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 01:02:40 2025 |
| md5 checksum | 6a786d2c46560c3eeafd4ff4590a7646 |
| arch | x86_64 |
| build | py39h06a4308_0 |
| depends | py-xgboost 1.7.6 py39h06a4308_0, python >=3.9,<3.10.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 6a786d2c46560c3eeafd4ff4590a7646 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 005344f0e957abd1962683eeb17aa48299a8d35a |
| sha256 | c1d0cc6f0e76c04d085fa297048dd64614afd3886774d6b656c6ee98311a534c |
| size | 10483 |
| subdir | linux-64 |
| timestamp | 1712794914590 |
| version | 1.7.6 |