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 01:02:04 2025 |
| md5 checksum | 67eeb5c8dacc05a64a86e42337c2f439 |
| arch | x86_64 |
| build | py310h06a4308_1 |
| build_number | 1 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 2.0.3 h6a678d5_1, numpy, python >=3.10,<3.11.0a0, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 67eeb5c8dacc05a64a86e42337c2f439 |
| name | py-xgboost |
| platform | linux |
| sha1 | f709ec9ad281fac4b022225022af83843ecc6e6c |
| sha256 | 5987e6b343c0ccd4d8e1a20bce9cdf5c354c352ae4fc0f9e8f2b3035f01d1eff |
| size | 270782 |
| subdir | linux-64 |
| timestamp | 1728569395732 |
| version | 2.0.3 |