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 | 4633b037b74bc277ee99a6245f178d97 |
| arch | x86_64 |
| build | py311h6a678d5_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 >=3.11,<3.12.0a0, scipy |
| license | MIT |
| license_family | MIT |
| md5 | 4633b037b74bc277ee99a6245f178d97 |
| name | lightgbm |
| platform | linux |
| sha1 | 1097c2274b6f9730519539b8d8996ccd71a0a255 |
| sha256 | 23c298e253c97f602723e9a965002a0208862686d4a63c553f3d44efa0fe6109 |
| size | 2642957 |
| subdir | linux-64 |
| timestamp | 1714113947057 |
| version | 4.3.0 |