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 | 4ed897d90408d78a03d9e719ccf666da |
| arch | x86_64 |
| build | py312h06a4308_0 |
| depends | py-xgboost 1.7.3 py312h06a4308_0, python >=3.12,<3.13.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 4ed897d90408d78a03d9e719ccf666da |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | f6e791236549bdc9f7f4144e45c7ec735b7bab0a |
| sha256 | a255feba9b81fe0a4e0a3c4d2b7f793ef680cf0fd1c94c03824549291a8ab8c3 |
| size | 12262 |
| subdir | linux-64 |
| timestamp | 1698876224492 |
| version | 1.7.3 |