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 23:45:11 2025 |
| md5 checksum | 56b52928ac3b93b8028c717584995994 |
| arch | x86_64 |
| build | py310h6a678d5_0 |
| constrains | dask >=2.0.0, pandas >=0.24.0, scikit-learn !=0.22.0, cffi >=1.15.1, pyarrow >=6.0.1 |
| depends | _openmp_mutex, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy <2.0a0, python >=3.10,<3.11.0a0, scipy |
| license | MIT |
| license_family | MIT |
| md5 | 56b52928ac3b93b8028c717584995994 |
| name | lightgbm |
| platform | linux |
| sha1 | 1660ecf33b01a46993ee0335d9a931e6712fcfbc |
| sha256 | 2ba690bc169c8b40a6c6acdd24309771c13a28f1f0c0f6311503758689702724 |
| size | 2615590 |
| subdir | linux-64 |
| timestamp | 1714113803444 |
| version | 4.3.0 |