At this point, even though I can get pymc to install (with the C-API warning) on Base Python 3.0 image, I am intimidated by Sagemaker’s other requirements to automate projects. For example, to run in a scheduled mode I need to define a custom image and use it for every spin up. I am scared I’ll spend a bunch of time on that without a pay off.
So, I think I am pivoting my project to my personal ECS machine, which lets me create a nice fixed conda env, and where I can import pymc without any of the warnings.
I expect to return to Sagemaker in the future and try again! Would love to continue troubleshooting in parallel if anyone has more suggestions.