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 01:02:28 2025 |
| md5 checksum | 823f67dd57136e266b24adb5229c381e |
| arch | x86_64 |
| build | py39h06a4308_2 |
| build_number | 2 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 1.5.0 h6a678d5_2, numpy <2.0a0, python >=3.9,<3.10.0a0, scikit-learn, scipy, setuptools |
| license | Apache-2.0 |
| md5 | 823f67dd57136e266b24adb5229c381e |
| name | py-xgboost |
| platform | linux |
| sha1 | ee1c0a47db2fe4274389221f2edf4cd89b06d30e |
| sha256 | b49a9074853c25538327e1549e1fd2c060e52885a21a78534ebeb27c0b69440c |
| size | 157148 |
| subdir | linux-64 |
| timestamp | 1659549301055 |
| version | 1.5.0 |