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 | 885192286b25d36153dac57c98c6fdea |
| arch | x86_64 |
| build | py312h6a678d5_0 |
| depends | _openmp_mutex, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy <2.0a0, python >=3.12,<3.13.0a0, scikit-learn !=0.22.0, scipy |
| license | MIT |
| license_family | MIT |
| md5 | 885192286b25d36153dac57c98c6fdea |
| name | lightgbm |
| platform | linux |
| sha1 | 115041c146f0b89e4c94e4724f840e677a7f2268 |
| sha256 | f65a1853af40fef49be1b4ddc739c0d7a442a579600c60185c94e4013c02678b |
| size | 1690159 |
| subdir | linux-64 |
| timestamp | 1698889271371 |
| version | 3.3.5 |