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Package: xgboost (1.5.2-1)

Scalable and Flexible Gradient Boosting (Executable)

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 binary executable.

Other Packages Related to xgboost

  • depends
  • recommends
  • suggests
  • dep: libc6 (>= 2.34)
    GNU C Library: Shared libraries
    also a virtual package provided by libc6-udeb
  • dep: libdmlc0 (>= 0.5)
    Distributed Machine Learning Common Codebase (lib)
  • dep: libgcc-s1 (>= 3.3.1) [amd64, arm64]
    GCC support library
    dep: libgcc-s1 (>= 3.4.4) [ppc64el]
    dep: libgcc-s1 (>= 3.5) [armhf]
  • dep: libgomp1 (>= 6)
    GCC OpenMP (GOMP) support library
  • dep: libstdc++6 (>= 11)
    GNU Standard C++ Library v3
  • dep: libxgboost0 (= 1.5.2-1)
    Scalable and Flexible Gradient Boosting (Shared lib)

Download xgboost

Download for all available architectures
Architecture Package Size Installed Size Files
amd64 1,044.8 kB3024 kB [list of files]
arm64 1,010.5 kB2524 kB [list of files]
armhf 1,019.4 kB2287 kB [list of files]
ppc64el 1,250.0 kB3344 kB [list of files]