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 01:02:46 2025 |
| md5 checksum | 2d5dbc8e383ace91fcf9a56b40f297e7 |
| arch | x86_64 |
| build | py38h06a4308_0 |
| depends | py-xgboost 1.5.1 py38h06a4308_0, python >=3.8,<3.9.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 2d5dbc8e383ace91fcf9a56b40f297e7 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 8bf3fa178410de7cd07c34ae74696693e764ed1c |
| sha256 | bdbd5804253ec5f8917dcb0f56bbf46baa709d8ae19603fa6ecd03545e279193 |
| size | 14403 |
| subdir | linux-64 |
| timestamp | 1675120143758 |
| version | 1.5.1 |