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 23:45:15 2025 |
| md5 checksum | bb0323bbfa7cf2aa1039d4623cd6d388 |
| arch | x86_64 |
| build | py39h6a678d5_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 >=3.9,<3.10.0a0, scipy |
| license | MIT |
| license_family | MIT |
| md5 | bb0323bbfa7cf2aa1039d4623cd6d388 |
| name | lightgbm |
| platform | linux |
| sha1 | c461c21a3fd87a7098a81e413148ddcad14d5537 |
| sha256 | a4f989b1ca5202599b596f1032b518484df23cee24f2e0ff1a2ae09ce1b0e375 |
| size | 2454246 |
| subdir | linux-64 |
| timestamp | 1700268967196 |
| version | 4.1.0 |