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
Upload details
- Uploaded by:
- William Grant
- Uploaded to:
- Noble
- Original maintainer:
- Ubuntu Developers
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | 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
- diff from 2.0.3-1build1 to 2.0.3-1build2 (564 bytes)
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