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 23:45:17 2025 |
| md5 checksum | dace14399995251bd21428d76df114bb |
| arch | x86_64 |
| build | py38h6a678d5_0 |
| depends | _openmp_mutex, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy, python >=3.8,<3.9.0a0, scikit-learn !=0.22.0, scipy |
| license | MIT |
| license_family | MIT |
| md5 | dace14399995251bd21428d76df114bb |
| name | lightgbm |
| platform | linux |
| sha1 | 5835d4ab6e04829007c6a9cdd39b43d672cf6ff9 |
| sha256 | 1ea151e266f6d07dc83642f706116ce63a29634c942583b0d63e5cd95a4d71da |
| size | 1822658 |
| subdir | linux-64 |
| timestamp | 1677766847806 |
| version | 3.3.5 |