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 01:02:20 2025 |
| md5 checksum | cbdf0a3b66cb27a5ce9f2860fa7950b5 |
| arch | x86_64 |
| build | py38h06a4308_2 |
| build_number | 2 |
| depends | _py-xgboost-mutex 2.0 cpu_2, libxgboost 1.5.1 h6a678d5_2, numpy, python >=3.8,<3.9.0a0, scikit-learn, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | cbdf0a3b66cb27a5ce9f2860fa7950b5 |
| name | py-xgboost |
| platform | linux |
| sha1 | e3c512b25f9d861f2b2dbe51e438fa7dc56bb56c |
| sha256 | 0f5bd669e587f23a107e855dab0746e4ef2efb9f1e875297825c9579b3a73fbc |
| size | 170536 |
| subdir | linux-64 |
| timestamp | 1721080220407 |
| version | 1.5.1 |