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 | 9f7334503d5d8ac73db63ceac5839798 |
| 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 | 9f7334503d5d8ac73db63ceac5839798 |
| name | libxgboost |
| platform | linux |
| sha1 | 48ca5ce254740661e6ca34216cff2bbc249b33b4 |
| sha256 | 291832e6aefe57b797461ae8a17bb6cd9471970b9cb5acbfe57c0a72195d70e0 |
| size | 3395005 |
| subdir | linux-64 |
| timestamp | 1675119947017 |
| version | 1.5.1 |