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 01:02:11 2025 |
| md5 checksum | 6a9cba991e0f5f789102ce1ced4092b6 |
| arch | x86_64 |
| build | py310h06a4308_0 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 1.7.6 h6a678d5_0, numpy <2.0a0, python >=3.10,<3.11.0a0, scikit-learn, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 6a9cba991e0f5f789102ce1ced4092b6 |
| name | py-xgboost |
| platform | linux |
| sha1 | b2c775632860caff1c6275ab0c8b1a829e82a36e |
| sha256 | a8973336c6bbe0dc8e280f23e769d983263ae5eb0dcf572ec773877fc881c0e6 |
| size | 222242 |
| subdir | linux-64 |
| timestamp | 1712794884864 |
| version | 1.7.6 |