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 | b39c890553bf6a5a5fcb4a77b5cec461 |
| arch | x86_64 |
| build | h295c915_1 |
| build_number | 1 |
| depends | _openmp_mutex, libgcc-ng >=7.5.0, libstdcxx-ng >=7.5.0 |
| license | Apache-2.0 |
| md5 | b39c890553bf6a5a5fcb4a77b5cec461 |
| name | libxgboost |
| platform | linux |
| sha1 | cf9d6d1d18067d88f956fcd24220f4a428d38745 |
| sha256 | b86a749ba53ceed5c4fccc32cdb78c9d464512c636d1a2e5ec9e91ced57aa0cb |
| size | 2046100 |
| subdir | linux-64 |
| timestamp | 1638290161400 |
| version | 1.5.0 |