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train, __init__.py is present in the model root directory if you want to use kaos train deploy
serve, __init__.py, web-requirements.txt is present in the model root directory if you want to use kaos serve deploy
What is the desired change?
In order to have a clean environment a user could decide to move all of the necessary files (serve, __init__.py, web-requirements.txt, wigs.py, nginx.conf) to a separate directory and modify the Dockerfile to copy the content from that directory to the model root directory. An addition of the option -f to the cli that skips the project structure check would be required in this case.
How will this change improve kaos?
It will give more flexibility to users that know what they do.
Any thoughts on the implementation approach?
It seems doable to tell your algorithm to skip some checks if -f option is present.
The text was updated successfully, but these errors were encountered:
At the moment, kaos checks if:
train
,__init__.py
is present in the model root directory if you want to usekaos train deploy
serve
,__init__.py
,web-requirements.txt
is present in the model root directory if you want to usekaos serve deploy
What is the desired change?
In order to have a clean environment a user could decide to move all of the necessary files (
serve
,__init__.py
,web-requirements.txt
,wigs.py
,nginx.conf
) to a separate directory and modify theDockerfile
to copy the content from that directory to the model root directory. An addition of the option-f
to the cli that skips the project structure check would be required in this case.How will this change improve kaos?
It will give more flexibility to users that know what they do.
Any thoughts on the implementation approach?
It seems doable to tell your algorithm to skip some checks if
-f
option is present.The text was updated successfully, but these errors were encountered: