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[ 原始碼: xgboost  ]

套件: 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.

其他與 libxgboost0 有關的套件

  • 依賴
  • 推薦
  • 建議
  • dep: libc6 (>= 2.34)
    GNU C Library: Shared libraries
    同時作為一個虛擬套件由這些套件提供: 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

下載 libxgboost0

下載可用於所有硬體架構的
硬體架構 套件大小 安裝後大小 檔案
amd64 1,111.5 kB3307 kB [文件列表]
arm64 1,068.1 kB2815 kB [文件列表]
armhf 1,047.4 kB2638 kB [文件列表]
ppc64el 1,289.3 kB3667 kB [文件列表]