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 02:04:58 2025 |
| md5 checksum | 13dbff1ccd403d6fe592ce18ee9b5dba |
| arch | x86_64 |
| build | r35h2c33d7e_2 |
| build_number | 2 |
| depends | _openmp_mutex, _r-xgboost-mutex 2.0 cpu_0, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, libxgboost 1.5.0 h6a678d5_2, r-base >=3.5,<3.6.0a0, r-data.table, r-jsonlite, r-magrittr, r-matrix |
| license | Apache-2.0 |
| md5 | 13dbff1ccd403d6fe592ce18ee9b5dba |
| name | r-xgboost |
| platform | linux |
| sha1 | 704a1dd3fef2ce608a8c3e050f086f963a48be9a |
| sha256 | 8bd3efa9be18d23ea25b3baf018079c525646d8b4a092dd8c9e88235ad276184 |
| size | 1436592 |
| subdir | linux-64 |
| timestamp | 1659549472616 |
| version | 1.5.0 |