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 01:02:50 2025 |
| md5 checksum | 93f50cca6f14f3451a8f39a602d48e21 |
| arch | x86_64 |
| build | py39h06a4308_2 |
| build_number | 2 |
| depends | py-xgboost 1.5.0 py39h06a4308_2, python >=3.9,<3.10.0a0 |
| license | Apache-2.0 |
| md5 | 93f50cca6f14f3451a8f39a602d48e21 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 99b04b1ee320b54163cfea9ca87190d4a502cc3a |
| sha256 | 57078b0d0bf7d72cf3b6541e5326158ad2b28436f88583af13ffa8505f36ea78 |
| size | 15085 |
| subdir | linux-64 |
| timestamp | 1659549506056 |
| version | 1.5.0 |