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 | Mon Mar 31 22:29:35 2025 |
| md5 checksum | ed433144117c094273b5ab336a06d9b0 |
| 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 | ed433144117c094273b5ab336a06d9b0 |
| name | libxgboost |
| platform | linux |
| sha1 | ddcb82b97577a8e09d80b3e0e26828d39af034e0 |
| sha256 | a53e8610b624c484d7efc0175d5c57025641328eabf217ef85bfe7f8ab3abb97 |
| size | 3745337 |
| subdir | linux-64 |
| timestamp | 1724074000909 |
| version | 2.1.1 |