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 01:02:15 2025 |
| md5 checksum | 9cc8beca797d8f32e3e341fa6f88611f |
| arch | x86_64 |
| build | py38h06a4308_0 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 1.7.3 h6a678d5_0, numpy, python >=3.8,<3.9.0a0, scikit-learn, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 9cc8beca797d8f32e3e341fa6f88611f |
| name | py-xgboost |
| platform | linux |
| sha1 | 5171c566230d6ff52185b16e868521d3ebcee894 |
| sha256 | cfc108354a18ef91965d964ccb9d90f92ace3349597299ec763fdc76494c1dd6 |
| size | 218168 |
| subdir | linux-64 |
| timestamp | 1675458768612 |
| version | 1.7.3 |