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 01:02:42 2025 |
| md5 checksum | 1547d29bdbfe7a2a4e49d265feafe58f |
| arch | x86_64 |
| build | py39h06a4308_0 |
| depends | py-xgboost 1.7.3 py39h06a4308_0, python >=3.9,<3.10.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 1547d29bdbfe7a2a4e49d265feafe58f |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 3453f8a074c9b364d0307f1570bc89c5a945fe6c |
| sha256 | 1c063699e2d48b96afbab858d227fb1f55d202e8064a47398bed7c491f95582c |
| size | 12179 |
| subdir | linux-64 |
| timestamp | 1675458564271 |
| version | 1.7.3 |