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 01:02:21 2025 |
| md5 checksum | 9fd301d057d932d387c9a06b55ea4110 |
| arch | x86_64 |
| build | py39h06a4308_0 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 1.5.1 h6a678d5_0, numpy <2.0a0, python >=3.9,<3.10.0a0, scikit-learn, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 9fd301d057d932d387c9a06b55ea4110 |
| name | py-xgboost |
| platform | linux |
| sha1 | 4cbb0683b1c2027b7d05865156aadfed443d3b94 |
| sha256 | 2ed7a45a7e1ce48f1d539ee00212c78f8ab22c327e3510d4321cc10d079d6358 |
| size | 165779 |
| subdir | linux-64 |
| timestamp | 1675119971238 |
| version | 1.5.1 |