Description
Distributed gradient boosting can be used from Python workflows through LightGBM bindings and tools.
This package is useful for data scientists and developers who train decision-tree boosting models from Python workflows. It does not supply clean data or validate models automatically; the surrounding code controls training and evaluation.
Machine-learning outputs can be misleading with biased, leaked, or private data. Validate carefully before using predictions in real decisions.