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 01:02:02 2025 |
| md5 checksum | f6ac18b1d5efb0ece65c92542e392566 |
| arch | x86_64 |
| build | py38h06a4308_0 |
| constrains | pandas >=1.2 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 2.1.1 h6a678d5_0, numpy, python >=3.8,<3.9.0a0, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | f6ac18b1d5efb0ece65c92542e392566 |
| name | py-xgboost |
| platform | linux |
| sha1 | a67df50498697696f1fa82d84920bd0e64cf6ca5 |
| sha256 | 4729bb78505723b3db198a03f7c15cd13cda6a9826f60a81da1b812eac20100e |
| size | 279727 |
| subdir | linux-64 |
| timestamp | 1724074051747 |
| version | 2.1.1 |