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 00:44:16 2025 |
| md5 checksum | dfc41a5b579c4eb4ea549f1c2d3f893f |
| arch | x86_64 |
| build | py310h06a4308_0 |
| depends | py-xgboost 1.5.1 py310h06a4308_0, python >=3.10,<3.11.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | dfc41a5b579c4eb4ea549f1c2d3f893f |
| name | xgboost |
| platform | linux |
| sha1 | f9e7e61cc6560868e1747d4dd5180604892abe7f |
| sha256 | 7db091df637d39c5d932f85e6bfa84ad4b9d7823800d206da41724364c035583 |
| size | 14396 |
| subdir | linux-64 |
| timestamp | 1675120221592 |
| version | 1.5.1 |