Migrating from XGBoost
asheetal opened this issue · comments
I work with large datasets (often nested). My workflow uses
- GPU (most important)
- R (a matter of preference)
- Caret framework
- mlrMBO (for bayesian hyperparameter tuning)
- XGboost (for speed)
- DALEX (for model agnostic explanations)
However, I have now hit a bottleneck of nested data. Can someone guide me on a pathway to use GPBoost without overhauling most of my workflow?