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 23:45:05 2025 |
| md5 checksum | d462a511a0212a711e660275228bc64d |
| arch | x86_64 |
| build | py39h6a678d5_0 |
| constrains | scikit-learn >=0.24.2, pandas >=0.24.0, pyarrow >=6.0.1, cffi >=1.15.1, dask >=2.0.0 |
| depends | _openmp_mutex, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.17.0, python >=3.9,<3.10.0a0, scipy |
| license | MIT |
| license_family | MIT |
| md5 | d462a511a0212a711e660275228bc64d |
| name | lightgbm |
| platform | linux |
| sha1 | 27c5df36ab786d687b7805ca086c927e657a33c5 |
| sha256 | 74b9dc120dee8e1180789911995dfe2e1c38d3a8cc9427ade70a649aaaccf39b |
| size | 6804528 |
| subdir | linux-64 |
| timestamp | 1741973649904 |
| version | 4.6.0 |