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 | 45730bbde6c076f8af3c46bce01e7510 |
| arch | x86_64 |
| build | py39h295c915_0 |
| depends | _openmp_mutex >=4.5, libgcc-ng >=7.5.0, libstdcxx-ng >=7.5.0, numpy <2.0a0, python >=3.9,<3.10.0a0, scikit-learn !=0.22.0, scipy |
| license | MIT |
| license_family | MIT |
| md5 | 45730bbde6c076f8af3c46bce01e7510 |
| name | lightgbm |
| platform | linux |
| sha1 | 2ff514ced91bbba1e6fea9580e6a5dd731f0701a |
| sha256 | c9fb28b6c0d91673bcebf585ecaa2f654ed77473c7d1ff85e053e809aa62bb58 |
| size | 1513971 |
| subdir | linux-64 |
| timestamp | 1633019335543 |
| version | 3.2.1 |