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 23:45:04 2025 |
| md5 checksum | a8b08267671e009e1fd568841ff79516 |
| arch | x86_64 |
| build | py311h6a678d5_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 >=3.11,<3.12.0a0, scipy |
| license | MIT |
| license_family | MIT |
| md5 | a8b08267671e009e1fd568841ff79516 |
| name | lightgbm |
| platform | linux |
| sha1 | 578c4cbdd754c99760f19767d7df10c8d7903a53 |
| sha256 | 143210715658d7bdf6cbe7e26da4cfda042b99efe322e25b576091a8ce6d9369 |
| size | 6844705 |
| subdir | linux-64 |
| timestamp | 1741973415249 |
| version | 4.6.0 |