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 | dc066fbb249eebeffb8ca5f5fce7c355 |
| arch | x86_64 |
| build | py311h06a4308_1 |
| build_number | 1 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 2.0.3 h6a678d5_1, numpy, python >=3.11,<3.12.0a0, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | dc066fbb249eebeffb8ca5f5fce7c355 |
| name | py-xgboost |
| platform | linux |
| sha1 | 0149eeebaf4daa8a3aa61de8691d99f973df6915 |
| sha256 | a6fc21654d4943a761465b1eb6cbb322b841214dba46a28cb10e5c3641ab0c91 |
| size | 370832 |
| subdir | linux-64 |
| timestamp | 1728569367332 |
| version | 2.0.3 |