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 23:45:12 2025 |
| md5 checksum | 94ed25f5dde37029ccd1050d603f15d4 |
| arch | x86_64 |
| build | py38h6a678d5_0 |
| constrains | dask >=2.0.0, pandas >=0.24.0, scikit-learn !=0.22.0, cffi >=1.15.1, pyarrow >=6.0.1 |
| depends | _openmp_mutex, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy, python >=3.8,<3.9.0a0, scipy |
| license | MIT |
| license_family | MIT |
| md5 | 94ed25f5dde37029ccd1050d603f15d4 |
| name | lightgbm |
| platform | linux |
| sha1 | 03a8409d39ad3de38690783493f1d6f686471c06 |
| sha256 | 503b4e2cc5f023d25627d74a71a9ccdcbae56ccd8f6c57656bb7e22622e7510b |
| size | 2616786 |
| subdir | linux-64 |
| timestamp | 1714113371034 |
| version | 4.3.0 |