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refs in R docs
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dearirenelang committed May 1, 2014
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2 changes: 1 addition & 1 deletion h2o-docs/source/Ruser/Rinstallgit.rst
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.. _Rforgit:


H\ :sub:`2`\ O + R For Developers Using Git
H\ :sub:`2`\ O + R For Developers Using Github
------------------------------------------------------------------


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3 changes: 1 addition & 2 deletions h2o-docs/source/Ruser/top.rst
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.. -*- mode: rst -*-
.. _R_user:

For R Console and R Studio Users
=================================

.. toctree::
:maxdepth: 1


Rinstall
Rinstallgit
Rpackage
2 changes: 2 additions & 0 deletions h2o-docs/source/datascience/references.rst
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.. _References:

References
==============

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67 changes: 47 additions & 20 deletions h2o-docs/source/subjectindex.rst
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Index By Subject
=================

Algorithyms Roadmap: .. _Roadmap:
**Algorithyms Roadmap**

Benchmarks: .._Benchmarks:
:ref:`Roadmap`

Data Science: :ref:`Data_Science`
**Benchmarks**

Data
Introduction to H2O .._IntrotoH2O

R Package Document: .._Rpdf:

R Console
Install H2O in R: .. _Rfromdownload:
Installation for Git Users: .. _Rforgit
**Data Science**

R Studio
Install H2O in R: .. _Rfromdownload:
Installation for Git Users: .. _Rforgit:
:ref:`Data_Science`

Random Forest :ref:`RFmath`
**Data**

**Introduction to H2O**



**R Console**

:ref:`Rfromdownload`
:ref:`Rforgit`


**R**

:ref:`R_user`

**R Package Document**

:ref:`R_pdf`

**R Studio**

:ref:`Rfromdownload`
:ref:`Rforgit`

**Random Forest**

:ref:`RFmath`

**References**

:ref:`References`

**Stochastic Gradient Descent**

:ref:`SGDmath`

Stochastic Gradient Descent :ref:`SGDmath`
**Summary (summary statistics on data)**

Summary (summary statistics on data) :ref:`SUMmath`
:ref:`SUMmath`

Tutorial:
**Tutorial**

Generalized Linear Modeling :ref:`GLM_tutorial`
Generalized Linear Modeling Grid :ref:`GLMgrid_tutorial`
Gradient Boosted Models
K Means :ref:`KM_tutorial`
:ref:`GLM_tutorial`
:ref:`GLMgrid_tutorial`
:ref:`KM_tutorial`


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