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 01:02:41 2025 |
| md5 checksum | 005c25a28b539da5931123fb7f9d1703 |
| arch | x86_64 |
| build | py38h06a4308_0 |
| depends | py-xgboost 1.7.3 py38h06a4308_0, python >=3.8,<3.9.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 005c25a28b539da5931123fb7f9d1703 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 258d8e8fcab5e74a2e0f8669d35363ae3de28160 |
| sha256 | 687cc7f5070ddcfeca6cb67a74eade49ab4318be09de5f8a5dd0e36a934239c2 |
| size | 12182 |
| subdir | linux-64 |
| timestamp | 1675458781236 |
| version | 1.7.3 |