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 01:02:10 2025 |
| md5 checksum | a6d27fcde3fb8312bd5dcc4cacf1ce48 |
| arch | x86_64 |
| build | py39h06a4308_0 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 2.0.3 h6a678d5_0, numpy <2.0a0, python >=3.9,<3.10.0a0, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | a6d27fcde3fb8312bd5dcc4cacf1ce48 |
| name | py-xgboost |
| platform | linux |
| sha1 | f13e47be8e5fbbd638dad4d2ea0c1c06e6776765 |
| sha256 | 57175977dde2a045e951e474fcba0987665761d5f84fafca5487da19d3ca9210 |
| size | 271681 |
| subdir | linux-64 |
| timestamp | 1713972986823 |
| version | 2.0.3 |