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 01:02:39 2025 |
| md5 checksum | 14b5519d9f2a50ad228529c2b23332d3 |
| arch | x86_64 |
| build | py312h06a4308_0 |
| depends | py-xgboost 1.7.6 py312h06a4308_0, python >=3.12,<3.13.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 14b5519d9f2a50ad228529c2b23332d3 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 4c37af631875be494fb6011ed1dbf2ba7720025a |
| sha256 | fc7d14aaf270c6c4e3c311d4d7bcee4cf45af2046cd7f5856559d29a4ddeda29 |
| size | 10526 |
| subdir | linux-64 |
| timestamp | 1712794930266 |
| version | 1.7.6 |