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 01:02:15 2025 |
| md5 checksum | 3843a699ac1fb72cce201dedf769a8f6 |
| arch | x86_64 |
| build | py312h06a4308_0 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 1.7.3 h6a678d5_0, numpy <2.0a0, python >=3.12,<3.13.0a0, scikit-learn, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 3843a699ac1fb72cce201dedf769a8f6 |
| name | py-xgboost |
| platform | linux |
| sha1 | e8ec715b916b2f3d7f2dcc53b208a40b1167d439 |
| sha256 | 7211d456ecc3197bb391c32f95382c0bcbf067b4d78894bc3dfea87486e0f841 |
| size | 276810 |
| subdir | linux-64 |
| timestamp | 1698875977618 |
| version | 1.7.3 |