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 | 45168e4e1f5c44048d46b95cbb6882bf |
| arch | x86_64 |
| build | py39h2531618_0 |
| depends | libgcc-ng >=7.3.0, libstdcxx-ng >=7.3.0, numpy <2.0a0, python >=3.9,<3.10.0a0, scikit-learn, scipy |
| license | MIT |
| license_family | MIT |
| md5 | 45168e4e1f5c44048d46b95cbb6882bf |
| name | lightgbm |
| platform | linux |
| sha1 | 1f0f92c2371779fb20ca2e82d60ee95f655a30ae |
| sha256 | 1e1ac08734d56e689c5fc8220214e799160a35349f056545d56d2fd88dbf233d |
| size | 1343694 |
| subdir | linux-64 |
| timestamp | 1614247416843 |
| version | 3.1.1 |