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 | Tue Apr 1 00:44:13 2025 |
| md5 checksum | 7bd966a2ffc7f00993070820e81eea57 |
| 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 | 7bd966a2ffc7f00993070820e81eea57 |
| name | xgboost |
| platform | linux |
| sha1 | faf498feb3e0b732ba47a630fddc1a2c86db428a |
| sha256 | 92ba60db17e897fb900db6d78a1eb5c84797f390055e39f5d7d96fd71909484a |
| size | 10452 |
| subdir | linux-64 |
| timestamp | 1712794945777 |
| version | 1.7.6 |