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 23:45:14 2025 |
| md5 checksum | bfe14d768a9785677547a16357dc8f21 |
| arch | x86_64 |
| build | py312h6a678d5_0 |
| constrains | scikit-learn !=0.22.0, pandas>=0.24.0, dask >=2.0.0 |
| depends | _openmp_mutex >=5.1, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy <2.0a0, python >=3.12,<3.13.0a0, scipy |
| license | MIT |
| license_family | MIT |
| md5 | bfe14d768a9785677547a16357dc8f21 |
| name | lightgbm |
| platform | linux |
| sha1 | 9721adc61f8aadbd578b8196765449aaf40ab8ed |
| sha256 | 95e3b954df85405d10dab5c1352072e56dd69bc15fae984bb00982fbf7ac087d |
| size | 2273150 |
| subdir | linux-64 |
| timestamp | 1701759537410 |
| version | 4.1.0 |