Python interface for the XGBoost library
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way.
- Website: https://xgboost.ai/
- Licenses: ASL 2.0
- Package source: gnu/packages/machine-learning.scm
- Builds: See build status
- Issues: See known issues
python-xgboost 1.5.2 as follows:
guix install firstname.lastname@example.org
Or install the latest version:
guix install python-xgboost
You can also install packages in augmented, pure or containerized environments for development or simply to try them out without polluting your user profile. See the
guix shell documentation for more information.