Ubuntu
xgboost package

xgboost 2.0.3-1build1 source package in Ubuntu

Changelog

xgboost (2.0.3-1build1) noble; urgency=medium

  * Rebuild against latest dmlc-core

 -- Jeremy Bícha <email address hidden>  Wed, 06 Mar 2024 19:45:31 -0500

Upload details

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

See full publishing history Publishing

Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
xgboost_2.0.3.orig.tar.gz 1.9 MiB 94e5deb27133459ec4172f3fed83971383366ad2a7d646b6f0b51f63484c5138
xgboost_2.0.3-1build1.debian.tar.xz 21.9 KiB 4b69850fa84c863322e8f201d568aca03efb593225244ff6530c9029b47aab9d
xgboost_2.0.3-1build1.dsc 2.2 KiB 081d918abafeff3d8c66ca0184e6e4a5bea3248b012af356ab17dda54f747dbd

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