using python virtual environments in Model Studio\VDMML

Ullsokk — Wed, 26 Aug 2020 11:30:55 GMT

Is there a way to use virutal environments in the Open Source Code node? We have anaconda installed, but will likely need to install some additional packages down the line. I would really prefer using virtual environments in stead of doing installs and updates on a single anaconda installation. I guess we could alternatively run

conda list --export > requirements.txt

to as a way to save the current working environment before installing or updating something. But I would guess VENV would be a bit easier to roll back if something goes wrong.

Is there some best practice for this in the Model Studio context?

Re: using python virtual environments in Model Studio\VDMML

RadhikhaMyneni — Thu, 27 Aug 2020 15:28:13 GMT

Currently the Open Source Code node in Model Studio does not have a way to invoke a specific virtual environment in the Python install but I do agree that it is useful and will try to look into adding in future release.

When the node executes, the Python executable configured is used to make a call similar to below code where <fileToRun> is constructed on the fly mostly using code from the node editor.

python <fileToRun>

topic using python virtual environments in Model Studio\VDMML in SAS Data Science

using python virtual environments in Model Studio\VDMML

Re: using python virtual environments in Model Studio\VDMML