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 | Tue Apr 1 00:44:17 2025 |
| md5 checksum | 10f87878251e9c8249934b016cf1fb4c |
| arch | x86_64 |
| build | py311h06a4308_2 |
| build_number | 2 |
| depends | py-xgboost 1.5.1 py311h06a4308_2, python >=3.11,<3.12.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 10f87878251e9c8249934b016cf1fb4c |
| name | xgboost |
| platform | linux |
| sha1 | 76987944f9b4d59bd02611fc3acacf1729a25ab6 |
| sha256 | 6811dd2b4441e620b06d5d985b35aa9bb20cb663887d2ba257e78fe820032c04 |
| size | 14701 |
| subdir | linux-64 |
| timestamp | 1721080344630 |
| version | 1.5.1 |