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 01:02:49 2025 |
| md5 checksum | 56ef39323c2122a11c69d24cca10aa5e |
| arch | x86_64 |
| build | py38h06a4308_2 |
| build_number | 2 |
| depends | py-xgboost 1.5.0 py38h06a4308_2, python >=3.8,<3.9.0a0 |
| license | Apache-2.0 |
| md5 | 56ef39323c2122a11c69d24cca10aa5e |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 1b23988adf43a52bdbed378b1224c80edde6d562 |
| sha256 | 8219207da0577ed1f7c58ab23e18457c3e218030f58e9fc4f1a240517047839a |
| size | 15099 |
| subdir | linux-64 |
| timestamp | 1659549492102 |
| version | 1.5.0 |