jupyter using wrong sklearn












0















I am using jupyter lab (via conda), and I am using sklearn in my code. I figured out I had an older version of sklearn in my virtual environment (0.19.1) so I updated it (conda update scikit-learn) and I got version 0.20.2.



The problem is that jupyter is still loading the previous version:
if I open the pytho REPL from the terminal and type



import sklearn

sklearn.__version__


I get '0.20.2', but if I do the same in a cell of my notebook (started inside the same virtual environment), I get '0.19.1'.



How is this possible? Any hints on how to solve this?



Thanks!
Francesco






python jupyter







share|improve this question



























    0















    I am using jupyter lab (via conda), and I am using sklearn in my code. I figured out I had an older version of sklearn in my virtual environment (0.19.1) so I updated it (conda update scikit-learn) and I got version 0.20.2.



    The problem is that jupyter is still loading the previous version:
    if I open the pytho REPL from the terminal and type



    import sklearn
    
sklearn.__version__


    I get '0.20.2', but if I do the same in a cell of my notebook (started inside the same virtual environment), I get '0.19.1'.



    How is this possible? Any hints on how to solve this?



    Thanks!
    Francesco






    python jupyter







    share|improve this question

























      0












      0








      0








      I am using jupyter lab (via conda), and I am using sklearn in my code. I figured out I had an older version of sklearn in my virtual environment (0.19.1) so I updated it (conda update scikit-learn) and I got version 0.20.2.



      The problem is that jupyter is still loading the previous version:
      if I open the pytho REPL from the terminal and type



      import sklearn
      
sklearn.__version__


      I get '0.20.2', but if I do the same in a cell of my notebook (started inside the same virtual environment), I get '0.19.1'.



      How is this possible? Any hints on how to solve this?



      Thanks!
      Francesco






      python jupyter







      share|improve this question














      I am using jupyter lab (via conda), and I am using sklearn in my code. I figured out I had an older version of sklearn in my virtual environment (0.19.1) so I updated it (conda update scikit-learn) and I got version 0.20.2.



      The problem is that jupyter is still loading the previous version:
      if I open the pytho REPL from the terminal and type



      import sklearn
      
sklearn.__version__


      I get '0.20.2', but if I do the same in a cell of my notebook (started inside the same virtual environment), I get '0.19.1'.



      How is this possible? Any hints on how to solve this?



      Thanks!
      Francesco






      python jupyter




      python jupyter






      share|improve this question













      share|improve this question











      share|improve this question




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      asked Jan 25 at 14:49









      FrancescoLSFrancescoLS

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          Thanks to a friend I got what is the underlying problem and found the solution. In few words the problem is that jupyter is based on a kernel that is not made out of the installations I have in my virtual environment. I have to create a kernel based on the virtual env.



          Here is how to create a kernel.






          share|improve this answer























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            Thanks to a friend I got what is the underlying problem and found the solution. In few words the problem is that jupyter is based on a kernel that is not made out of the installations I have in my virtual environment. I have to create a kernel based on the virtual env.



            Here is how to create a kernel.






            share|improve this answer




























              0














              Thanks to a friend I got what is the underlying problem and found the solution. In few words the problem is that jupyter is based on a kernel that is not made out of the installations I have in my virtual environment. I have to create a kernel based on the virtual env.



              Here is how to create a kernel.






              share|improve this answer


























                0












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                0







                Thanks to a friend I got what is the underlying problem and found the solution. In few words the problem is that jupyter is based on a kernel that is not made out of the installations I have in my virtual environment. I have to create a kernel based on the virtual env.



                Here is how to create a kernel.






                share|improve this answer













                Thanks to a friend I got what is the underlying problem and found the solution. In few words the problem is that jupyter is based on a kernel that is not made out of the installations I have in my virtual environment. I have to create a kernel based on the virtual env.



                Here is how to create a kernel.







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Jan 25 at 15:42









                FrancescoLSFrancescoLS

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