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 00:44:11 2025 |
| md5 checksum | 8e11821ec0a91f03d1c970f6ea918f55 |
| arch | x86_64 |
| build | py310h06a4308_0 |
| depends | py-xgboost 2.0.3 py310h06a4308_0, python >=3.10,<3.11.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 8e11821ec0a91f03d1c970f6ea918f55 |
| name | xgboost |
| platform | linux |
| sha1 | 4353a52ddf4512f8cd54a50bf248cc3c36a4210d |
| sha256 | 703cf39b6fc0a3d5e874f8d401bd7d78d18bb5b43f22fe213776db647e0a40ce |
| size | 10196 |
| subdir | linux-64 |
| timestamp | 1713973037692 |
| version | 2.0.3 |