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 01:02:07 2025 |
| md5 checksum | 6a7e35da740f5a7934c4d5ccf8e325dc |
| arch | x86_64 |
| build | py312h06a4308_1 |
| build_number | 1 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 2.0.3 h6a678d5_1, numpy, python >=3.12,<3.13.0a0, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 6a7e35da740f5a7934c4d5ccf8e325dc |
| name | py-xgboost |
| platform | linux |
| sha1 | 83de9f7e0de9881ad84699de8ab02d86f22c62ec |
| sha256 | 78b2eddb2840e463d9e95bcf7864122c6ef902acd06b352352531c333f0fb4d8 |
| size | 361596 |
| subdir | linux-64 |
| timestamp | 1728569386136 |
| version | 2.0.3 |