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 23:44:11 2025 |
| md5 checksum | 9cf9392776707fe8c8a20a0bb266346c |
| arch | x86_64 |
| build | h6a678d5_2 |
| build_number | 2 |
| depends | _openmp_mutex, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 9cf9392776707fe8c8a20a0bb266346c |
| name | libxgboost |
| platform | linux |
| sha1 | 40282d2a1df37f235a69bd8a47c7038430251fd7 |
| sha256 | c9398f283117104a7296f8ef790bc02a4c4fe527d62e28bc54ef48e3319f9c86 |
| size | 3368042 |
| subdir | linux-64 |
| timestamp | 1721080208652 |
| version | 1.5.1 |