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 01:02:48 2025 |
| md5 checksum | 05560f2c3d83d89393aaf8b25c788cc8 |
| arch | x86_64 |
| build | py310h06a4308_2 |
| build_number | 2 |
| depends | py-xgboost 1.5.0 py310h06a4308_2, python >=3.10,<3.11.0a0 |
| license | Apache-2.0 |
| md5 | 05560f2c3d83d89393aaf8b25c788cc8 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 8361d1afd26a349f58f47e35b21c76b3ddd7f786 |
| sha256 | d83706ecb84cf2c4ab48bd103d66c3ee029f9c41d71ec0a01d96d036a71f5eb8 |
| size | 15122 |
| subdir | linux-64 |
| timestamp | 1659549521322 |
| version | 1.5.0 |