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 00:44:12 2025 |
| md5 checksum | 77370594ac809e2498125d6cefc1fa2f |
| arch | x86_64 |
| build | py312h06a4308_0 |
| depends | py-xgboost 2.0.3 py312h06a4308_0, python >=3.12,<3.13.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 77370594ac809e2498125d6cefc1fa2f |
| name | xgboost |
| platform | linux |
| sha1 | 526fb34578c1b8ba653e9c81dfef9e324f0eca43 |
| sha256 | ed43342c18f9ace357a3e27d8d8f701ca0f0b33158d08e3b9ac5c9eca7a28eba |
| size | 10203 |
| subdir | linux-64 |
| timestamp | 1713973054030 |
| version | 2.0.3 |