A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
| Uploaded | Sun Mar 30 23:45:18 2025 |
| md5 checksum | 89dd6858a2b6302eaeb780f0dbd91f85 |
| arch | x86_64 |
| build | py310h295c915_0 |
| depends | _openmp_mutex >=4.5, libgcc-ng >=7.5.0, libstdcxx-ng >=7.5.0, numpy <2.0a0, python >=3.10,<3.11.0a0, scikit-learn !=0.22.0, scipy |
| license | MIT |
| license_family | MIT |
| md5 | 89dd6858a2b6302eaeb780f0dbd91f85 |
| name | lightgbm |
| platform | linux |
| sha1 | 731e52b2287200cd95877f29397a9db448d41869 |
| sha256 | 3810d59de7b3d5ca2d62141599a78224a12f604e2dbc6e7709ba8e970e55e909 |
| size | 1515528 |
| subdir | linux-64 |
| timestamp | 1640812315695 |
| version | 3.2.1 |