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 01:02:01 2025 |
| md5 checksum | 97be531169e60df3e0d798d6545f77e3 |
| arch | x86_64 |
| build | py312h06a4308_0 |
| constrains | pandas >=1.2 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 2.1.1 h6a678d5_0, numpy, python >=3.12,<3.13.0a0, scipy |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 97be531169e60df3e0d798d6545f77e3 |
| name | py-xgboost |
| platform | linux |
| sha1 | 3b6ad0cc1c627ee3bd02bdb88ea35c3803f37c16 |
| sha256 | d4be8707ed5e5ffa587708d8f0db298c5966f6b303ebfa86b3d5437664ff457d |
| size | 378699 |
| subdir | linux-64 |
| timestamp | 1724074042668 |
| version | 2.1.1 |