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 02:05:03 2025 |
| md5 checksum | 510a96692131196a34c55cd8dcab8986 |
| arch | x86_64 |
| build | r35h06a4308_2 |
| build_number | 2 |
| depends | r-base >=3.5,<3.6.0a0, r-xgboost 1.5.0 r35h2c33d7e_2 |
| license | Apache-2.0 |
| md5 | 510a96692131196a34c55cd8dcab8986 |
| name | r-xgboost-cpu |
| platform | linux |
| sha1 | a3ad2229d67683affba3255fbd45a6b0305e1a23 |
| sha256 | a2d3378fe47de7dc020421e036ffe86da3b79e1173b81277e7c01795d5204f8e |
| size | 15475 |
| subdir | linux-64 |
| timestamp | 1659549549730 |
| version | 1.5.0 |