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 23:45:12 2025 |
| md5 checksum | 55d63e521ae8f03e14317124bb88749b |
| arch | x86_64 |
| build | py312h6a678d5_0 |
| constrains | dask >=2.0.0, pandas >=0.24.0, scikit-learn !=0.22.0, cffi >=1.15.1, pyarrow >=6.0.1 |
| depends | _openmp_mutex, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy <2.0a0, python >=3.12,<3.13.0a0, scipy |
| license | MIT |
| license_family | MIT |
| md5 | 55d63e521ae8f03e14317124bb88749b |
| name | lightgbm |
| platform | linux |
| sha1 | d5a1039316c986819a87224341bdf2b8156f1072 |
| sha256 | bd9846cfae20609214513357411d6da5dc6e9f1368f99781fdfb0910b26b48cd |
| size | 2556199 |
| subdir | linux-64 |
| timestamp | 1714113517602 |
| version | 4.3.0 |