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 01:02:35 2025 |
| md5 checksum | 17b12dad0e467388d855c7d20b0f5115 |
| arch | x86_64 |
| build | py310h06a4308_0 |
| depends | py-xgboost 2.0.3 py310h06a4308_0, python >=3.10,<3.11.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 17b12dad0e467388d855c7d20b0f5115 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 1de07a85483a8f8b3974b02596384d02f4f29590 |
| sha256 | f724912b9f55ad856e5ac9c44816c8120bee973877001293077763320a2d2726 |
| size | 10226 |
| subdir | linux-64 |
| timestamp | 1713973010531 |
| version | 2.0.3 |