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 23:45:03 2025 |
| md5 checksum | 5fdd7922ac3ed2a248afa3b54f743a1b |
| arch | x86_64 |
| build | py310h6a678d5_0 |
| constrains | scikit-learn >=0.24.2, pandas >=0.24.0, pyarrow >=6.0.1, cffi >=1.15.1, dask >=2.0.0 |
| depends | _openmp_mutex, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.17.0, python >=3.10,<3.11.0a0, scipy |
| license | MIT |
| license_family | MIT |
| md5 | 5fdd7922ac3ed2a248afa3b54f743a1b |
| name | lightgbm |
| platform | linux |
| sha1 | cf61e93914bee81b222e2da84b78e906c1cd4461 |
| sha256 | 28fadff982a7c1c8d2cde107d5e2506fadfb99a73a92a88aa8dfa3e61d986435 |
| size | 6808185 |
| subdir | linux-64 |
| timestamp | 1741973166865 |
| version | 4.6.0 |