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 | eabbf63d9f03d4f41e978322ced11599 |
| arch | x86_64 |
| build | r35h06a4308_1 |
| build_number | 1 |
| depends | r-base >=3.5,<3.6.0a0, r-xgboost 1.5.0 r35hd872225_1 |
| license | Apache-2.0 |
| md5 | eabbf63d9f03d4f41e978322ced11599 |
| name | r-xgboost-cpu |
| platform | linux |
| sha1 | 83f99d41ece40ec6e2da02f10e20e519dab36c02 |
| sha256 | bfa43b0d88ca1c6c980a5d7d9fba0b0011ca33dfa537905388f99ee5226f1e67 |
| size | 14835 |
| subdir | linux-64 |
| timestamp | 1642516732707 |
| version | 1.5.0 |