Package: libxgboost0 (1.2.1-1)

[ Source: xgboost  ]

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.

Other Packages Related to libxgboost0

• dep: libc6 (>= 2.29)

  GNU C Library: Shared libraries
  also a virtual package provided by libc6-udeb

• dep: libdmlc0 (>= 0.0~git20200912.bfad207)

  Distributed Machine Learning Common Codebase (dev)

• dep: libgcc-s1 (>= 3.0) [amd64, s390x]

  GCC support library

  dep: libgcc-s1 (>= 3.5) [armel, armhf]

  dep: libgcc-s1 (>= 4.2) [not amd64, armel, armhf, s390x]

• dep: libgomp1 (>= 6)

  GCC OpenMP (GOMP) support library

• dep: librabit0 (>= 0.0~git20200628.74bf00a)

  Reliable Allreduce and Broadcast Interface (libs)

• dep: libstdc++6 (>= 10.2) [armel]

  GNU Standard C++ Library v3

  dep: libstdc++6 (>= 9) [not armel]

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arm64	889.2 kB	3,118.0 kB	[list of files]
armel	821.4 kB	2,853.0 kB	[list of files]
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s390x	822.1 kB	3,386.0 kB	[list of files]