Package: python3-xgboost
Source: xgboost
Version: 3.0.4-1build1
Architecture: amd64
Architecture-Variant: amd64v3
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Installed-Size: 708
Depends: libxgboost0 (= 3.0.4-1build1), python3 (<< 3.15), python3 (>= 3.14~), python3-numpy, python3-scipy, python3:any
Suggests: python3-sklearn
Section: python
Priority: optional
Homepage: https://xgboost.ai/
Description: Scalable and Flexible Gradient Boosting (Python3)
 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. The same code runs on major distributed environment
 (Kubernetes, Hadoop, SGE, MPI, Dask) and can solve problems beyond billions of
 examples.
 .
 This package contains the xgboost python3 binding.
