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 23:44:13 2025 |
| md5 checksum | 6fb281862eef2ec1da41fcc4bf1dd600 |
| arch | x86_64 |
| build | h2531618_0 |
| depends | libgcc-ng >=7.3.0, libstdcxx-ng >=7.3.0 |
| license | Apache-2.0 |
| md5 | 6fb281862eef2ec1da41fcc4bf1dd600 |
| name | libxgboost |
| platform | linux |
| sha1 | 7e3d4c80616627112f718af7707890011a8db7bb |
| sha256 | bdb921406fb8d37677900d9414b67ef4430324e4eaf8dab3e6512cbbfe685104 |
| size | 1937637 |
| subdir | linux-64 |
| timestamp | 1619724716187 |
| version | 1.3.3 |