fix some typos (apache#2450)

liyangdev · Jun 17, 2016 · e721aa5 · e721aa5
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commit e721aa5
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diff --git a/R-package/vignettes/CallbackFunctionTutorial.Rmd b/R-package/vignettes/CallbackFunctionTutorial.Rmd
@@ -6,7 +6,7 @@ which can very useful in model training.
 
 This tutorial is written in Rmarkdown.
 
-- You can directly view the hosted version of the tutorial from [MXNet R Document](http://mxnet.readthedocs.org/en/latest/R-package/CallbackFunctionTutorial.html)
+- You can directly view the hosted version of the tutorial from [MXNet R Document](http://mxnet.readthedocs.io/en/latest/packages/r/CallbackFunctionTutorial.html)
 
 - You can find the Rmarkdown source from [here](https://github.com/dmlc/mxnet/blob/master/R-package/vignettes/CallbackFunctionTutorial.Rmd)
 

diff --git a/R-package/vignettes/classifyRealImageWithPretrainedModel.Rmd b/R-package/vignettes/classifyRealImageWithPretrainedModel.Rmd
@@ -13,7 +13,7 @@ This model gives the recent state-of-art prediction accuracy on image net datase
 Preface
 -------
 This tutorial is written in Rmarkdown.
-- You can directly view the hosted version of the tutorial from [MXNet R Document](http://mxnet.readthedocs.org/en/latest/R-package/classifyRealImageWithPretrainedModel.html)
+- You can directly view the hosted version of the tutorial from [MXNet R Document](http://mxnet.readthedocs.io/en/latest/packages/r/classifyRealImageWithPretrainedModel.html)
 - You can find the download the Rmarkdown source from [here](https://github.com/dmlc/mxnet/blob/master/R-package/vignettes/classifyRealImageWithPretrainedModel.Rmd)
 
 Pacakge Loading

diff --git a/R-package/vignettes/fiveMinutesNeuralNetwork.Rmd b/R-package/vignettes/fiveMinutesNeuralNetwork.Rmd
@@ -8,7 +8,7 @@ We will show you how to do classification and regression tasks respectively. The
 Preface
 -------
 This tutorial is written in Rmarkdown.
-- You can directly view the hosted version of the tutorial from [MXNet R Document](http://mxnet.readthedocs.org/en/latest/R-package/fiveMinutesNeuralNetwork.html)
+- You can directly view the hosted version of the tutorial from [MXNet R Document](http://mxnet.readthedocs.io/en/latest/packages/r/fiveMinutesNeuralNetwork.html)
 - You can find the download the Rmarkdown source from [here](https://github.com/dmlc/mxnet/blob/master/R-package/vignettes/fiveMinutesNeuralNetwork.Rmd)
 
 ## Classification

diff --git a/R-package/vignettes/mnistCompetition.Rmd b/R-package/vignettes/mnistCompetition.Rmd
@@ -5,7 +5,7 @@ Handwritten Digits Classification Competition
 We will present the basic usage of [mxnet](https://github.com/dmlc/mxnet/tree/master/R-package) to compete in this challenge.
 
 This tutorial is written in Rmarkdown. You can download the source [here](https://github.com/dmlc/mxnet/blob/master/R-package/vignettes/mnistCompetition.Rmd) and view a
-hosted version of tutorial [here](http://mxnet.readthedocs.org/en/latest/R-package/mnistCompetition.html).
+hosted version of tutorial [here](http://mxnet.readthedocs.io/en/latest/packages/r/mnistCompetition.html).
 
 ## Data Loading
 

diff --git a/docs/packages/r/CallbackFunctionTutorial.md b/docs/packages/r/CallbackFunctionTutorial.md
@@ -6,7 +6,7 @@ which can very useful in model training.
 
 This tutorial is written in Rmarkdown.
 
-- You can directly view the hosted version of the tutorial from [MXNet R Document](http://mxnet.readthedocs.org/en/latest/R-package/CallbackFunctionTutorial.html)
+- You can directly view the hosted version of the tutorial from [MXNet R Document](http://mxnet.readthedocs.io/en/latest/packages/r/CallbackFunctionTutorial.html)
 
 - You can find the Rmarkdown source from [here](https://github.com/dmlc/mxnet/blob/master/R-package/vignettes/CallbackFunctionTutorial.Rmd)
 

diff --git a/docs/packages/r/classifyRealImageWithPretrainedModel.md b/docs/packages/r/classifyRealImageWithPretrainedModel.md
@@ -12,7 +12,7 @@ This model gives the recent state-of-art prediction accuracy on image net datase
 Preface
 -------
 This tutorial is written in Rmarkdown.
-- You can directly view the hosted version of the tutorial from [MXNet R Document](http://mxnet.readthedocs.org/en/latest/R-package/classifyRealImageWithPretrainedModel.html)
+- You can directly view the hosted version of the tutorial from [MXNet R Document](http://mxnet.readthedocs.io/en/latest/packages/r/classifyRealImageWithPretrainedModel.html)
 - You can find the download the Rmarkdown source from [here](https://github.com/dmlc/mxnet/blob/master/R-package/vignettes/classifyRealImageWithPretrainedModel.Rmd)
 
 Pacakge Loading

diff --git a/docs/packages/r/fiveMinutesNeuralNetwork.md b/docs/packages/r/fiveMinutesNeuralNetwork.md
@@ -8,7 +8,7 @@ We will show you how to do classification and regression tasks respectively. The
 Preface
 -------
 This tutorial is written in Rmarkdown.
-- You can directly view the hosted version of the tutorial from [MXNet R Document](http://mxnet.readthedocs.org/en/latest/R-package/fiveMinutesNeuralNetwork.html)
+- You can directly view the hosted version of the tutorial from [MXNet R Document](http://mxnet.readthedocs.io/en/latest/packages/r/fiveMinutesNeuralNetwork.html)
 - You can find the download the Rmarkdown source from [here](https://github.com/dmlc/mxnet/blob/master/R-package/vignettes/fiveMinutesNeuralNetwork.Rmd)
 
 ## Classification

diff --git a/docs/packages/r/mnistCompetition.md b/docs/packages/r/mnistCompetition.md
@@ -5,7 +5,7 @@ Handwritten Digits Classification Competition
 We will present the basic usage of [mxnet](https://github.com/dmlc/mxnet/tree/master/R-package) to compete in this challenge.
 
 This tutorial is written in Rmarkdown. You can download the source [here](https://github.com/dmlc/mxnet/blob/master/R-package/vignettes/mnistCompetition.Rmd) and view a
-hosted version of tutorial [here](http://mxnet.readthedocs.org/en/latest/R-package/mnistCompetition.html).
+hosted version of tutorial [here](http://mxnet.readthedocs.io/en/latest/packages/r/mnistCompetition.html).
 
 ## Data Loading