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 | Tue Apr 1 00:44:10 2025 |
| md5 checksum | 69c8ce7f1c7833020ce50e64a0425e7e |
| arch | x86_64 |
| build | py312h06a4308_0 |
| depends | py-xgboost 2.1.1 py312h06a4308_0, python >=3.12,<3.13.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 69c8ce7f1c7833020ce50e64a0425e7e |
| name | xgboost |
| platform | linux |
| sha1 | 1b10aa5166a58230fc46db0e91a1674bf0ee1b9d |
| sha256 | 4a956a070ceef5c73dc5d1e9b97a7920291899d8eb9f25fecc7baceffd30c4ba |
| size | 11189 |
| subdir | linux-64 |
| timestamp | 1724074098828 |
| version | 2.1.1 |