Binary package “libxgboost-dev” in ubuntu oracular
Scalable and Flexible Gradient Boosting (Development)
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.
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This package contains the xgboost development files.
Source package
Published versions
- libxgboost-dev 2.0.3-1build2 in amd64 (Release)
- libxgboost-dev 2.1.0-1 in amd64 (Proposed)
- libxgboost-dev 2.0.3-1build2 in arm64 (Release)
- libxgboost-dev 2.1.0-1 in arm64 (Proposed)
- libxgboost-dev 2.0.3-1build2 in armhf (Release)
- libxgboost-dev 2.1.0-1 in armhf (Proposed)
- libxgboost-dev 2.0.3-1build2 in ppc64el (Release)
- libxgboost-dev 2.1.0-1 in ppc64el (Proposed)
- libxgboost-dev 2.0.3-1build2 in riscv64 (Release)
- libxgboost-dev 2.1.0-1 in riscv64 (Proposed)
- libxgboost-dev 2.0.3-1build2 in s390x (Release)
- libxgboost-dev 2.1.0-1 in s390x (Proposed)