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 23:45:17 2025 |
| md5 checksum | 4cef2c7ade39b3185162ac348ddf95ad |
| arch | x86_64 |
| build | py39h6a678d5_0 |
| depends | _openmp_mutex, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy <2.0a0, python >=3.9,<3.10.0a0, scikit-learn !=0.22.0, scipy |
| license | MIT |
| license_family | MIT |
| md5 | 4cef2c7ade39b3185162ac348ddf95ad |
| name | lightgbm |
| platform | linux |
| sha1 | 06ceb7e4803d6c448935e40fcf08148383624343 |
| sha256 | 65b3aeb7eb33b841a05a4dc9dde0ca4aa10b10c16574b03ff07f85e7810d0fc0 |
| size | 1821762 |
| subdir | linux-64 |
| timestamp | 1677766730638 |
| version | 3.3.5 |