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 23:45:14 2025 |
| md5 checksum | 66ebb84303c146b54c532672500c7672 |
| arch | x86_64 |
| build | py38h6a678d5_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, python >=3.8,<3.9.0a0, scipy |
| license | MIT |
| license_family | MIT |
| md5 | 66ebb84303c146b54c532672500c7672 |
| name | lightgbm |
| platform | linux |
| sha1 | 0bfcb5cd8eba18e158d24291304ac5ccb40323a2 |
| sha256 | ee413dad1c2424fc8397f9fec0d1fa6568b3c2aa0779fbbdbf984950b8531f88 |
| size | 2455790 |
| subdir | linux-64 |
| timestamp | 1700268445183 |
| version | 4.1.0 |