зеркало из https://github.com/microsoft/LightGBM.git
59 строки
1.5 KiB
ReStructuredText
59 строки
1.5 KiB
ReStructuredText
.. LightGBM documentation master file, created by
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sphinx-quickstart on Thu May 4 14:30:58 2017.
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You can adapt this file completely to your liking, but it should at least
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contain the root `toctree` directive.
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.. image:: ./logo/LightGBM_logo_black_text.svg
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:align: center
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:width: 600
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:alt: Light Gradient Boosting Machine logo.
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Welcome to LightGBM's documentation!
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====================================
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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.
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- Lower memory usage.
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- Better accuracy.
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- Support of parallel, distributed, and GPU learning.
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- 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>
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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 <https://lightgbm.readthedocs.io/en/latest/R/reference/>
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Distributed 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::
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:hidden:
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GPU-Performance
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GPU-Targets
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GPU-Windows
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gcc-Tips
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README
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Indices and Tables
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==================
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* :ref:`genindex`
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