[DOC] refactor doc

doc/index.md

@@ -1,59 +1,15 @@
 XGBoost Documentation
 =====================
-This is document of xgboost library.
-XGBoost is short for eXtreme gradient boosting. This is a library that is designed, and optimized for boosted (tree) algorithms.
-The goal of this library is to push the extreme of the computation limits of machines to provide a ***scalable***, ***portable*** and ***accurate***
-for large scale tree boosting.
-
 This document is hosted at http://xgboost.readthedocs.org/. You can also browse most of the documents in github directly.
 
 
-Package Documents
------------------
-This section contains language specific package guide.
-* [XGBoost Command Line Usage Walkthrough](../demo/binary_classification/README.md)
+These are used to generate the index used in search.
+
 * [Python Package Document](python/index.md)
 * [R Package Document](R-package/index.md)
 * [Java/Scala Package Document](jvm/index.md)
-* [XGBoost.jl Julia Package](https://github.com/dmlc/XGBoost.jl)
-
-User Guides
------------
-This section contains users guides that are general across languages.
-* [Installation Guide](build.md)
-* [Introduction to Boosted Trees](model.md)
-* [Distributed Training Tutorial](tutorial/aws_yarn.md)
-* [Frequently Asked Questions](faq.md)
-* [External Memory Version](external_memory.md)
-* [Learning to use XGBoost by Example](../demo)
-* [Parameters](parameter.md)
-* [Text input format](input_format.md)
-* [Notes on Parameter Tunning](param_tuning.md)
-
-
-Tutorials
----------
-This section contains official tutorials of XGBoost package.
-See [Awesome XGBoost](https://github.com/dmlc/xgboost/tree/master/demo) for links to mores resources.
-* [Introduction to XGBoost in R](R-package/xgboostPresentation.md) (R package)
-  - This is a general presentation about xgboost in R.
-* [Discover your data with XGBoost in R](R-package/discoverYourData.md) (R package)
-  - This tutorial explaining feature analysis in xgboost.
-* [Introduction of XGBoost in Python](python/python_intro.md) (python)
-  - This tutorial introduces the python package of xgboost
-* [Understanding XGBoost Model on Otto Dataset](../demo/kaggle-otto/understandingXGBoostModel.Rmd) (R package)
-  - This tutorial teaches you how to use xgboost to compete kaggle otto challenge.
-
-Developer Guide
----------------
-* [Contributor Guide](dev-guide/contribute.md)
-
-
-Indices and tables
-------------------
-
-```eval_rst
-* :ref:`genindex`
-* :ref:`modindex`
-* :ref:`search`
-```
+* [Julia Package Document](julia/index.md)
+* [CLI Package Document](cli/index.md)
+- [Howto Documents](how_to/index.md)
+- [Get Started Documents](get_started/index.md)
+- [Tutorials](tutorials/index.md)