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 23:45:09 2025 |
| md5 checksum | 1bf4d7f765b423f46ab8add53be8a7ae |
| arch | x86_64 |
| build | py38h6a678d5_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 >=3.8,<3.9.0a0, scipy, typing_extensions |
| license | MIT |
| license_family | MIT |
| md5 | 1bf4d7f765b423f46ab8add53be8a7ae |
| name | lightgbm |
| platform | linux |
| sha1 | 54edcc46d868240974274a750914527ae6070a36 |
| sha256 | 7668baa9659647658d67f0c16c06ac0e9f7e7f6dfcdb61a375fa09c7ca4fdac4 |
| size | 6752878 |
| subdir | linux-64 |
| timestamp | 1723566222425 |
| version | 4.5.0 |