Kevin Sheppard
Kevin Sheppard
The obvious suggestion would be to use VAR not VARMAX. These are different implementations and VAR is much simpler and probably somewhat more robust.
This is a numpy issue. It uses subprocess to detect certain capabilities which is causing problems for you. Are you running in some nonstandard environment (e.g., a compiled executable?)
Yes, the monkey patch is new and due to breaks in some versions of pandas. What version of statsmodels are you using? What NumPy are you using?
I can't reproduce. On ubuntu: ```bash sudo apt update\nsudo apt install software-properties-common sudo add-apt-repository ppa:deadsnakes/ppa sudo apt update sudo apt install python3.9 python3.9-dev virtualenv sm-test --python=python3.9 source sm-test/bin/activate python -m...
Can you post the full traceback with the error details?
There is an easy fix. There is some testing code in tools that loads NumPy testing assert classes. Easy to refactor away from these imports.
One more thought. Is it possible to spit the pyodide install step from the test step. Would make it easier to maintain.
Thanks for the work. I'll get around to it next week.
I am away this week but will absolutely take a look when I'm back.
Going to merge this and we'll see if other changes are needed.