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 01:02:04 2025 |
| md5 checksum | 9df25b825e10387cd7a66def49c21874 |
| arch | x86_64 |
| build | py311h06a4308_0 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 2.0.3 h6a678d5_0, numpy <2.0a0, python >=3.11,<3.12.0a0, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 9df25b825e10387cd7a66def49c21874 |
| name | py-xgboost |
| platform | linux |
| sha1 | 52e2589e12c39cfc7aa356ad87697314b62a79cb |
| sha256 | c26ba545e2d9cd7fe7dd455f5221bcaa7fd32d11f2f1e1588152fb4862ceff4e |
| size | 377260 |
| subdir | linux-64 |
| timestamp | 1713972977847 |
| version | 2.0.3 |