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 23:45:10 2025 |
| md5 checksum | 81fa4af9da492a682d1e5cdfd6ceb75c |
| arch | x86_64 |
| build | py39h6a678d5_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 >=3.9,<3.10.0a0, scipy, typing_extensions |
| license | MIT |
| license_family | MIT |
| md5 | 81fa4af9da492a682d1e5cdfd6ceb75c |
| name | lightgbm |
| platform | linux |
| sha1 | 1795070a490d1e973875b5987d3a36502f06161c |
| sha256 | 88d486972958d1eec0a0ad3269f59821c11d979df2fdcbd7e05ec7b5ca04ca92 |
| size | 6752240 |
| subdir | linux-64 |
| timestamp | 1723568012507 |
| version | 4.5.0 |