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 01:02:49 2025 |
| md5 checksum | abf68e3f59791e9657029387c21b9e82 |
| arch | x86_64 |
| build | py38h06a4308_1 |
| build_number | 1 |
| depends | py-xgboost 1.5.0 py38h06a4308_1, python >=3.8,<3.9.0a0 |
| license | Apache-2.0 |
| md5 | abf68e3f59791e9657029387c21b9e82 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 29f77e7328e1caf31125ee03d128382dfb7ae3ae |
| sha256 | a775674a90df8d7e82be2bba0b2094e3289c10f81fbd15da1480f190d5aafd0d |
| size | 25170 |
| subdir | linux-64 |
| timestamp | 1638290371679 |
| version | 1.5.0 |