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 | Tue Apr 1 00:44:10 2025 |
| md5 checksum | bb7c45d28c9d0f70f7b771c8cf213025 |
| arch | x86_64 |
| build | py311h06a4308_0 |
| depends | py-xgboost 2.1.1 py311h06a4308_0, python >=3.11,<3.12.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | bb7c45d28c9d0f70f7b771c8cf213025 |
| name | xgboost |
| platform | linux |
| sha1 | 754a0ad19c574990c003b96f9fb27c164effa080 |
| sha256 | d6d48463d7a7f62832b5a961a38485f9e9b5f548bf87617c30865f963bcc946d |
| size | 11173 |
| subdir | linux-64 |
| timestamp | 1724074083278 |
| version | 2.1.1 |