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 | db01e2baf2767327e78512de237ce608 |
| arch | x86_64 |
| build | py310h06a4308_0 |
| depends | py-xgboost 1.7.6 py310h06a4308_0, python >=3.10,<3.11.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | db01e2baf2767327e78512de237ce608 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 568e00d0e437797aa3941b495e1b9159a80a11b8 |
| sha256 | 691881c8e4a402b893585f35cbcaf5c50f9547abf9c82b627f027bc62321db5d |
| size | 10489 |
| subdir | linux-64 |
| timestamp | 1712794919699 |
| version | 1.7.6 |