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 | Tue Apr 1 00:44:14 2025 |
| md5 checksum | dad5e0b46160a7116dfeacf6898c3521 |
| arch | x86_64 |
| build | py311h06a4308_0 |
| depends | py-xgboost 1.7.6 py311h06a4308_0, python >=3.11,<3.12.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | dad5e0b46160a7116dfeacf6898c3521 |
| name | xgboost |
| platform | linux |
| sha1 | 8c43542072be34fdcba57fe27f1a38f3284591f4 |
| sha256 | 12d9a17c906a68f8ad5ea48db77db850eb621e7846c8b139944cbe01b69fa18d |
| size | 10456 |
| subdir | linux-64 |
| timestamp | 1712794961077 |
| version | 1.7.6 |