Bug#1008572: ITP: xgboost-predictor-java -- Java implementation of XGBoost predictor for online prediction tasks

[Pierre Gruet <pgt@debian.org>]

Package: wnpp
Severity: wishlist
Owner: Pierre Gruet <pgt@debian.org>
User: debian-science@lists.debian.org
Usertags: field..science
X-Debbugs-Cc: debian-devel@lists.debian.org, debian-science@lists.debian.org

* Package name    : xgboost-predictor-java
  Version         : 0.3.1
  Upstream Author : KOMIYA Atsushi
* URL             : https://github.com/komiya-atsushi/xgboost-predictor-java
* License         : Apache-2.0
  Programming Lang: Java
  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.

This is the Java implementation of XGBoost. Right now it is needed as a
dependency of gatk, but it should be useful more broadly for scientists or
people from machine learning.
It will be team-maintained in Debian Science team.