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 | 74cb01b8c8cc88eb1d852fbf3ad95f39 |
| arch | x86_64 |
| build | py39h06a4308_1 |
| build_number | 1 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 2.0.3 h6a678d5_1, numpy, python >=3.9,<3.10.0a0, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 74cb01b8c8cc88eb1d852fbf3ad95f39 |
| name | py-xgboost |
| platform | linux |
| sha1 | e8f82d55466c9e1b2cae28720cc744677ac5af42 |
| sha256 | 6ad10e40a60ea72c71912ed007e4c3df83c6058133924cea2635096429b5819f |
| size | 266954 |
| subdir | linux-64 |
| timestamp | 1728569376743 |
| version | 2.0.3 |