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 20:38:04 2025 |
| md5 checksum | 058792f4862157eb59cef30038a9a67d |
| arch | x86_64 |
| build | cpu_2 |
| build_number | 2 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 058792f4862157eb59cef30038a9a67d |
| name | _py-xgboost-mutex |
| platform | linux |
| sha1 | c35b90a01a87208ef37a2d4b52a861c392322c09 |
| sha256 | a56db0907acb8c143e4ebea9d8d8e0edf7497bb20dafcc26b670d0c39758fb0a |
| size | 14583 |
| subdir | linux-64 |
| timestamp | 1721080194154 |
| version | 2.0 |