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 01:02:27 2025 |
| md5 checksum | b52ce59abcfecedcbe6177e375fd3a49 |
| arch | x86_64 |
| build | py38h06a4308_1 |
| build_number | 1 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 1.5.0 h295c915_1, numpy, python >=3.8,<3.9.0a0, scikit-learn, scipy, setuptools |
| license | Apache-2.0 |
| md5 | b52ce59abcfecedcbe6177e375fd3a49 |
| name | py-xgboost |
| platform | linux |
| sha1 | cbfa03b72055baa4f8dfe436f6dbdc4ed5458898 |
| sha256 | 6fc130a6f45e3e59b974fbd4e13a92430d84e1098f4c90df2687cc7ebd1a7c3a |
| size | 167169 |
| subdir | linux-64 |
| timestamp | 1638290173733 |
| version | 1.5.0 |