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 01:02:18 2025 |
| md5 checksum | b688f3b4785379c5b51d8e2ebab83c6e |
| arch | x86_64 |
| build | py312h06a4308_2 |
| build_number | 2 |
| depends | _py-xgboost-mutex 2.0 cpu_2, libxgboost 1.5.1 h6a678d5_2, numpy <2.0a0, python >=3.12,<3.13.0a0, scikit-learn, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | b688f3b4785379c5b51d8e2ebab83c6e |
| name | py-xgboost |
| platform | linux |
| sha1 | f27687ae9a00b8fbdf7229e1e72c36109c5a03b2 |
| sha256 | d70441533abaceaa190156688630ec3a458eb10effd853f736492a6d8876dc8a |
| size | 227314 |
| subdir | linux-64 |
| timestamp | 1721080229613 |
| version | 1.5.1 |