Bug#962129: ITP: xgboost -- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more
Owner: zhaofeng <firstname.lastname@example.org>
X-Debbugs-Cc: email@example.com, firstname.lastname@example.org
* Package name : xgboost
Version : 1.1.0
Upstream Author : <email@example.com>
* URL : http://www.xgboost.ai/
* License : Apache-2.0
Programming Lang: C++, Python
Description : Scalable, Portable and Distributed Gradient
Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++
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 (Hadoop, SGE, MPI) and can solve
problems beyond billions of examples.
XGBoost is useful in Data Science, Machine Learning and related area.
I suggest the package should be maintained within
DebianScience/Statistics if adopted and I am planning to package it.
Co-maintainers are welcome.