Ubuntu
xgboost package

xgboost 1.7.6-1 source package in Ubuntu

Changelog

xgboost (1.7.6-1) unstable; urgency=medium

  * New upstream version 1.7.6
  * Add code for the CUDA build in comments for d/{control,rules}
    + Use the correct compiler for CUDA build.
    + Embed gputreeshap (header only lib)
    + Use sed to patch the gputreeshap cmake file
  * Refresh lintian overrides.

 -- Mo Zhou <email address hidden>  Sun, 16 Jul 2023 23:56:48 -0700

Upload details

Uploaded by:
Debian Deep Learning Team
Uploaded to:
Sid
Original maintainer:
Debian Deep Learning Team
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Mantic release universe misc

Downloads

File Size SHA-256 Checksum
xgboost_1.7.6-1.dsc 2.1 KiB 80d025c878c54302d8a4952c410159641ee0997a3f9c6d4483961a279cf59fd4
xgboost_1.7.6.orig.tar.gz 1.8 MiB 20acbdc04e5c724884788a51abbc400fc0d8497ae6cb5b404fef4e0d32fe1a0e
xgboost_1.7.6-1.debian.tar.xz 22.0 KiB 4f5f74681ed5327b9cbe1640831032d16ca4df926a9ddcf9b59753423e2772c0

Available diffs

No changes file available.

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