Fabio Sigrist

Thank you for this suggestion. The current implementation for non-Gaussian likelihoods (conditional data distribution) relies on the Laplace approximation, and three derivatives of the log-likelihood with respect to the parameter...

Thank you for your interest in GPBoost. I currently do not have time to work on this, but I will add it to the to-do list.

Unfortunately not. I don't have a Mac with an M1 chip, so I cannot investigate this. You might want to have a look at LightGBM and check whether they have...

@estsauver : Thanks a lot for the offer, much appreciated! Unfortunately, I currently do not have the time to work on this. If anybody could support me with this, it...

I have now tried installing the gpboost Python package on a M1 Mac mini on scaleway and it works without any problems for me both using clang or gcc after...

@estsauver : Thanks a lot! I don't have your email address. You can contact me on my public university email address.

Yes, this should be no problem as a macOS arm64 chip version is on CRAN. If you want to compile the library yourself, you can also do it. I had...

One possible explanation might be that the installation from source moved the package to another location than your conda environment. You might check in the installation messages where the package...

A macOS arm64 chip pre-compiled version is now on PyPI. You should now be able to install with `pip` on M1 / M2 Macs without any problems as compilation is...

There is a caveat: I have so far not managed to enable OpenMP support for the macOS arm64 version. I.e., things are not parallelized and might be considerably slower because...