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 | 0ff59fa6c5c911933d3b5fd8db62ecc8 |
| arch | x86_64 |
| build | py38h06a4308_0 |
| depends | py-xgboost 2.1.1 py38h06a4308_0, python >=3.8,<3.9.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 0ff59fa6c5c911933d3b5fd8db62ecc8 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 87d21fe4706383bf2f033ef553f5df6050c2995b |
| sha256 | d83acc36e98b563dc53722afd8f274317c755ef5b1e3ac09e675109251163e98 |
| size | 11161 |
| subdir | linux-64 |
| timestamp | 1724074077629 |
| version | 2.1.1 |