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 01:02:38 2025 |
| md5 checksum | 8fc59ca627267d46e40de3fc8ec003ac |
| arch | x86_64 |
| build | py39h06a4308_0 |
| depends | py-xgboost 2.0.3 py39h06a4308_0, python >=3.9,<3.10.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 8fc59ca627267d46e40de3fc8ec003ac |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | c97593854ea730bd51ee82a081f33d79b9b8beca |
| sha256 | 6671ff1d6d2e2838c5d3e6129431b74cbd283350116b58105375108aa3e0eefe |
| size | 10215 |
| subdir | linux-64 |
| timestamp | 1713973021263 |
| version | 2.0.3 |