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 01:02:37 2025 |
| md5 checksum | 1b532aa0ad85f761467c82c597bc4ca6 |
| arch | x86_64 |
| build | py312h06a4308_1 |
| build_number | 1 |
| depends | py-xgboost 2.0.3 py312h06a4308_1, python >=3.12,<3.13.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 1b532aa0ad85f761467c82c597bc4ca6 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 60cac40eece01725840b9ee54ce0af5bdaeeea67 |
| sha256 | 208754e904ddbb6386a089fb005cbf7457af2bd0a49ec63657a3f873063157b4 |
| size | 10748 |
| subdir | linux-64 |
| timestamp | 1728569423383 |
| version | 2.0.3 |