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[ Source: xgboost  ]

Package: libxgboost0 (2.1.2-1 and others)

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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.

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Download for all available architectures
Architecture Version Package Size Installed Size Files
alpha (unofficial port) 2.1.2-1 1,915.1 kB8,421.0 kB [list of files]
amd64 2.1.2-1 1,951.3 kB8,388.0 kB [list of files]
arm64 2.1.2-1 1,678.1 kB7,064.0 kB [list of files]
armel 2.1.2-1 1,633.8 kB6,794.0 kB [list of files]
armhf 2.1.2-1 1,579.0 kB4,862.0 kB [list of files]
hppa (unofficial port) 2.1.2-1 1,950.8 kB8,652.0 kB [list of files]
i386 2.1.2-1 1,854.6 kB7,907.0 kB [list of files]
ia64 (unofficial port) 2.0.3-1+b1 2,440.7 kB15,533.0 kB [list of files]
m68k (unofficial port) 2.1.2-1 1,620.3 kB7,294.0 kB [list of files]
mips64el 2.1.2-1 1,639.6 kB8,362.0 kB [list of files]
ppc64 (unofficial port) 2.1.2-1 1,794.8 kB8,664.0 kB [list of files]
ppc64el 2.1.2-1 1,845.1 kB8,344.0 kB [list of files]
riscv64 2.1.2-1 2,014.1 kB6,512.0 kB [list of files]
s390x 2.1.2-1 1,536.1 kB7,920.0 kB [list of files]
sh4 (unofficial port) 2.1.2-1 2,207.2 kB6,683.0 kB [list of files]
sparc64 (unofficial port) 2.1.2-1 1,529.6 kB7,212.0 kB [list of files]
x32 (unofficial port) 2.1.2-1 1,988.3 kB8,051.0 kB [list of files]