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 23:45:19 2025 |
| md5 checksum | 0d39b3d67d40c6b86612ce78813a1ad4 |
| arch | x86_64 |
| build | py38h2531618_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 | 0d39b3d67d40c6b86612ce78813a1ad4 |
| name | lightgbm |
| platform | linux |
| sha1 | 2a280706d0b3e678dba64b9283ae095083927c45 |
| sha256 | 310be71c5fa77bcc638bf57547d8f7a23ad73b8f6c845aa69649a5511afee23f |
| size | 1342320 |
| subdir | linux-64 |
| timestamp | 1607536069312 |
| version | 3.1.1 |