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 01:02:29 2025 |
| md5 checksum | e2fb3b8c1806cfbc79a6fdd988bc3e9e |
| arch | x86_64 |
| build | py39h06a4308_0 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 1.3.3 h2531618_0, numpy <2.0a0, python >=3.9,<3.10.0a0, scikit-learn, scipy |
| license | Apache-2.0 |
| md5 | e2fb3b8c1806cfbc79a6fdd988bc3e9e |
| name | py-xgboost |
| platform | linux |
| sha1 | db01606d21a8f3d8233beee66d4076f42bc8af3a |
| sha256 | 1fe424c7c8ddc24e2c4e6d011a8e00ff90617591d2dc1a5796672e13b1ea44ec |
| size | 140949 |
| subdir | linux-64 |
| timestamp | 1619724732387 |
| version | 1.3.3 |