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 01:02:29 2025 |
| md5 checksum | 3d0810cc0c1c738169dc2fb100f85cf2 |
| arch | x86_64 |
| build | py38h06a4308_0 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 1.3.3 h2531618_0, numpy, python >=3.8,<3.9.0a0, scikit-learn, scipy |
| license | Apache-2.0 |
| md5 | 3d0810cc0c1c738169dc2fb100f85cf2 |
| name | py-xgboost |
| platform | linux |
| sha1 | e20841f2cb03291a9955cc0477f1e0a8c36282cb |
| sha256 | 257d3a936c96512018076a3005e81ef6d3d4041eeca2802ca4b3c0771c09fd8d |
| size | 141065 |
| subdir | linux-64 |
| timestamp | 1619724770153 |
| version | 1.3.3 |