.. 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.

.. image:: ./logo/LightGBM_logo_black_text.svg :align: center :width: 600 :alt: Light Gradient Boosting Machine logo.

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, distributed, 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 <Installation-Guide> Quick Start <Quick-Start> Python Quick Start <Python-Intro> Features <Features> Experiments <Experiments> Parameters <Parameters> Parameters Tuning <Parameters-Tuning> C API <C-API> Python API <Python-API> R API https://lightgbm.readthedocs.io/en/latest/R/reference/ Distributed Learning Guide <Parallel-Learning-Guide> GPU Tutorial <GPU-Tutorial> Advanced Topics <Advanced-Topics> FAQ <FAQ> Development Guide <Development-Guide>

.. toctree:: :hidden:

GPU-Performance GPU-Targets GPU-Windows gcc-Tips README

Indices and Tables

:ref:genindex