openboost
GPU-accelerated gradient boosting, written in Python.
Building Blocks
numba-cuda compiles Python to CUDA kernels.
The Problem
GBDT research is active:
- DART — dropout for trees
- NGBoost — probabilistic predictions
- GAMLSS — distributional regression
- GOSS — gradient-based sampling
- GBDT-PL — linear leaves
- Oblivious Trees — symmetric splits
OpenBoost lets you implement these in Python.
Goal
GPU GBDT core in Python. Extend it to build variants.
Install
pip install openboost
Status
WIP.
License
Apache-2.0
1 maintainer
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