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 01:02:16 2025 |
| md5 checksum | c0c5160c99b16f34e27b62aab3501c5d |
| arch | x86_64 |
| build | py310h06a4308_0 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 1.5.1 h6a678d5_0, numpy <2.0a0, python >=3.10,<3.11.0a0, scikit-learn, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | c0c5160c99b16f34e27b62aab3501c5d |
| name | py-xgboost |
| platform | linux |
| sha1 | df8379e052361f4aad482c6d98b1a6327dec3955 |
| sha256 | 12fe99a89efcac9015a7cc257432b252160b575cdc60632e321ba4ec4e504a17 |
| size | 168262 |
| subdir | linux-64 |
| timestamp | 1675119992057 |
| version | 1.5.1 |