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 23:44:10 2025 |
| md5 checksum | 6e0e825a668992a0dde11c06c541f012 |
| arch | x86_64 |
| build | h6a678d5_0 |
| depends | _openmp_mutex |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 6e0e825a668992a0dde11c06c541f012 |
| name | libxgboost |
| platform | linux |
| sha1 | 6ab42ad382f769643d64a96a569dd9027ad55ed4 |
| sha256 | 8f6f3062c776b482be10db0ac69850f799df715a697519c12a12da68d975c7c3 |
| size | 4058916 |
| subdir | linux-64 |
| timestamp | 1675458035048 |
| version | 1.7.3 |