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 02:05:02 2025 |
| md5 checksum | 516813634bcd945f9312016ed8d918d0 |
| arch | x86_64 |
| build | r35h06a4308_0 |
| depends | r-base >=3.5,<3.6.0a0, r-xgboost 1.7.3 r35h2c33d7e_0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 516813634bcd945f9312016ed8d918d0 |
| name | r-xgboost-cpu |
| platform | linux |
| sha1 | c297d6993688d071f3200e0d478d19d08a7fd607 |
| sha256 | 5b4fcf84dda337dc45a74883d6133747f1d82cbaec93a128093027d08909362a |
| size | 12672 |
| subdir | linux-64 |
| timestamp | 1675458328210 |
| version | 1.7.3 |