xgboost 3.2.0

XGBoost Python Package

Stars: 28017, Watchers: 28017, Forks: 8841, Open Issues: 475

The dmlc/xgboost repo was created 12 years ago and the last code push was 21 hours ago.
The project is extremely popular with a mindblowing 28017 github stars!

How to Install xgboost

You can install xgboost using pip

pip install xgboost

or add it to a project with poetry

poetry add xgboost

Package Details

Author

None

License

Apache-2.0

Homepage

None

PyPi:

https://pypi.org/project/xgboost/

GitHub Repo:

https://github.com/dmlc/xgboost

Classifiers

Related Packages

Errors

A list of common xgboost errors.

Code Examples

Here are some xgboost code examples and snippets.

GitHub Issues

The xgboost package has 475 open issues on GitHub

• Move header files from include to src.
• [CI] Move some CI linting jobs to pre-commit
• [wip][ci] Use GA container and sccache.
• [ci] S3 bucket listing seems down.
• [RFC] Add interpretability API as xgboost.interpret module functions
• train on CUDA and load on CPU but got an EXC_BAD_ACCESS crash
• Add Python Android support
• [wip][mt] Add a getter for matrix info.
• [jvm-packages] Set GPU device id explicitly at very beginning for training
• [mt] Add missing CPU tests.
• [wip] Allow the device vector to shrink.
• Fix build with latest rmm.
• Add Booster.compute_leaf_similarity() method
• Find similar observations using leaf node matching
• [CI] Bump CUDA requirement to 12.9

See more issues on GitHub