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 | 12aebb843941b092367f0604e7c6fe7d |
| arch | x86_64 |
| build | py312h6a678d5_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 >=3.12,<3.13.0a0, scipy |
| license | MIT |
| license_family | MIT |
| md5 | 12aebb843941b092367f0604e7c6fe7d |
| name | lightgbm |
| platform | linux |
| sha1 | 585b974a8c00eb6ae96ab47f1f7b5386aa1a65a5 |
| sha256 | 5674401b9483fc210020648e9ab40957fbf405a0d5c54a77f884e3fdb5f20562 |
| size | 6804835 |
| subdir | linux-64 |
| timestamp | 1741973886874 |
| version | 4.6.0 |