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 01:02:46 2025 |
| md5 checksum | 61d753d2f88577c77ea56a1ece63bfb2 |
| arch | x86_64 |
| build | py38h06a4308_2 |
| build_number | 2 |
| depends | py-xgboost 1.5.1 py38h06a4308_2, python >=3.8,<3.9.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 61d753d2f88577c77ea56a1ece63bfb2 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 0e302297dfac0a086361f03e5eb3ad30be5fa017 |
| sha256 | 3d3e4daa7c67d49ec1751c4f0bc6defa5db88d4228e1cd88e5e1989707da9a33 |
| size | 14703 |
| subdir | linux-64 |
| timestamp | 1721080268959 |
| version | 1.5.1 |