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 | 05fe27b44545453eb45adc85ea5c997f |
| arch | x86_64 |
| build | py38h06a4308_1 |
| build_number | 1 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 2.0.3 h6a678d5_1, numpy, python >=3.8,<3.9.0a0, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 05fe27b44545453eb45adc85ea5c997f |
| name | py-xgboost |
| platform | linux |
| sha1 | 7c6565b40522bde826133791fc0fd15150643bd4 |
| sha256 | 3b15f27c1ff085885ec90797b87e3f1e5a4d64c344d41a08f2de3e7b618c42f7 |
| size | 267362 |
| subdir | linux-64 |
| timestamp | 1728569404962 |
| version | 2.0.3 |