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 01:02:00 2025 |
| md5 checksum | e880011d1961513048068aac23ebf612 |
| arch | x86_64 |
| build | py310h06a4308_0 |
| constrains | pandas >=1.2 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 2.1.1 h6a678d5_0, numpy, python >=3.10,<3.11.0a0, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | e880011d1961513048068aac23ebf612 |
| name | py-xgboost |
| platform | linux |
| sha1 | 8110225a69e5346d070715d32a6b716f646b2b5b |
| sha256 | c176a199cc8a53aa91aa1d3593e5a3c98764edd9b27e58bce48533fc98c7e6dc |
| size | 283517 |
| subdir | linux-64 |
| timestamp | 1724074024621 |
| version | 2.1.1 |