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 01:02:08 2025 |
| md5 checksum | d234297b6b97c449f7251c023583e487 |
| arch | x86_64 |
| build | py38h06a4308_0 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 2.0.3 h6a678d5_0, numpy, python >=3.8,<3.9.0a0, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | d234297b6b97c449f7251c023583e487 |
| name | py-xgboost |
| platform | linux |
| sha1 | f2c592563facc90a3f91fd0e972b71c1d8925a3c |
| sha256 | ff298a4d89852a4588d687315d63983b09ab1b85ab32049a2241e292a6c4f50c |
| size | 271859 |
| subdir | linux-64 |
| timestamp | 1713973004822 |
| version | 2.0.3 |