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[ Source: xgboost  ]

Package: xgboost (1.2.1-1)

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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.

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Architecture Package Size Installed Size Files
amd64 949.1 kB3,127.0 kB [list of files]
arm64 862.8 kB2,799.0 kB [list of files]
armel 787.0 kB2,578.0 kB [list of files]
armhf 782.9 kB1,850.0 kB [list of files]
i386 928.2 kB3,138.0 kB [list of files]
mips64el 885.2 kB3,853.0 kB [list of files]
mipsel 896.3 kB3,717.0 kB [list of files]
ppc64el 963.7 kB3,407.0 kB [list of files]
s390x 802.9 kB3,119.0 kB [list of files]