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xgboost package

xgboost 2.0.3-1build2 source package in Ubuntu

Changelog

xgboost (2.0.3-1build2) noble; urgency=medium

  * No-change rebuild for CVE-2024-3094

 -- William Grant <email address hidden>  Mon, 01 Apr 2024 15:47:23 +1100

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Uploaded by:
William Grant
Uploaded to:
Noble
Original maintainer:
Ubuntu Developers
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe misc
Noble release universe misc

Downloads

File Size SHA-256 Checksum
xgboost_2.0.3.orig.tar.gz 1.9 MiB 94e5deb27133459ec4172f3fed83971383366ad2a7d646b6f0b51f63484c5138
xgboost_2.0.3-1build2.debian.tar.xz 22.0 KiB a97ee73220cdc6e3050972123cbe6de1f167eb78058ab54dc04cd937c68dc95d
xgboost_2.0.3-1build2.dsc 2.3 KiB 40dd411c6ca6148e6cd3fc4fdca50abe457aa9beedd8200401c6c0006006cf20

Available diffs

View changes file

Binary packages built by this source

libxgboost-dev: Scalable and Flexible Gradient Boosting (Development)

 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 development files.

libxgboost0: 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.

libxgboost0-dbgsym: debug symbols for libxgboost0
python3-xgboost: Scalable and Flexible Gradient Boosting (Python3)

 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 python3 binding.

xgboost: 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.

xgboost-dbgsym: debug symbols for xgboost