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