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 01:02:50 2025 |
| md5 checksum | c6397110193e04a121e3bd7035170697 |
| arch | x86_64 |
| build | py38h06a4308_0 |
| depends | py-xgboost 1.3.3 py38h06a4308_0, python >=3.8,<3.9.0a0 |
| license | Apache-2.0 |
| md5 | c6397110193e04a121e3bd7035170697 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 62fb44927c989be9ec3ac96ac114f980f9d088fb |
| sha256 | 15c2917b8aabec915037b0aca7e80de5602d131786cfbe9c8f03cf00ae35e6bc |
| size | 23387 |
| subdir | linux-64 |
| timestamp | 1619725021019 |
| version | 1.3.3 |