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 01:02:37 2025 |
| md5 checksum | d17922f92f7dda3442de70d58fe4b2a6 |
| arch | x86_64 |
| build | py38h06a4308_1 |
| build_number | 1 |
| depends | py-xgboost 2.0.3 py38h06a4308_1, python >=3.8,<3.9.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | d17922f92f7dda3442de70d58fe4b2a6 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | d980fc16d170a793fea54bea6beeed1aa16575fe |
| sha256 | 233f2fad3a86c411b43283c9d72c65bfd3a3f9a02e63521fd2a4511c372a7c73 |
| size | 10701 |
| subdir | linux-64 |
| timestamp | 1728569434213 |
| version | 2.0.3 |