xgboost/doc/index.rst
Philip Hyunsu Cho 05b089405d
Doc modernization (#3474)
* Change doc build to reST exclusively

* Rewrite Intro doc in reST; create toctree

* Update parameter and contribute

* Convert tutorials to reST

* Convert Python tutorials to reST

* Convert CLI and Julia docs to reST

* Enable markdown for R vignettes

* Done migrating to reST

* Add guzzle_sphinx_theme to requirements

* Add breathe to requirements

* Fix search bar

* Add link to user forum
2018-07-19 14:22:16 -07:00

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ReStructuredText

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XGBoost Documentation
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**XGBoost** is an optimized distributed gradient boosting library designed to be highly **efficient**, **flexible** and **portable**.
It implements machine learning algorithms under the `Gradient Boosting <https://en.wikipedia.org/wiki/Gradient_boosting>`_ framework.
XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way.
The same code runs on major distributed environment (Hadoop, SGE, MPI) and can solve problems beyond billions of examples.
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Contents
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.. toctree::
:maxdepth: 2
:titlesonly:
build
get_started
tutorials/index
faq
XGBoost User Forum <https://discuss.xgboost.ai>
GPU support <gpu/index>
parameter
Python package <python/index>
R package <R-package/index>
JVM package <jvm/index>
Julia package <julia>
CLI interface <cli>
contribute