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 01:02:45 2025 |
| md5 checksum | 03d6e364a003f356f6a8c56d39e7dd98 |
| 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 | 03d6e364a003f356f6a8c56d39e7dd98 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 9f84e008a078612a7eef4e7913f06ff438939144 |
| sha256 | 353a9cedab981cb53a948895ce64226f6abc9b5e0ed71213523f137fcf321906 |
| size | 14737 |
| subdir | linux-64 |
| timestamp | 1721080314523 |
| version | 1.5.1 |