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 01:02:05 2025 |
| md5 checksum | f2b7c75978c2d9c66306af207ed45fab |
| arch | x86_64 |
| build | py312h06a4308_0 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 2.0.3 h6a678d5_0, numpy <2.0a0, python >=3.12,<3.13.0a0, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | f2b7c75978c2d9c66306af207ed45fab |
| name | py-xgboost |
| platform | linux |
| sha1 | 502212134db9d017a52077ba6ff5340d2e2daab8 |
| sha256 | fd1195e2efbfc4318ee4240687200bc1448225a0dbaaf445052cd696a8027c31 |
| size | 368505 |
| subdir | linux-64 |
| timestamp | 1713972995897 |
| version | 2.0.3 |