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 01:02:34 2025 |
| md5 checksum | 31c86357b44357868d58a16d9407f05c |
| arch | x86_64 |
| build | py312h06a4308_0 |
| depends | py-xgboost 2.1.1 py312h06a4308_0, python >=3.12,<3.13.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 31c86357b44357868d58a16d9407f05c |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | c4d0c0211359a592133a6424b19d1ba2cbb93be3 |
| sha256 | 129df743283446cc32ae3084a64c86ebe0c6274934ea5464c114e081d0402690 |
| size | 11220 |
| subdir | linux-64 |
| timestamp | 1724074072726 |
| version | 2.1.1 |