kmedved
kmedved
Would it be possible or sensible to add support for sample weights (at the observation level) to this package? Most scikit-learn estimators allow the user to pass a sample weight...
Is Bbopt compatible with Jupyter Notebooks? I'm trying to test it in Colab, but I'm having issues getting it to work outside of a .py format. Thanks for the help...
Thanks again for the wonderful package @roclark; I wanted to ask about the possibility of adding historic NBA salary information? I see how to access a player's current contract via...
Hello - thanks all for the very interesting looking package. The hierarchical shrinkage wrapper seems especially interesting/novel. I'm interested in whether it would be possible to add sample weight support...
First want to say thank you for the very interesting looking library. I've tried it briefly, and gotten very strong performance. I wanted to ask whether it would be possible...
Hello - thanks for the wonderful package. From the writeup and the description, it seems very promising. I wanted to check if GPBoost supports or will support sample weights? I...
This isn't really an issue, so much so as a comment/note that [Catboost has just added Cox/AFT loss to their package.](https://github.com/catboost/tutorials/blob/master/regression/survival.ipynb). It of course doesn't offer the wonderful other functionality...
I've noticed it takes several times longer for `xgbse` to score the models using the built-in scoring functions (`concordance_index`/`approx_brier_score`) than it takes for the models to fit. Is this typical/expected...
Hello - I'm a big fan of this package. It quickly matches the performance I get from much more complicated tuning approaches. However, I was wondering if it would be...
Hello - thanks again for the wonderful package. I wanted to ask whether it would make sense to adjust the current `.predict` API to mimic NGBoost's performance, of returning point...