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 01:02:24 2025 |
| md5 checksum | a126b3fc9466ab4fd7b350eacb982f10 |
| arch | x86_64 |
| build | py39h06a4308_2 |
| build_number | 2 |
| depends | _py-xgboost-mutex 2.0 cpu_2, libxgboost 1.5.1 h6a678d5_2, numpy <2.0a0, python >=3.9,<3.10.0a0, scikit-learn, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | a126b3fc9466ab4fd7b350eacb982f10 |
| name | py-xgboost |
| platform | linux |
| sha1 | e6979fc90d0a5fcc00ba91d93a22a4edbeb9b589 |
| sha256 | 8f3935c71599a03aa84bd5e822ca880449119f0820a8a26c7956bfbd0db5d6ed |
| size | 170306 |
| subdir | linux-64 |
| timestamp | 1721080238297 |
| version | 1.5.1 |