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 | 1cf96af078d17f8002246350f3b5e415 |
| arch | x86_64 |
| build | r35h06a4308_0 |
| depends | r-base >=3.5,<3.6.0a0, r-xgboost 1.5.1 r35h2a55022_0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 1cf96af078d17f8002246350f3b5e415 |
| name | r-xgboost-cpu |
| platform | linux |
| sha1 | 37133768e9eda97d955034aa2a905cf21772f8f8 |
| sha256 | 0a3f68d4765c379aa61d5974267ba6d9acf480ad3fc6d7e89403a069715b1d69 |
| size | 14873 |
| subdir | linux-64 |
| timestamp | 1675120198168 |
| version | 1.5.1 |