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 | 5c3a4b59f33c982bf7041c155113ac19 |
| arch | x86_64 |
| build | py310h6a678d5_0 |
| depends | _openmp_mutex, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy <2.0a0, python >=3.10,<3.11.0a0, scikit-learn !=0.22.0, scipy |
| license | MIT |
| license_family | MIT |
| md5 | 5c3a4b59f33c982bf7041c155113ac19 |
| name | lightgbm |
| platform | linux |
| sha1 | a804307c95d248289e21de6d707a72e1b46b2077 |
| sha256 | 50423d05e9aa17a50ab32bd9430ecc72c181e4333304efa385ee3659879f07c7 |
| size | 1823415 |
| subdir | linux-64 |
| timestamp | 1677766611806 |
| version | 3.3.5 |