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 01:02:16 2025 |
| md5 checksum | 54c345168c3c5e29931a89caafb203cf |
| arch | x86_64 |
| build | py39h06a4308_0 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 1.7.3 h6a678d5_0, numpy <2.0a0, python >=3.9,<3.10.0a0, scikit-learn, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 54c345168c3c5e29931a89caafb203cf |
| name | py-xgboost |
| platform | linux |
| sha1 | f395f26e57688fa2120866dad4ddf1b73cef132d |
| sha256 | d9a7a6f34b0ee4793e0f66bf06bd86ab4bff5b3cdabef36a251781b0bb8c5e3b |
| size | 217871 |
| subdir | linux-64 |
| timestamp | 1675458551510 |
| version | 1.7.3 |