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 01:02:44 2025 |
| md5 checksum | 967192928671288c0a34ddde0c758279 |
| arch | x86_64 |
| build | py310h06a4308_0 |
| depends | py-xgboost 1.5.1 py310h06a4308_0, python >=3.10,<3.11.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 967192928671288c0a34ddde0c758279 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 3ec8f3f61495268f0e94056d66e99ecb097bc943 |
| sha256 | af86101f697cbcf8f4d057199bc06a88a96601a7a31b1aaa3c17a610a5456c09 |
| size | 14436 |
| subdir | linux-64 |
| timestamp | 1675120186314 |
| version | 1.5.1 |