Ubuntu
xgboost package

xgboost 2.1.0-1 source package in Ubuntu

Changelog

xgboost (2.1.0-1) unstable; urgency=medium

  * New upstream version 2.1.0
  * Rebase existing patches.
  * Requires dmlc-core >= 0.5+git20240614.1334185~ to build.
  * Remove binary package xgboost as this CLI is deprecated.

 -- Mo Zhou <email address hidden>  Mon, 15 Jul 2024 02:58:59 -0400

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
Oracular proposed universe misc

Downloads

File Size SHA-256 Checksum
xgboost_2.1.0-1.dsc 2.2 KiB 3a48f824718a20bd2314cb68ba2861bea3a842f624d7b2d20e5d97877e606e0f
xgboost_2.1.0.orig.tar.gz 2.0 MiB 380c66ac3611a9cc867d4f51aaa95bb8946f75a84e5a3f0a3f37b89a072e6f93
xgboost_2.1.0-1.debian.tar.xz 21.9 KiB afab539a157ff5ba84bfdc33eb198b21565c02748f0d9c5a637f4528f109c0db

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.