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 23:45:16 2025 |
| md5 checksum | 7ec8d4564cabb5817c7ef3791ed816d1 |
| arch | x86_64 |
| build | py311h6a678d5_0 |
| depends | _openmp_mutex, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy <2.0a0, python >=3.11,<3.12.0a0, scikit-learn !=0.22.0, scipy |
| license | MIT |
| license_family | MIT |
| md5 | 7ec8d4564cabb5817c7ef3791ed816d1 |
| name | lightgbm |
| platform | linux |
| sha1 | 3d7faf4a6be3828fe635848aac60ae15dbf40e7c |
| sha256 | 5dadfa6cdede33278d41c09ab7616380194f526559ffc24f1b09c18d807a0467 |
| size | 1691106 |
| subdir | linux-64 |
| timestamp | 1677700446736 |
| version | 3.3.5 |