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 23:44:12 2025 |
| md5 checksum | ef7ae22c0e376be9e8acc563a2cf66d3 |
| 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 |
| md5 | ef7ae22c0e376be9e8acc563a2cf66d3 |
| name | libxgboost |
| platform | linux |
| sha1 | 4e452a400abbc5a90385f7e9f05b4491cefb5736 |
| sha256 | 1458305dad0a3f41ae5bf6340f38371287d2f85104944504e75173c97db57580 |
| size | 2135131 |
| subdir | linux-64 |
| timestamp | 1659549271981 |
| version | 1.5.0 |