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 02:04:58 2025 |
| md5 checksum | 6972305ed8c09aa35118e5b0e38a3657 |
| arch | x86_64 |
| build | r35hd872225_1 |
| build_number | 1 |
| depends | _openmp_mutex, _r-xgboost-mutex 2.0 cpu_0, libgcc-ng >=7.5.0, libstdcxx-ng >=7.5.0, libxgboost 1.5.0 h295c915_1, r-base >=3.5,<3.6.0a0, r-data.table, r-jsonlite, r-magrittr, r-matrix |
| license | Apache-2.0 |
| md5 | 6972305ed8c09aa35118e5b0e38a3657 |
| name | r-xgboost |
| platform | linux |
| sha1 | 294576d923229514d8a9936ddda446401ca02bb8 |
| sha256 | 005da2201abb410e6e8bb5676e5a2c4dadc1672c1daedb93be186cb6c2a49f98 |
| size | 1438907 |
| subdir | linux-64 |
| timestamp | 1642516719683 |
| version | 1.5.0 |