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Source: xgboost-predictor-java
Section: science
Priority: optional
Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Uploaders: Pierre Gruet <pgt@debian.org>
Build-Depends: debhelper-compat (= 13),
default-jdk-headless,
gradle-debian-helper,
junit4 <!nocheck>,
libhamcrest-java <!nocheck>,
maven-repo-helper
Standards-Version: 4.6.0
Vcs-Browser: https://salsa.debian.org/deeplearning-team/xgboost-predictor-java
Vcs-Git: https://salsa.debian.org/deeplearning-team/xgboost-predictor-java.git
Homepage: https://github.com/komiya-atsushi/xgboost-predictor-java
Rules-Requires-Root: no
Package: libxgboost-predictor-java
Architecture: all
Depends: ${misc:Depends}
Description: 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.
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