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 | d1573255c7fb4bcfc35239796a5a3373 |
| arch | x86_64 |
| build | py38h06a4308_2 |
| build_number | 2 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 1.5.0 h6a678d5_2, numpy, python >=3.8,<3.9.0a0, scikit-learn, scipy, setuptools |
| license | Apache-2.0 |
| md5 | d1573255c7fb4bcfc35239796a5a3373 |
| name | py-xgboost |
| platform | linux |
| sha1 | 0ca2ebde77f2b67287923a9c29bd03a09750ad04 |
| sha256 | 652e76c4bd4df6948b4e39b2f5ff59f7393edf3f47eca5b1892a3c6d88aef119 |
| size | 157421 |
| subdir | linux-64 |
| timestamp | 1659549287829 |
| version | 1.5.0 |