jupyter using wrong sklearn
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
asked Jan 25 at 14:49
FrancescoLSFrancescoLS
13
add a comment |
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
asked Jan 25 at 14:49
FrancescoLSFrancescoLS
13
add a comment |
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
asked Jan 25 at 14:49
FrancescoLSFrancescoLS
13
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
asked Jan 25 at 14:49
FrancescoLSFrancescoLS
13
asked Jan 25 at 14:49
FrancescoLSFrancescoLS
13
asked Jan 25 at 14:49
FrancescoLSFrancescoLS
13
asked Jan 25 at 14:49
FrancescoLSFrancescoLS
13
asked Jan 25 at 14:49
FrancescoLSFrancescoLS
13
13
add a comment |
add a comment |
1 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.
answered Jan 25 at 15:42
FrancescoLSFrancescoLS
13
add a comment |
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1 Answer
1
active
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votes
1 Answer
1
active
oldest
votes
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oldest
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oldest
votes
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.
answered Jan 25 at 15:42
FrancescoLSFrancescoLS
13
add a comment |
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.
answered Jan 25 at 15:42
FrancescoLSFrancescoLS
13
add a comment |
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.
answered Jan 25 at 15:42
FrancescoLSFrancescoLS
13
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.
answered Jan 25 at 15:42
FrancescoLSFrancescoLS
13
answered Jan 25 at 15:42
FrancescoLSFrancescoLS
13
answered Jan 25 at 15:42
FrancescoLSFrancescoLS
13
answered Jan 25 at 15:42
FrancescoLSFrancescoLS
13
13
add a comment |
add a comment |
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