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 01:02:49 2025 |
| md5 checksum | 81ab8104b9229f5f95a1fbd5a05a5f25 |
| arch | x86_64 |
| build | py39h06a4308_1 |
| build_number | 1 |
| depends | py-xgboost 1.5.0 py39h06a4308_1, python >=3.9,<3.10.0a0 |
| license | Apache-2.0 |
| md5 | 81ab8104b9229f5f95a1fbd5a05a5f25 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | d5ac434a87ad1796f7b183abf689250590a6ee80 |
| sha256 | f82de6f6474f3a2b3130b3451153cd94ab81115ddbed7539a50da880f3c99913 |
| size | 25158 |
| subdir | linux-64 |
| timestamp | 1638290386388 |
| version | 1.5.0 |