Brian Williamson

Thanks for using the package! I'm unclear what you mean by "arbitrary prediction functions" -- the Super Learner does allow you to use a wide variety of candidate prediction functions...

Thanks for the MWE. I've just completed a patch that should solve your issue (on GitHub, not PyPI yet). Please let me know if you're still seeing problems!

I'm not getting that error when I use the latest version of the package on GitHub. Can you try updating vimpy using `python -m pip install git+https://github.com/bdwilliamson/vimpy.git@aef6b90dbaa77d9a9dce9a45b4786b37a294c36c` and re-running the...

Ok I've made the dtypes of the two the same (should both be float64). I've also bumped the version number to 2.1.1, so you should be able to confirm that...

Thank you for your help finding these bugs! I really appreciate your patience. Just fixed that last bug as well, I'll try to get a release to PyPI soon.

Which function are you using? For both `vim` and `cv_vim`, you should be able to input a vector of indices to the argument `s`. For your example, if your predictors...

Not yet -- vimpy is unfortunately a bit behind vimp at the moment. I'll try to get to this sooner rather than later, but in the meantime if you want...