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.
| Uploaded | Mon Mar 31 02:04:57 2025 |
| md5 checksum | 658c5d45ed629a04b5d44bd2d830cdd7 |
| arch | x86_64 |
| build | r35h2a55022_0 |
| depends | _openmp_mutex, _r-xgboost-mutex 2.0 cpu_0, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, libxgboost 1.5.1 h6a678d5_0, r-base >=3.5,<3.6.0a0, r-data.table, r-jsonlite, r-magrittr, r-matrix |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 658c5d45ed629a04b5d44bd2d830cdd7 |
| name | r-xgboost |
| platform | linux |
| sha1 | 17125f5a451b75270c526151b58e9a240b538682 |
| sha256 | 15861655dda56d9e86acb58d69c9e91eb6229f278d96c53bed718e22119686e7 |
| size | 1528487 |
| subdir | linux-64 |
| timestamp | 1675120125000 |
| version | 1.5.1 |