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 00:44:12 2025 |
| md5 checksum | 54e6be7b602462ff6349ae9a02701136 |
| arch | x86_64 |
| build | py311h06a4308_1 |
| build_number | 1 |
| depends | py-xgboost 2.0.3 py311h06a4308_1, python >=3.11,<3.12.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 54e6be7b602462ff6349ae9a02701136 |
| name | xgboost |
| platform | linux |
| sha1 | 2e13e6c6a9514aff822cffe829576c746b5c112a |
| sha256 | 1769b1ef2d5fe5ff94ee8f63023cf7faff5b41d92310d3ae301bf6e04f232c68 |
| size | 10706 |
| subdir | linux-64 |
| timestamp | 1728569440415 |
| version | 2.0.3 |