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 | 549fd0a42a0e8c150471009e41a81c18 |
| arch | x86_64 |
| build | py311h06a4308_0 |
| depends | py-xgboost 1.7.3 py311h06a4308_0, python >=3.11,<3.12.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 549fd0a42a0e8c150471009e41a81c18 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 90e92e53a56882fecd34825d3f4a015766075b87 |
| sha256 | 3b2ed0569d9c33bbfb16689b0210d76e84f3b514087e050e8f3e686a5883f635 |
| size | 12245 |
| subdir | linux-64 |
| timestamp | 1676922342105 |
| version | 1.7.3 |