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.. 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!
====================================

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**LightGBM** is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed and efficient with the following advantages:

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- Faster training speed and higher efficiency.
- Lower memory usage.
- Better accuracy.
- Support of parallel and GPU learning.
- Capable of handling large-scale data.
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For more details, please refer to `Features <./Features.rst>`__.

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.. toctree::
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   :maxdepth: 1
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   :caption: Contents:

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   Installation Guide <Installation-Guide>
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   Quick Start <Quick-Start>
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   Python Quick Start <Python-Intro>
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   Features <Features>
   Experiments <Experiments>
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   Parameters <Parameters>
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   Parameters Tuning <Parameters-Tuning>
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   C API <C-API>
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   Python API <Python-API>
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   R API <R-API>
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   Parallel Learning Guide <Parallel-Learning-Guide>
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   GPU Tutorial <GPU-Tutorial>
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   Advanced Topics <Advanced-Topics>
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   FAQ <FAQ>
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   Development Guide <Development-Guide>
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.. toctree::
   :hidden:

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

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Indices and Tables
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==================

* :ref:`genindex`