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 01:02:39 2025 |
| md5 checksum | c2cd99b12536bb3942f002eca07a1af1 |
| arch | x86_64 |
| build | py311h06a4308_0 |
| depends | py-xgboost 1.7.6 py311h06a4308_0, python >=3.11,<3.12.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | c2cd99b12536bb3942f002eca07a1af1 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | 57899e41a7c4682876656c53619ea8542a5fdac9 |
| sha256 | 3fe25b99297586cb2c82b2eabb0c039270c8aa809c0aa8b4622a09f5ee1ce3a0 |
| size | 10486 |
| subdir | linux-64 |
| timestamp | 1712794935404 |
| version | 1.7.6 |