name: r-xgboost-cpu
description: 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.
license_spdx: Apache-2.0
version: 1.0.2
spec_version: 1.0
download_url: https://conda.anaconda.org/conda-forge/linux-64/r-xgboost-cpu-1.0.2-r35_0.tar.bz2
home_url: https://github.com/dmlc/xgboost
news_url: https://libraries.io/conda/r-xgboost-cpu/versions.atom
date: 2020-03-18
about_resource: NONE
libraries_io_url: https://libraries.io/conda/r-xgboost-cpu?number=1.0.2
vcs_tool: git
vcs_repository: https://github.com/dmlc/xgboost
vcs_branch: master
