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 01:02:51 2025 |
| md5 checksum | 9f8b1bd822e77624b2d4e6d005df9e7c |
| arch | x86_64 |
| build | py39h06a4308_0 |
| depends | py-xgboost 1.3.3 py39h06a4308_0, python >=3.9,<3.10.0a0 |
| license | Apache-2.0 |
| md5 | 9f8b1bd822e77624b2d4e6d005df9e7c |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | a52892f889e1275103946a9ed1e8bbf1dce9cb0a |
| sha256 | f6ecf8be89f3fe0229f27810c52f3f5d1dcc81ef8448a020a14e2ab2fc167c67 |
| size | 23402 |
| subdir | linux-64 |
| timestamp | 1619724956436 |
| version | 1.3.3 |