xgboost-predictor-java 0.3.1+dfsg-2 source package in Ubuntu
Changelog
xgboost-predictor-java (0.3.1+dfsg-2) unstable; urgency=medium * Source-only upload to unstable -- Pierre Gruet <email address hidden> Thu, 07 Apr 2022 14:20:14 +0200
Upload details
- Uploaded by:
- Debian Deep Learning Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Deep Learning Team
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Oracular | release | universe | misc | |
Noble | release | universe | misc | |
Mantic | release | universe | misc | |
Lunar | release | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
xgboost-predictor-java_0.3.1+dfsg-2.dsc | 2.2 KiB | f2f4c027ba08e2f5fdb62ab51610a49266f6e931a0438ae0ecf4aa80e3f13771 |
xgboost-predictor-java_0.3.1+dfsg.orig.tar.xz | 616.0 KiB | c014eb0e233eaef8db113e5ccdedb5938e1f729ce2b83968ea9d3322e5e99f93 |
xgboost-predictor-java_0.3.1+dfsg-2.debian.tar.xz | 5.2 KiB | e7d678d96de7951f815c6eced309a6741675da059015a351082427df2ce7b237 |
No changes file available.
Binary packages built by this source
- libxgboost-predictor-java: Java implementation of XGBoost predictor for online prediction tasks
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.