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 00:44:13 2025 |
| md5 checksum | ad9f2e459ae3df8674bb03d8e29d2b40 |
| arch | x86_64 |
| build | py312h06a4308_1 |
| build_number | 1 |
| depends | py-xgboost 2.0.3 py312h06a4308_1, python >=3.12,<3.13.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | ad9f2e459ae3df8674bb03d8e29d2b40 |
| name | xgboost |
| platform | linux |
| sha1 | 1a6286eb823e4bfdec2e160a4c3f53387e4b9686 |
| sha256 | 2cbd78b93146a9f3b19b621887684a436db1f145bfa80fbe8d691030fefd302f |
| size | 10704 |
| subdir | linux-64 |
| timestamp | 1728569452399 |
| version | 2.0.3 |