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 23:45:20 2025 |
| md5 checksum | 878059f1586a4d67fdc57c3a474a2227 |
| arch | x86_64 |
| build | py38he6710b0_0 |
| depends | libgcc-ng >=7.3.0, libstdcxx-ng >=7.3.0, numpy, python >=3.8,<3.9.0a0, scikit-learn, scipy |
| license | MIT |
| license_family | MIT |
| md5 | 878059f1586a4d67fdc57c3a474a2227 |
| name | lightgbm |
| platform | linux |
| sha1 | 28d99f03d344f3a430a07d9a1d69c9f6c46a174b |
| sha256 | eb374ef3b45fb3dad0e2d5d6c6e7d8b83ec48cdf154a438a3e9aaba388a056e9 |
| size | 963367 |
| subdir | linux-64 |
| timestamp | 1574412880732 |
| version | 2.3.0 |