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 23:45:13 2025 |
| md5 checksum | f01403eecb0e8f80d610ffb28b8df1f9 |
| arch | x86_64 |
| build | py310h6a678d5_0 |
| constrains | pandas>=0.24.0, scikit-learn !=0.22.0, dask >=2.0.0 |
| depends | _openmp_mutex >=5.1, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy <2.0a0, python >=3.10,<3.11.0a0, scipy |
| license | MIT |
| license_family | MIT |
| md5 | f01403eecb0e8f80d610ffb28b8df1f9 |
| name | lightgbm |
| platform | linux |
| sha1 | 5f7cfe5d6b5a5f3f28388e92ec03c6540fb5cfaf |
| sha256 | c152d948ef3e5185af9205a0f75d3d9657c259e3c2270eb51cee26a9b8cce59d |
| size | 2456222 |
| subdir | linux-64 |
| timestamp | 1700268707350 |
| version | 4.1.0 |