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 01:02:33 2025 |
| md5 checksum | 8c1c5e2cf8ff3cc2fb39d0c9a1411221 |
| arch | x86_64 |
| build | py310h06a4308_0 |
| depends | py-xgboost 2.1.1 py310h06a4308_0, python >=3.10,<3.11.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 8c1c5e2cf8ff3cc2fb39d0c9a1411221 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 255cf51bb68aa2a7c29af57e67e68a80b75e6111 |
| sha256 | 88203a88b19f05d557ec1123194f0428450614e7fecbf7f56b8671ee99267446 |
| size | 11200 |
| subdir | linux-64 |
| timestamp | 1724074062252 |
| version | 2.1.1 |