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

["M. Zhou" <lumin@debian.org>]

Hi Pierre,

The original C++/Python implementation xgboost is maintained
by deep learning team:
https://salsa.debian.org/deeplearning-team/xgboost

I have assigned the whole debian science team with
maintainer access (max role) to deep learning team.
You may choose to maintain the package there
if you like.

This team is dedicated to hardware acceleration,
machine learning, and deep learning. See
debian-ai@lists.debian.org

On Mon, 2022-03-28 at 21:36 +0200, Pierre Gruet wrote:
> 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.
>