xgboost 1.7.4-1 source package in Ubuntu
Changelog
xgboost (1.7.4-1) unstable; urgency=medium * New upstream version 1.7.4 -- Mo Zhou <email address hidden> Fri, 17 Feb 2023 16:32:40 -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 | |
|---|---|---|---|---|
| Lunar | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| xgboost_1.7.4-1.dsc | 2.1 KiB | a4e687e3a8e9c9aca4722e3ecc734cd8077a41dbfebfbeac6fb69cdf4290284b |
| xgboost_1.7.4.orig.tar.gz | 1.8 MiB | bedf9b61564c80f28a7ca8e74d71357539b6c81a0e5a548db10a48530a07424a |
| xgboost_1.7.4-1.debian.tar.xz | 5.3 KiB | a7060fbd1cb322d90d48f2ea0cf5697b30b75a6cbb52de4772f2508791b34f2e |
Available diffs
- diff from 1.7.3-1 to 1.7.4-1 (37.4 KiB)
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
