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 01:02:13 2025 |
| md5 checksum | e3583dcd333039746c04da924a19142f |
| arch | x86_64 |
| build | py39h06a4308_0 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 1.7.6 h6a678d5_0, numpy <2.0a0, python >=3.9,<3.10.0a0, scikit-learn, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | e3583dcd333039746c04da924a19142f |
| name | py-xgboost |
| platform | linux |
| sha1 | 6c7dbb9f31c4a69e077aa577040349416be608d9 |
| sha256 | e3905f3602d6e9576003a87816f9841ad8142b534858da7fea1b4d5c52dd2840 |
| size | 218967 |
| subdir | linux-64 |
| timestamp | 1712794876830 |
| version | 1.7.6 |