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 23:45:08 2025 |
| md5 checksum | 3fa56cb4d2f96ae718914db403d8370e |
| arch | x86_64 |
| build | py311h6a678d5_0 |
| constrains | dask >=2.0.0, cffi >=1.15.1, pandas >=0.24.0, pyarrow >=6.0.1, scikit-learn !=0.22.0 |
| depends | _openmp_mutex, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.17.0, python >=3.11,<3.12.0a0, scipy, typing_extensions |
| license | MIT |
| license_family | MIT |
| md5 | 3fa56cb4d2f96ae718914db403d8370e |
| name | lightgbm |
| platform | linux |
| sha1 | a47ae05b5f9c7899eefd8e1a48d6eb05264ca161 |
| sha256 | 35410aa4c6304b8dcc85787c237427a9c9ef3605c9bdf77145ffafbd4e5cf4d9 |
| size | 6774037 |
| subdir | linux-64 |
| timestamp | 1723566916728 |
| version | 4.5.0 |