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 01:02:45 2025 |
| md5 checksum | e90e3f3e0ee0902f93f7a2459615a236 |
| arch | x86_64 |
| build | py312h06a4308_2 |
| build_number | 2 |
| depends | py-xgboost 1.5.1 py312h06a4308_2, python >=3.12,<3.13.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | e90e3f3e0ee0902f93f7a2459615a236 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | c9bbd0734107ea0cc85d79f6c0266f9c7340d99e |
| sha256 | 7295b04f9c0c3557e91ca9468f66a72eb2e05f9c0ee1e2b0ffd0b76e1b3d91f8 |
| size | 14759 |
| subdir | linux-64 |
| timestamp | 1721080279925 |
| version | 1.5.1 |