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 23:45:06 2025 |
| md5 checksum | 4a27ce8df4fb64503fb3f315439809c0 |
| arch | x86_64 |
| build | py310h6a678d5_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 >=3.10,<3.11.0a0, scipy, typing_extensions |
| license | MIT |
| license_family | MIT |
| md5 | 4a27ce8df4fb64503fb3f315439809c0 |
| name | lightgbm |
| platform | linux |
| sha1 | f45911a54a1d5a311bcf61435879cd5429fae452 |
| sha256 | dc37321e39d62895ef5e18db9f4a671625b538904a07d0df73c806c61d2e4b3c |
| size | 6754153 |
| subdir | linux-64 |
| timestamp | 1723568616026 |
| version | 4.5.0 |