Sign up to take part
Registered users can ask their own questions, contribute to discussions, and be part of the Community!
Registered users can ask their own questions, contribute to discussions, and be part of the Community!
As per question, why the plugins dedicated environment can be defined only using python 2.7 as interpreter?
thank you
@Seymour93 just to caveat what Andrey mentioned. The order of actions should be:
- Create plugin.
- Add code env component to plugin. (do not create code-env itself)
- Modify file as Andrey indicated.
- Create code env from main plugin page selecting the desired Python version.
Hi @Seymour93 , you can change the required python version for the plugin in the
code-env/python/desc.json:
"acceptedPythonInterpreters": ["PYTHON36"]
The valid values are:
PYTHON27, PYTHON34, PYTHON35, PYTHON36
@Seymour93 just to caveat what Andrey mentioned. The order of actions should be:
- Create plugin.
- Add code env component to plugin. (do not create code-env itself)
- Modify file as Andrey indicated.
- Create code env from main plugin page selecting the desired Python version.
Could you please kindly explain where or how i can add code env component to H2O plugin?
I am using Dataiku free version, with docker on windows10. I installed H2O plugin. When I used H2O recipes to build model, it had error "Error Type". When I chose option "build missing packages and run recipes", there was no error but it did not save the model after training. Without a model, I could not go further to prediction step.
Thank you very much.
OK, I succeeded in creating python36 env for H2O plugin as @Andrey explained. But still no model was saved after training.