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 01:02:37 2025 |
| md5 checksum | 51a44b69c2634c00c0052de6783a4baa |
| arch | x86_64 |
| build | py38h06a4308_0 |
| depends | py-xgboost 2.0.3 py38h06a4308_0, python >=3.8,<3.9.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 51a44b69c2634c00c0052de6783a4baa |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | bbe343c221b004b1b0bf4373dbc476d00d6f0b45 |
| sha256 | 12bf19a0ca2bcc2b166f875ab037ae8708aa82ba7a0a759a17ff46749eab10f8 |
| size | 10204 |
| subdir | linux-64 |
| timestamp | 1713973032288 |
| version | 2.0.3 |