Merge branch 'master' of https://github.com/h2oai/h2o-world-2015-training

bghill · bghill · commit cd023316a91d · 2015-11-07T14:41:06.000-08:00
# By Arno Candel # Via Arno Candel * 'master' of https://github.com/h2oai/h2o-world-2015-training: Add URL to HTML. Add Github URL to py Add URL to raw files.
diff --git a/tutorials/deeplearning/README.md b/tutorials/deeplearning/README.md
@@ -14,7 +14,7 @@
 * Deep Learning Tips & Tricks
 
 ## Introduction
-This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. This tutorial covers usage of H2O from R. A python version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown and regular markdown formats, and the plots are available as PDF files. 
+This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. This tutorial covers usage of H2O from R. A python version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown and regular markdown formats, and the plots are available as PDF files. All documents are available [on Github](https://github.com/h2oai/h2o-world-2015-training/raw/master/tutorials/deeplearning/).
 
 If run from plain R, execute R in the directory of this script. If run from RStudio, be sure to setwd() to the location of this script. h2o.init() starts H2O in R's current working directory. h2o.importFile() looks for files from the perspective of where H2O was started.
 
diff --git a/tutorials/deeplearning/deeplearning.R b/tutorials/deeplearning/deeplearning.R
@@ -14,7 +14,7 @@
 #* Deep Learning Tips & Tricks
 #
 ### Introduction
-#This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. This tutorial covers usage of H2O from R. A python version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown and regular markdown formats, and the plots are available as PDF files. 
+#This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. This tutorial covers usage of H2O from R. A python version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown and regular markdown formats, and the plots are available as PDF files. All documents are available [on Github](https://github.com/h2oai/h2o-world-2015-training/raw/master/tutorials/deeplearning/).
 #
 #If run from plain R, execute R in the directory of this script. If run from RStudio, be sure to setwd() to the location of this script. h2o.init() starts H2O in R's current working directory. h2o.importFile() looks for files from the perspective of where H2O was started.
 #
diff --git a/tutorials/deeplearning/deeplearning.Rmd b/tutorials/deeplearning/deeplearning.Rmd
@@ -14,7 +14,7 @@
 * Deep Learning Tips & Tricks
 
 ## Introduction
-This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. This tutorial covers usage of H2O from R. A python version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown and regular markdown formats, and the plots are available as PDF files. 
+This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. This tutorial covers usage of H2O from R. A python version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown and regular markdown formats, and the plots are available as PDF files. All documents are available [on Github](https://github.com/h2oai/h2o-world-2015-training/raw/master/tutorials/deeplearning/).
 
 If run from plain R, execute R in the directory of this script. If run from RStudio, be sure to setwd() to the location of this script. h2o.init() starts H2O in R's current working directory. h2o.importFile() looks for files from the perspective of where H2O was started.
 
diff --git a/tutorials/deeplearning/deeplearning.html b/tutorials/deeplearning/deeplearning.html
@@ -79,7 +79,7 @@ <h1>Classification and Regression with H2O Deep Learning</h1>
 </ul>
 <div id="introduction" class="section level2">
 <h2>Introduction</h2>
-<p>This tutorial shows how a H2O <a href="http://en.wikipedia.org/wiki/Deep_learning">Deep Learning</a> model can be used to do supervised classification and regression. This tutorial covers usage of H2O from R. A python version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown and regular markdown formats, and the plots are available as PDF files.</p>
+<p>This tutorial shows how a H2O <a href="http://en.wikipedia.org/wiki/Deep_learning">Deep Learning</a> model can be used to do supervised classification and regression. This tutorial covers usage of H2O from R. A python version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown and regular markdown formats, and the plots are available as PDF files. All documents are available <a href="https://github.com/h2oai/h2o-world-2015-training/raw/master/tutorials/deeplearning/">on Github</a>.</p>
 <p>If run from plain R, execute R in the directory of this script. If run from RStudio, be sure to setwd() to the location of this script. h2o.init() starts H2O in R’s current working directory. h2o.importFile() looks for files from the perspective of where H2O was started.</p>
 <p>More examples and explanations can be found in our <a href="http://h2o.ai/resources/">H2O Deep Learning booklet</a> and on our <a href="http://github.com/h2oai/h2o-3/">H2O Github Repository</a>. The PDF slide deck can be found <a href="https://github.com/h2oai/h2o-world-2015-training/raw/master/tutorials/deeplearning/H2ODeepLearning.pdf">on Github</a>.</p>
 <div id="h2o-r-package" class="section level3">
diff --git a/tutorials/deeplearning/deeplearning.ipynb b/tutorials/deeplearning/deeplearning.ipynb
@@ -5,7 +5,7 @@
    "metadata": {},
    "source": [
     "# Introduction\n",
-    "This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. This tutorial covers usage of H2O from Python. An R version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown, regular markdown, plain Python and iPython Notebook formats, and the plots are available as PDF files. More examples and explanations can be found in our [H2O Deep Learning booklet](http://h2o.ai/resources/) and on our [H2O Github Repository](http://github.com/h2oai/h2o-3/).\n"
+    "This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. This tutorial covers usage of H2O from Python. An R version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown, regular markdown, plain Python and iPython Notebook formats, and the plots are available as PDF files. All documents are available [on Github](https://github.com/h2oai/h2o-world-2015-training/raw/master/tutorials/deeplearning/). More examples and explanations can be found in our [H2O Deep Learning booklet](http://h2o.ai/resources/) and on our [H2O Github Repository](http://github.com/h2oai/h2o-3/).\n"
    ]
   },
   {
diff --git a/tutorials/deeplearning/deeplearning.md b/tutorials/deeplearning/deeplearning.md
@@ -14,7 +14,7 @@
 * Deep Learning Tips & Tricks
 
 ## Introduction
-This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. This tutorial covers usage of H2O from R. A python version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown and regular markdown formats, and the plots are available as PDF files. 
+This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. This tutorial covers usage of H2O from R. A python version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown and regular markdown formats, and the plots are available as PDF files. All documents are available [on Github](https://github.com/h2oai/h2o-world-2015-training/raw/master/tutorials/deeplearning/).
 
 If run from plain R, execute R in the directory of this script. If run from RStudio, be sure to setwd() to the location of this script. h2o.init() starts H2O in R's current working directory. h2o.importFile() looks for files from the perspective of where H2O was started.
 
diff --git a/tutorials/deeplearning/deeplearning.py b/tutorials/deeplearning/deeplearning.py
@@ -2,7 +2,7 @@
 # coding: utf-8
 
 # # Introduction
-# This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. This tutorial covers usage of H2O from Python. An R version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown, regular markdown, plain Python and iPython Notebook formats, and the plots are available as PDF files. More examples and explanations can be found in our [H2O Deep Learning booklet](http://h2o.ai/resources/) and on our [H2O Github Repository](http://github.com/h2oai/h2o-3/).
+# This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. This tutorial covers usage of H2O from Python. An R version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown, regular markdown, plain Python and iPython Notebook formats, and the plots are available as PDF files. All documents are available [on Github](https://github.com/h2oai/h2o-world-2015-training/raw/master/tutorials/deeplearning/). More examples and explanations can be found in our [H2O Deep Learning booklet](http://h2o.ai/resources/) and on our [H2O Github Repository](http://github.com/h2oai/h2o-3/).
 # 
 
 # ### H2O Python Module

Original file line number	Diff line number	Diff line change
`@@ -14,7 +14,7 @@`
`14`	`14`	`#* Deep Learning Tips & Tricks`
`15`	`15`	`#`
`16`	`16`	`### Introduction`
`17`		`-#This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. This tutorial covers usage of H2O from R. A python version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown and regular markdown formats, and the plots are available as PDF files.`
	`17`	+#This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. This tutorial covers usage of H2O from R. A python version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown and regular markdown formats, and the plots are available as PDF files. All documents are available [on Github](https://github.com/h2oai/h2o-world-2015-training/raw/master/tutorials/deeplearning/).
`18`	`18`	`#`
`19`	`19`	`#If run from plain R, execute R in the directory of this script. If run from RStudio, be sure to setwd() to the location of this script. h2o.init() starts H2O in R's current working directory. h2o.importFile() looks for files from the perspective of where H2O was started.`
`20`	`20`	`#`
Original file line number	Diff line number	Diff line change
`@@ -5,7 +5,7 @@`
`5`	`5`	`"metadata": {},`
`6`	`6`	`"source": [`
`7`	`7`	`"# Introduction\n",`
`8`		- "This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. This tutorial covers usage of H2O from Python. An R version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown, regular markdown, plain Python and iPython Notebook formats, and the plots are available as PDF files. More examples and explanations can be found in our [H2O Deep Learning booklet](http://h2o.ai/resources/) and on our [H2O Github Repository](http://github.com/h2oai/h2o-3/).\n"
	`8`	+ "This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. This tutorial covers usage of H2O from Python. An R version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown, regular markdown, plain Python and iPython Notebook formats, and the plots are available as PDF files. All documents are available [on Github](https://github.com/h2oai/h2o-world-2015-training/raw/master/tutorials/deeplearning/). More examples and explanations can be found in our [H2O Deep Learning booklet](http://h2o.ai/resources/) and on our [H2O Github Repository](http://github.com/h2oai/h2o-3/).\n"
`9`	`9`	`]`
`10`	`10`	`},`
`11`	`11`	`{`
Original file line number	Diff line number	Diff line change
`@@ -2,7 +2,7 @@`
`2`	`2`	`# coding: utf-8`
`3`	`3`
`4`	`4`	`# # Introduction`
`5`		-# This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. This tutorial covers usage of H2O from Python. An R version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown, regular markdown, plain Python and iPython Notebook formats, and the plots are available as PDF files. More examples and explanations can be found in our [H2O Deep Learning booklet](http://h2o.ai/resources/) and on our [H2O Github Repository](http://github.com/h2oai/h2o-3/).
	`5`	+# This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. This tutorial covers usage of H2O from Python. An R version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown, regular markdown, plain Python and iPython Notebook formats, and the plots are available as PDF files. All documents are available [on Github](https://github.com/h2oai/h2o-world-2015-training/raw/master/tutorials/deeplearning/). More examples and explanations can be found in our [H2O Deep Learning booklet](http://h2o.ai/resources/) and on our [H2O Github Repository](http://github.com/h2oai/h2o-3/).
`6`	`6`	`#`
`7`	`7`
`8`	`8`	`# ### H2O Python Module`