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Paket: 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.

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  • dep: libc6 (>= 2.34)
    GNU C Library: Shared libraries
    auch ein virtuelles Paket, bereitgestellt durch libc6-udeb
  • dep: libdmlc0 (>= 0.5)
    Distributed Machine Learning Common Codebase (lib)
  • dep: libgcc-s1 (>= 3.5)
    GCC support library
  • 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)

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