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 | ac8f6f82b93d7200a4e3d01ee2971d36 |
| arch | x86_64 |
| build | py311h06a4308_1 |
| build_number | 1 |
| depends | py-xgboost 2.0.3 py311h06a4308_1, python >=3.11,<3.12.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | ac8f6f82b93d7200a4e3d01ee2971d36 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | dfd1d03bfb84d43e0d0f9721e6aba271423720b1 |
| sha256 | 2b629335a17a2a72e58c9766490a42964030e5485a4a5714bc4ef8bcd1482df4 |
| size | 10734 |
| subdir | linux-64 |
| timestamp | 1728569411544 |
| version | 2.0.3 |