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 01:02:13 2025 |
| md5 checksum | 4130540a667826fa59722313cb000905 |
| arch | x86_64 |
| build | py38h06a4308_0 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 1.7.6 h6a678d5_0, numpy, python >=3.8,<3.9.0a0, scikit-learn, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 4130540a667826fa59722313cb000905 |
| name | py-xgboost |
| platform | linux |
| sha1 | feaa60c944ceac0013eddf5fd01a889a07740c0c |
| sha256 | 734fa5f86d4fdb890cd765dd8603c3ff3630e30eef459a8c33e6d33c4db29f83 |
| size | 219232 |
| subdir | linux-64 |
| timestamp | 1712794892425 |
| version | 1.7.6 |