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 01:02:36 2025 |
| md5 checksum | 879ab1bf4515ac2c067da61221731d68 |
| arch | x86_64 |
| build | py312h06a4308_0 |
| depends | py-xgboost 2.0.3 py312h06a4308_0, python >=3.12,<3.13.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 879ab1bf4515ac2c067da61221731d68 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | d63a524ceaa9c8151927bc5ce8fd8399b86bef7a |
| sha256 | 055a98744d285d7630812154012f970c679f126fddd6f403c37b01a1e0ba0032 |
| size | 10245 |
| subdir | linux-64 |
| timestamp | 1713973026918 |
| version | 2.0.3 |