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 01:02:03 2025 |
| md5 checksum | fe2133a20cc6d453514fda51fed92b2c |
| arch | x86_64 |
| build | py39h06a4308_0 |
| constrains | pandas >=1.2 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 2.1.1 h6a678d5_0, numpy, python >=3.9,<3.10.0a0, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | fe2133a20cc6d453514fda51fed92b2c |
| name | py-xgboost |
| platform | linux |
| sha1 | 5bd34edbe778ed4edf3d312649a8e12858f12f88 |
| sha256 | ebd43b5a418bbe12d5d99314115806318e9f345be72da9634102350e9e3fef02 |
| size | 279407 |
| subdir | linux-64 |
| timestamp | 1724074033444 |
| version | 2.1.1 |