Hey guys,
I just wanted to quickly share how I was optimizing hyperparameters in XGBoost using bayes_opt.
It does a k-fold cross validation while optimizing for stable parameters.
Keep in mind that bayes_opt maximizes the objective function, so change all the required hardcoded values along those lines to fit your problem. It's pretty compact, so I thought I just leave it here for your convenience as a gist.
Cheers,
Thomas
