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 00:44:18 2025 |
| md5 checksum | 0828cb07ea5d078c4e9f00d0390fe3b4 |
| arch | x86_64 |
| build | py310h06a4308_1 |
| build_number | 1 |
| depends | py-xgboost 1.5.0 py310h06a4308_1, python >=3.10,<3.11.0a0 |
| license | Apache-2.0 |
| md5 | 0828cb07ea5d078c4e9f00d0390fe3b4 |
| name | xgboost |
| platform | linux |
| sha1 | c666fc381a8a01d68fc2fad5514b712fd01c57ce |
| sha256 | 42ff5c269d32984ae5ff731766b113312ce08f7721b94e80c454e8fd024abd2e |
| size | 14422 |
| subdir | linux-64 |
| timestamp | 1641558660057 |
| version | 1.5.0 |