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 00:44:15 2025 |
| md5 checksum | 935c8b79f9fac99a4c6d9e118de2f31f |
| arch | x86_64 |
| build | py310h06a4308_0 |
| depends | py-xgboost 1.7.3 py310h06a4308_0, python >=3.10,<3.11.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 935c8b79f9fac99a4c6d9e118de2f31f |
| name | xgboost |
| platform | linux |
| sha1 | e41085e2857d13e6b05a82fe887d1e785e2b17f3 |
| sha256 | c6cd20a49df018ba720cd517f36593dce32e4735c5159a825cb86165de199209 |
| size | 12174 |
| subdir | linux-64 |
| timestamp | 1675458334122 |
| version | 1.7.3 |