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 01:02:33 2025 |
| md5 checksum | 489cd315777e4a918cd237066573ec58 |
| arch | x86_64 |
| build | py311h06a4308_0 |
| depends | py-xgboost 2.1.1 py311h06a4308_0, python >=3.11,<3.12.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 489cd315777e4a918cd237066573ec58 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | da2a3bf9bb7db7850146bb54e0b138894f8f7322 |
| sha256 | 42f66db5d1659e20eebfa15e523b5a6d8a0aa20b2a4c0f8092a8a48292b3e7aa |
| size | 11218 |
| subdir | linux-64 |
| timestamp | 1724074057217 |
| version | 2.1.1 |