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 01:02:03 2025 |
| md5 checksum | 717fd513fedaf30478f41b1a5e2ad363 |
| arch | x86_64 |
| build | py310h06a4308_0 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 2.0.3 h6a678d5_0, numpy <2.0a0, python >=3.10,<3.11.0a0, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 717fd513fedaf30478f41b1a5e2ad363 |
| name | py-xgboost |
| platform | linux |
| sha1 | 9237e4fd028ec2e0b9a4a22a9d5ea02944217ab8 |
| sha256 | 68364886bbafe003566d5112a28c2c90b2b9c615b2851d2901bbe982e5e64d99 |
| size | 275293 |
| subdir | linux-64 |
| timestamp | 1713972968667 |
| version | 2.0.3 |