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 | Tue Apr 1 00:44:11 2025 |
| md5 checksum | b22c1ac8f95f2f626ac0e5ee3eb500fa |
| arch | x86_64 |
| build | py311h06a4308_0 |
| depends | py-xgboost 2.0.3 py311h06a4308_0, python >=3.11,<3.12.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | b22c1ac8f95f2f626ac0e5ee3eb500fa |
| name | xgboost |
| platform | linux |
| sha1 | e3fcbbd624c46e994d7aa7a1a1043ef3a5fae47b |
| sha256 | a070b31663355faa59cec11dc0563c78563738d14f0801d64c8a4d91d9d94eeb |
| size | 10198 |
| subdir | linux-64 |
| timestamp | 1713973043182 |
| version | 2.0.3 |