xgboost 1.5.2-1 source package in Ubuntu
Changelog
xgboost (1.5.2-1) unstable; urgency=medium * New upstream version 1.5.2 * Bump Standards-Version to 4.6.0.1 (no change). -- Mo Zhou <email address hidden> Sat, 22 Jan 2022 20:33:35 -0500
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 | Published | Component | Section | |
|---|---|---|---|---|
| Jammy | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| xgboost_1.5.2-1.dsc | 2.1 KiB | ddf6d1cf6fcccb229dd281a1f77acd76ab1e2c40c0bd7d1ebb6eabbcdd84a487 |
| xgboost_1.5.2.orig.tar.gz | 1.6 MiB | d77c71aa125bd7292cd670e5a575850d48aba03d1b05d75d791f3580748b1b0e |
| xgboost_1.5.2-1.debian.tar.xz | 4.9 KiB | a944e1117b822dcf5120431783e0fc7da2c38a68a1d45ccc3a86f60d399d2540 |
Available diffs
- diff from 1.5.1-1 to 1.5.2-1 (9.2 KiB)
No changes file available.
Binary packages built by this source
- libxgboost-dev: No summary available for libxgboost-dev in ubuntu kinetic.
No description available for libxgboost-dev in ubuntu kinetic.
- 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: No summary available for libxgboost0-dbgsym in ubuntu kinetic.
No description available for libxgboost0-dbgsym in ubuntu kinetic.
- 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: No summary available for xgboost in ubuntu kinetic.
No description available for xgboost in ubuntu kinetic.
- xgboost-dbgsym: debug symbols for xgboost
