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 00:44:19 2025 |
| md5 checksum | 3038d2c0fc6c4acf890e8ba9c48ca500 |
| arch | x86_64 |
| build | py310h06a4308_2 |
| build_number | 2 |
| depends | py-xgboost 1.5.0 py310h06a4308_2, python >=3.10,<3.11.0a0 |
| license | Apache-2.0 |
| md5 | 3038d2c0fc6c4acf890e8ba9c48ca500 |
| name | xgboost |
| platform | linux |
| sha1 | d964eb6f4767d01b34d99a2cef0b8af7d2ea3bea |
| sha256 | a0a56ef57c26211ac1aacb44340d94abf643ec798b7732fd3f9fbc94b721b452 |
| size | 15080 |
| subdir | linux-64 |
| timestamp | 1659549575202 |
| version | 1.5.0 |