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 00:44:11 2025 |
| md5 checksum | ab7e184f8c7b3364f24d10d22f622932 |
| arch | x86_64 |
| build | py310h06a4308_1 |
| build_number | 1 |
| depends | py-xgboost 2.0.3 py310h06a4308_1, python >=3.10,<3.11.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | ab7e184f8c7b3364f24d10d22f622932 |
| name | xgboost |
| platform | linux |
| sha1 | bd3a33b04d656107b6219861b1a6036de76195c8 |
| sha256 | b83c5d1afeef1765234ce5077e2f2a3ec515287d893791c437d7c08c46a3e31d |
| size | 10698 |
| subdir | linux-64 |
| timestamp | 1728569458171 |
| version | 2.0.3 |