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 | Tue Apr 1 00:44:18 2025 |
| md5 checksum | 0f1cf519709bc21f4270621f52056cbe |
| arch | x86_64 |
| build | py312h06a4308_2 |
| build_number | 2 |
| depends | py-xgboost 1.5.1 py312h06a4308_2, python >=3.12,<3.13.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 0f1cf519709bc21f4270621f52056cbe |
| name | xgboost |
| platform | linux |
| sha1 | 83f35bfba5fc791cf3ca2f02bab9294d910b61dc |
| sha256 | bfd688336805e8d609f3b60834cf0c9762a9e1abc2beb3be7361f8686febdd8f |
| size | 14706 |
| subdir | linux-64 |
| timestamp | 1721080326803 |
| version | 1.5.1 |