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 00:44:15 2025 |
| md5 checksum | e48e91c237d930a03196e47fea157779 |
| arch | x86_64 |
| build | py311h06a4308_0 |
| depends | py-xgboost 1.7.3 py311h06a4308_0, python >=3.11,<3.12.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | e48e91c237d930a03196e47fea157779 |
| name | xgboost |
| platform | linux |
| sha1 | 24aad359fe8ce0ca4a948882775349f6487dcec3 |
| sha256 | 0c892708800eedb623cb14587aff02f4f31d6838296874c7b57f703fcedb6702 |
| size | 12208 |
| subdir | linux-64 |
| timestamp | 1676922357173 |
| version | 1.7.3 |