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 01:02:28 2025 |
| md5 checksum | 6378611429a79a35fef25a4514ee31ff |
| arch | x86_64 |
| build | py39h06a4308_1 |
| build_number | 1 |
| depends | _py-xgboost-mutex 2.0 cpu_0, libxgboost 1.5.0 h295c915_1, numpy <2.0a0, python >=3.9,<3.10.0a0, scikit-learn, scipy, setuptools |
| license | Apache-2.0 |
| md5 | 6378611429a79a35fef25a4514ee31ff |
| name | py-xgboost |
| platform | linux |
| sha1 | 75463585327a0d320e7866bc174c864c04d9e50a |
| sha256 | 1909795b1991347bd4a6fb5d50112049a66573cf2e8821dbe3369295bc97cbc6 |
| size | 167048 |
| subdir | linux-64 |
| timestamp | 1638290183183 |
| version | 1.5.0 |