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 | Mon Mar 31 01:02:17 2025 |
| md5 checksum | fc6b814d9c9d980b761d7e4bfed6f348 |
| arch | x86_64 |
| build | py311h06a4308_2 |
| build_number | 2 |
| depends | _py-xgboost-mutex 2.0 cpu_2, libxgboost 1.5.1 h6a678d5_2, numpy <2.0a0, python >=3.11,<3.12.0a0, scikit-learn, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | fc6b814d9c9d980b761d7e4bfed6f348 |
| name | py-xgboost |
| platform | linux |
| sha1 | 7ca5327bf76dd050e38519ea51a6c98ab0115b16 |
| sha256 | 4931eb4e906068322f61bc7094e2fa4e5a3a80742ef8014026ce9f91718ef4fc |
| size | 233244 |
| subdir | linux-64 |
| timestamp | 1721080255739 |
| version | 1.5.1 |