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 23:44:09 2025 |
| md5 checksum | 38ed6fa65527126b403294b53fe7e12f |
| 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 | 38ed6fa65527126b403294b53fe7e12f |
| name | libxgboost |
| platform | linux |
| sha1 | 8932c76b665b726ee036a4f73b1a4e5e309b7e52 |
| sha256 | 1715c018f40b2674203a7a987710302bd67efb0886305a2ef743c8c862b23295 |
| size | 5796031 |
| subdir | linux-64 |
| timestamp | 1713972954309 |
| version | 2.0.3 |