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 01:02:34 2025 |
| md5 checksum | 751cbd1fc1d00516ff714eb21248c6c6 |
| arch | x86_64 |
| build | py39h06a4308_0 |
| depends | py-xgboost 2.1.1 py39h06a4308_0, python >=3.9,<3.10.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 751cbd1fc1d00516ff714eb21248c6c6 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 8053edb2dbaf9658fdf39c574f61d14ffc3dc974 |
| sha256 | 9d78e22d204d3109e1cffddc67bada932c0a48c29ab96ae081b52e7055e68dee |
| size | 11187 |
| subdir | linux-64 |
| timestamp | 1724074067295 |
| version | 2.1.1 |