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 | 8a134c3280ad07b0009ec47aaab0db26 |
| arch | x86_64 |
| build | h6a678d5_0 |
| depends | _openmp_mutex, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 8a134c3280ad07b0009ec47aaab0db26 |
| name | libxgboost |
| platform | linux |
| sha1 | d94d3c8f34a9fb69faccb429728e547a71ff1915 |
| sha256 | 3012231731207124a561e041a3e6d72292566789bde4b7d2368242536ecae19a |
| size | 4351697 |
| subdir | linux-64 |
| timestamp | 1712794865603 |
| version | 1.7.6 |