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 | a6ac8d0d9e9b9c7c782b51580fbe4921 |
| arch | x86_64 |
| build | py310h06a4308_1 |
| build_number | 1 |
| depends | py-xgboost 1.5.0 py310h06a4308_1, python >=3.10,<3.11.0a0 |
| license | Apache-2.0 |
| md5 | a6ac8d0d9e9b9c7c782b51580fbe4921 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | b2e83659755267d66e2f2da00220174e1930c611 |
| sha256 | 6b15a12d49baf2ce96b3be0d10e2c03d87a8a4a9e623c54e6c2561af53d4f9af |
| size | 14441 |
| subdir | linux-64 |
| timestamp | 1641558639316 |
| version | 1.5.0 |