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 01:02:25 2025 |
| md5 checksum | fbe95adf65bd54c222b990dcadf77a5c |
| arch | x86_64 |
| build | py310h06a4308_1 |
| build_number | 1 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 1.5.0 h295c915_1, numpy <2.0a0, python >=3.10,<3.11.0a0, scikit-learn, scipy, setuptools |
| license | Apache-2.0 |
| md5 | fbe95adf65bd54c222b990dcadf77a5c |
| name | py-xgboost |
| platform | linux |
| sha1 | 1b570969b41429a3f12f7b78edce01e5332ad6b2 |
| sha256 | e496a00f0383eb072c421826b9699f3113689ac592d25a38be0a84e5b6635132 |
| size | 161107 |
| subdir | linux-64 |
| timestamp | 1640814318695 |
| version | 1.5.0 |