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 01:02:00 2025 |
| md5 checksum | 1462a4f60f7725b0ea6ef2fbbeafc69d |
| arch | x86_64 |
| build | py311h06a4308_0 |
| constrains | pandas >=1.2 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 2.1.1 h6a678d5_0, numpy, python >=3.11,<3.12.0a0, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 1462a4f60f7725b0ea6ef2fbbeafc69d |
| name | py-xgboost |
| platform | linux |
| sha1 | 86c2c5037ef258b6646cd348097b83ecb13b3bf7 |
| sha256 | 7d76348cf7301ffb8cc2213b2caa511cdd0371c1fce4643fb36ccdeb4e573d04 |
| size | 387283 |
| subdir | linux-64 |
| timestamp | 1724074015733 |
| version | 2.1.1 |