I am reading a lot about the random forest regressor. I reading about bagging (bootstrap and aggregation) and random subspace. But I am not sure if the random forest regressor just using bagging or bagging and random subspace method. Because in some article the random subspace method seems like an alternative to the bagging method. I hope you understand my question and thank you for reading my question.
Most modern implementations do both, at least optionally.
xgboost's random forest has
sample_rate (and a couple modifiers).