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 | Sun Mar 30 23:44:09 2025 |
| md5 checksum | 4c320e3e9b77b9d60de7b0fc4709bb39 |
| arch | x86_64 |
| build | h6a678d5_1 |
| build_number | 1 |
| depends | _openmp_mutex, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 4c320e3e9b77b9d60de7b0fc4709bb39 |
| name | libxgboost |
| platform | linux |
| sha1 | b517fdd06dd0f6f92e3435fa575340aa6ca47ae9 |
| sha256 | 56c8785bbad1b98008a423993fa0339ce30dcbdd52ac4c13672ecd6eaf23f4c0 |
| size | 5867577 |
| subdir | linux-64 |
| timestamp | 1728569349501 |
| version | 2.0.3 |