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 00:44:14 2025 |
| md5 checksum | fe81d075f394d7a206ad8745390c76c7 |
| arch | x86_64 |
| build | py312h06a4308_0 |
| depends | py-xgboost 1.7.6 py312h06a4308_0, python >=3.12,<3.13.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | fe81d075f394d7a206ad8745390c76c7 |
| name | xgboost |
| platform | linux |
| sha1 | 0c470b40eefc0cc590de11feb404d7715a75752d |
| sha256 | 1e49f84cec58aed4a98816d89968a3bb892b842b29eef7477a2f0d635b66f7de |
| size | 10474 |
| subdir | linux-64 |
| timestamp | 1712794955941 |
| version | 1.7.6 |