Treelite 4.0.0 Release Candidate 1
Pre-release
Pre-release
We are excited to announce a Release Candidate for Treelite 4.0.
What's new
- Native support for multi-target models
- Complete support for XGBoost 2.0, including vector-leaf trees (
multi_strategy="multi_output_tree"
) - Greater variety of scikit-learn estimators, including
HistGradientBoostingRegressor
andHistGradientBoostingClassifier
. - Vector
base_scores
, to support boosting from the average - Brand-new model builder API with built-in model validation
- Ability to edit trees using field accessor API
Breaking change
- The compiler (C codegen) module has been removed from Treelite. You may use TL2cgen for equivalent functionalities. See the migration guide.
How to install and test Release Candidate
- Pip:
pip install treelite==4.0.0rc1
- Conda:
conda install -c conda-forge/label/treelite_rc treelite=4.0.0rc1
Full Changelog: 3.9.1...4.0.0rc1