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 23:45:08 2025 |
| md5 checksum | 7281bd8f53383b3d891e8d6c9b942172 |
| arch | x86_64 |
| build | py312h6a678d5_0 |
| constrains | dask >=2.0.0, cffi >=1.15.1, pandas >=0.24.0, pyarrow >=6.0.1, scikit-learn !=0.22.0 |
| depends | _openmp_mutex, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.17.0, python >=3.12,<3.13.0a0, scipy, typing_extensions |
| license | MIT |
| license_family | MIT |
| md5 | 7281bd8f53383b3d891e8d6c9b942172 |
| name | lightgbm |
| platform | linux |
| sha1 | ad25d761a3e756abf95342bf1c4ac7a03e09273f |
| sha256 | 323948e92aed6963ab4c5b304b8b6ade1869e4e48f290446c9820151d4a7c298 |
| size | 6688444 |
| subdir | linux-64 |
| timestamp | 1723565555424 |
| version | 4.5.0 |