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 01:02:40 2025 |
| md5 checksum | 6424c1aa93a3a5042000456b99f58f1e |
| arch | x86_64 |
| build | py38h06a4308_0 |
| depends | py-xgboost 1.7.6 py38h06a4308_0, python >=3.8,<3.9.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 6424c1aa93a3a5042000456b99f58f1e |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 358a1997637938629cda5d37d1f79f361881f56b |
| sha256 | 2c90f5e839375b4aae08119d61c8f0f6bd3c983e1d71b602084d5ca9ae1642b7 |
| size | 10466 |
| subdir | linux-64 |
| timestamp | 1712794924447 |
| version | 1.7.6 |