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 01:02:44 2025 |
| md5 checksum | cfb701654839d78ae240a7d5c492483f |
| arch | x86_64 |
| build | py310h06a4308_2 |
| build_number | 2 |
| depends | py-xgboost 1.5.1 py310h06a4308_2, python >=3.10,<3.11.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | cfb701654839d78ae240a7d5c492483f |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 2933ee95faeba384f4e0c0ba47b592fa6b794f79 |
| sha256 | 7a6a438dbf8f77592ca57b5567add38afd457ca7e573cf3eab0abbe7493587d3 |
| size | 14736 |
| subdir | linux-64 |
| timestamp | 1721080303051 |
| version | 1.5.1 |