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 01:02:47 2025 |
| md5 checksum | e93218c7aa9b7463799d8d1e83a6bb70 |
| arch | x86_64 |
| build | py39h06a4308_0 |
| depends | py-xgboost 1.5.1 py39h06a4308_0, python >=3.9,<3.10.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | e93218c7aa9b7463799d8d1e83a6bb70 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 5e3dd3975b018f95f8dda1cf6a1e4975a60761e5 |
| sha256 | f59021e7c7b9f89b9e596319bf80d56f7320091432cec838f5bf7a1e1aefc4be |
| size | 14400 |
| subdir | linux-64 |
| timestamp | 1675120158205 |
| version | 1.5.1 |