Hello everyone.

I'm trying to code Bayesian Optimization by XGBoost(Python).

But i have no idea how to set ranges of hyperparameter

For example,

pbounds = {

'learning_rate': (min, max),

'max_depth': (min, max),

'n_estimators': (min, max))

Is there any academic way or method to set a min/max of hyperparameter?

Thanks for reading!