I am trying to setup a project which reads EDF files, and for that I’ve decided to use mne. I also want to use pytorch, sklearn, and other packages in a single fresh conda environment so I could later easily contain the project in a docker container.
The problem is that most of the documentation has talked about creating new environments for MNE to work properly, and me using the conda commands I’ve linked here, has taken around 1 hour and I don’t think conda can solve the environment in any capacity.
Is there any advice about how to integrate mne in such a project? should I create a new environment for mne and switch between the two environments (this is needlessly complex and can introduce a lot of bugs imo).
- MNE-Python version: Not installed yet. Plan to install the latest released version: 0.23.4.
- operating system: Linux