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Package: libxgboost0 (1.5.2-1)

Scalable and Flexible Gradient Boosting (Shared lib)

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 shared object.

Other Packages Related to libxgboost0

  • 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

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Download for all available architectures
Architecture Package Size Installed Size Files
amd64 1,111.5 kB3307 kB [list of files]
arm64 1,068.1 kB2815 kB [list of files]
armhf 1,047.4 kB2638 kB [list of files]
ppc64el 1,289.3 kB3667 kB [list of files]