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 00:44:15 2025 |
| md5 checksum | cfe0f807c416de4a3979a6aac96aca14 |
| arch | x86_64 |
| build | py312h06a4308_0 |
| depends | py-xgboost 1.7.3 py312h06a4308_0, python >=3.12,<3.13.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | cfe0f807c416de4a3979a6aac96aca14 |
| name | xgboost |
| platform | linux |
| sha1 | 67363b70200fc585837513dff245e13849785a29 |
| sha256 | 289e7986562858dcb16d5f1a6c8913befc79f12174acd0247acc926da6244072 |
| size | 12232 |
| subdir | linux-64 |
| timestamp | 1698876237667 |
| version | 1.7.3 |