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 01:02:18 2025 |
| md5 checksum | 43092bde275e3c38bce47b1147427cc6 |
| arch | x86_64 |
| build | py38h06a4308_0 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 1.5.1 h6a678d5_0, numpy, python >=3.8,<3.9.0a0, scikit-learn, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 43092bde275e3c38bce47b1147427cc6 |
| name | py-xgboost |
| platform | linux |
| sha1 | ee9dd59d681816fe21cda60e00fc8d7f798f4ddb |
| sha256 | 350b4cc83605be8a5e18485c25a561591e4873458a8b34b503ac1322a2fd924a |
| size | 166070 |
| subdir | linux-64 |
| timestamp | 1675119960677 |
| version | 1.5.1 |