The C API contains a LGBM_BoosterMerge method. I can't find any examples of this being used (except the python library using it to copy an existing booster into an empty one), but I'm hoping it might be useful for handling ensembles of boosters trained on different data sets.
I'd imagine something in the form of pub fn merge_from(&mut self, other: &Booster), implemented on Booster, along with a unit test that trains two simple boosters, merges them and demonstrates the prediction of the merge.
The C API contains a LGBM_BoosterMerge method. I can't find any examples of this being used (except the python library using it to copy an existing booster into an empty one), but I'm hoping it might be useful for handling ensembles of boosters trained on different data sets.
I'd imagine something in the form of
pub fn merge_from(&mut self, other: &Booster), implemented onBooster, along with a unit test that trains two simple boosters, merges them and demonstrates the prediction of the merge.