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 02:04:56 2025 |
| md5 checksum | a77f3c596ebf7c9768296d28ac4d8273 |
| arch | x86_64 |
| build | r35h2c33d7e_0 |
| depends | _openmp_mutex, _r-xgboost-mutex 2.0 cpu_0, libxgboost 1.7.3 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 | a77f3c596ebf7c9768296d28ac4d8273 |
| name | r-xgboost |
| platform | linux |
| sha1 | 42874c71d4281d5b434708635b5aa04b2c4b2ffd |
| sha256 | ec15380b7ec174cd284893b993c2af4bbc57f0da62a7274352cbf6720198a058 |
| size | 1929508 |
| subdir | linux-64 |
| timestamp | 1675458299455 |
| version | 1.7.3 |