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 | 9ffdb4a94cddd04dca3477c3d541c696 |
| arch | x86_64 |
| build | py310h06a4308_2 |
| build_number | 2 |
| depends | py-xgboost 1.5.1 py310h06a4308_2, python >=3.10,<3.11.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 9ffdb4a94cddd04dca3477c3d541c696 |
| name | xgboost |
| platform | linux |
| sha1 | edc7b5bc077faa0dcdde812e9292903e5cbd5b3b |
| sha256 | 701a15b24af1a260613ebf1fca4c4a602d2883bc1bea57dfbe76cdba0731286d |
| size | 14698 |
| subdir | linux-64 |
| timestamp | 1721080338920 |
| version | 1.5.1 |