.. LightGBM documentation master file, created by sphinx-quickstart on Thu May 4 14:30:58 2017. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Welcome to LightGBM's documentation! ==================================== **LightGBM** is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed and efficient with the following advantages: - Faster training speed and higher efficiency. - Lower memory usage. - Better accuracy. - Support of parallel and GPU learning. - Capable of handling large-scale data. For more details, please refer to `Features <./Features.rst>`__. .. toctree:: :maxdepth: 1 :caption: Contents: Installation Guide Quick Start Python Quick Start Features Experiments Parameters Parameters Tuning Python API Parallel Learning Guide GPU Tutorial Advanced Topics FAQ Development Guide .. toctree:: :hidden: GPU-Performance GPU-Targets GPU-Windows gcc-Tips README Indices and Tables ================== * :ref:`genindex`