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 00:44:09 2025 |
| md5 checksum | 8db4cf04fcdc94f92074a71b0a939a6b |
| arch | x86_64 |
| build | py310h06a4308_0 |
| depends | py-xgboost 2.1.1 py310h06a4308_0, python >=3.10,<3.11.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 8db4cf04fcdc94f92074a71b0a939a6b |
| name | xgboost |
| platform | linux |
| sha1 | 08b144385208328ea8e9ba4c71d9435bc57c856f |
| sha256 | fa789c5b04605e3de32962676987dca95a202c430ba2a97cc478422f25a79e0a |
| size | 11173 |
| subdir | linux-64 |
| timestamp | 1724074088418 |
| version | 2.1.1 |