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 01:02:38 2025 |
| md5 checksum | 54fd7afcaf9e8307d2f3fc7005a8cb0b |
| arch | x86_64 |
| build | py39h06a4308_1 |
| build_number | 1 |
| depends | py-xgboost 2.0.3 py39h06a4308_1, python >=3.9,<3.10.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 54fd7afcaf9e8307d2f3fc7005a8cb0b |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 1f323eb248f6ff41191468c33bd515ddcb99dd47 |
| sha256 | 33b8920bf458ed7d71bcaa194a8cbb59ca58879325d3dacc628cdfce6d83f052 |
| size | 10709 |
| subdir | linux-64 |
| timestamp | 1728569417242 |
| version | 2.0.3 |