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 23:45:13 2025 |
| md5 checksum | 7a584f0c6ee0a1bf52f2ebc79caed2c7 |
| arch | x86_64 |
| build | py39h6a678d5_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 <2.0a0, python >=3.9,<3.10.0a0, scipy |
| license | MIT |
| license_family | MIT |
| md5 | 7a584f0c6ee0a1bf52f2ebc79caed2c7 |
| name | lightgbm |
| platform | linux |
| sha1 | b86b1dc6041d56f65170482376ea62dd4974ae36 |
| sha256 | 3a8cdc63d463dee8c0c4ea727b3ac517681febe9fc8f4cfe26c7125f606176c8 |
| size | 2614618 |
| subdir | linux-64 |
| timestamp | 1714113659896 |
| version | 4.3.0 |