 at 08:32
2

For me also it worked. I stopped the jupyter notebook from cmd and restarted it. Thank you @AnandOCF! – Pulkit Ratna Ganjeer May 29 '22 at 12:18
And in my case, it was sufficient to restart the Python kernel used by the jupyter notebook (Kernel->Restart Kernel) – atsag Mar 03 '23 at 10:57

score 4 · Answer 2 · answered Jun 14 '19 at 06:01

4

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.

answered Jun 14 '19 at 06:01

Jasaz

91
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score 1 · Answer 3 · edited Mar 23 '20 at 12:54

1

!pip install scikit-learn==0.18.2 is the wrong advice.

You'll need scikit-learn version 0.22 or higher.

edited Mar 23 '20 at 12:54

Taazar

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answered Mar 23 '20 at 11:01

Gurunath Hari

11
1

score 1 · Answer 4 · answered May 16 '22 at 19:26

1

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.

answered May 16 '22 at 19:26

JustCoder

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score 0 · Answer 5 · answered Jul 21 '20 at 13:23

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

score 0 · Answer 6 · answered Oct 06 '21 at 09:15

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)

score 0 · Answer 7 · answered Nov 27 '22 at 00:42

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.

score -2 · Answer 8 · edited Dec 06 '19 at 09:18

-2

You can run the following command on your notebook to solve the issue:

!pip install scikit-learn==0.18.2

edited Dec 06 '19 at 09:18

Morne

1,623
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answered Dec 06 '19 at 08:34

PRINCE ARYA

1

While this command might solve the issue, can you add a short explanation as to what it does, and how it would solve the issue? This would help us understand why this is the solution and learn from it. – Plutian Dec 06 '19 at 08:56

ImportError: cannot import name 'MultiOutputMixin' from 'sklearn.base'

8 Answers8

Problem reasons

How to fix it

Linked