hmm... try to run the trains-agent from the ml environment with "system_site_packages: true", it might do the trick. Anyhow please let me know if it worked 🙂

ok will report back

PompousParrot44 , so you mean like a base conda env?
Configuring trains-agent to use conda is done here:
https://github.com/allegroai/trains-agent/blob/699d13bbb34649c7e5337b4187cda59b7fa6fd33/docs/trains.conf#L44

Then for every experiment trains-agent will create a new conda environment based on the requirements of that experiment.
You can tell it to inherit the base conda env (or the one it is running from, I think) by setting
system_site_packages: truehttps://github.com/allegroai/trains-agent/blob/699d13bbb34649c7e5337b4187cda59b7fa6fd33/docs/trains.conf#L50

PompousParrot44
It should still create a new venv, but inherit the packages from the system-wide (or specific venv) installed packages. Meaning it will not reinstalled packages you already installed, but it will ive you the option of just replacing a specific package (or install a new one) without reinstalling the entire venv

i know it support conda.. but i have another system wide env which is not base .. say ml so wondering if i can comnfigure trains-agent to use that... not standard practice but just asking if it is possible

AgitatedDove14 no it doesn't work

Thanks!

it still tries to create a new env