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 01:02:17 2025 |
| md5 checksum | 97e939472292b3817074053f31d6fdff |
| arch | x86_64 |
| build | py310h06a4308_2 |
| build_number | 2 |
| depends | _py-xgboost-mutex 2.0 cpu_2, libxgboost 1.5.1 h6a678d5_2, numpy <2.0a0, python >=3.10,<3.11.0a0, scikit-learn, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 97e939472292b3817074053f31d6fdff |
| name | py-xgboost |
| platform | linux |
| sha1 | e6825a72bae91292d7125237dc7521871084e3ea |
| sha256 | 79fa1b6c0913e94286f42a070bfb87c6f6b6b8cbeb7f2a0e03776dc61966e693 |
| size | 172848 |
| subdir | linux-64 |
| timestamp | 1721080246923 |
| version | 1.5.1 |