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 01:02:36 2025 |
| md5 checksum | d86a7ee1cb94f0fcfa67aacb1ecdb770 |
| arch | x86_64 |
| build | py311h06a4308_0 |
| depends | py-xgboost 2.0.3 py311h06a4308_0, python >=3.11,<3.12.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | d86a7ee1cb94f0fcfa67aacb1ecdb770 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 49480d26aee1fd9d0f36c984a974651cbbbae603 |
| sha256 | 9334452c92597f552ae29e891d36ef6e48cfbe818da16e83baf4d5aba97bc40c |
| size | 10228 |
| subdir | linux-64 |
| timestamp | 1713973015933 |
| version | 2.0.3 |