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 01:02:47 2025 |
| md5 checksum | 46c47ee3016568ccece029d2ff8405d5 |
| arch | x86_64 |
| build | py39h06a4308_2 |
| build_number | 2 |
| depends | py-xgboost 1.5.1 py39h06a4308_2, python >=3.9,<3.10.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 46c47ee3016568ccece029d2ff8405d5 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 7f6c24ebf5192b07ab613861845754ec5f04b3b3 |
| sha256 | b925da065a4e39c4420a2799b7ef9d34b015565dc76396ba14aea4b1bc7dde75 |
| size | 14715 |
| subdir | linux-64 |
| timestamp | 1721080291622 |
| version | 1.5.1 |