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 01:02:40 2025 |
| md5 checksum | dc817e9381321d8c1378f0c4e349c5a5 |
| 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 | dc817e9381321d8c1378f0c4e349c5a5 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | d3e5724500792f1b5b2894a02bafc82cd5afdd46 |
| sha256 | 6f8faddec6fffaa8ccdc000773e33d84894f64b776c7586d066580cbd456063b |
| size | 12211 |
| subdir | linux-64 |
| timestamp | 1675458316362 |
| version | 1.7.3 |