Moved Jupyter guide to docs (#242)

salesforce · Mar 19, 2019 · 418d485 · 418d485
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diff --git a/docs/examples/Running-from-Jupyter-Notebook.md b/docs/examples/Running-from-Jupyter-Notebook.md
@@ -0,0 +1,103 @@
+# Running from Jupyter Notebook
+
+In this section we will look at how TransmogrifAI can be run within Scala notebooks on
+Jupyter.
+
+We are going to leverage [BeakerX](http:https://beakerx.com/) Scala kernel for Jupyter
+
+## Setup BeakerX on Linux / Ubuntu
+
+Prerequisites:
+
+* Python 3
+* JDK 8
+
+Installation using `pip`:
+
+```$xslt
+pip install beakerx
+beakerx install
+```
+
+Installation using [Anaconda](https://www.anaconda.com/distribution/):
+
+```$xslt
+conda create -y -n beakerx 'python>=3'
+source activate beakerx
+conda config --env --add pinned_packages 'openjdk=8.0.152'
+conda install -y -c conda-forge ipywidgets beakerx
+```
+
+Reference : [BeakerX Documentation](http:https://beakerx.com/documentation).
+
+## Setup BeakerX on Mac with Docker
+
+BeakerX provides a [docker container image](https://hub.docker.com/r/beakerx/beakerx/) on docker hub.
+
+### Increase the RAM available to Docker container
+
+Increase the Memory available to docker containers from the docker UI as shown below
+
+![docker-settings][docker-settings]
+
+[docker-settings]: https://github.com/salesforce/TransmogrifAI/raw/master/resources/docker_memory_settings.png
+
+### Set TransmogrifAI_HOME
+
+Assuming your Transmogrify source code is downloaded at `/Users/johndoe/TransmogrifAI` run the command:
+
+```bash
+export TransmogrifAI_HOME="/Users/johndoe/TransmogrifAI"
+```
+
+We need the directory above so that we can mount sample notebooks and dataset
+into the container using docker volumes.
+
+### Run the BeakerX Container
+
+You can use the `docker run` command to start the container as follows:
+
+```bash
+docker run -p 8888:8888 -v $TransmogrifAI_HOME/helloworld/notebooks:/home/beakerx/helloworld-notebooks \
+-v $TransmogrifAI_HOME/helloworld:/home/beakerx/helloworld --name transmogrifai-container beakerx/beakerx
+```
+
+This will download the image (which takes a few minutes first time) and start the container. It will also publish the url
+and the token to access the container
+
+Sample url is shown below.
+
+```
+http:https://localhost:8888/?token=<sometoken>
+```
+
+On opening the image in the browser you will notice that in the home page
+
+![notebook_home][notebook_home]
+
+"helloworld-notebooks" mounted folder (`/home/beakerx/helloworld-notebooks`) is where all our samples are located.
+
+![helloworld_notebooks][helloworld_notebooks]
+
+[notebook_home]: https://github.com/salesforce/TransmogrifAI/raw/master/resources/notebook_home.png
+[helloworld_notebooks]: https://github.com/salesforce/TransmogrifAI/raw/master/resources/helloworld_notebooks.png
+
+
+### Sample Notebooks
+
+Following notebooks are currently available:
+
+#### Titanic Binary Classification
+
+[OpTitanicSimple.ipynb](http:https://localhost:8888/notebooks/helloworld-notebooks/OpTitanicSimple.ipynb)
+
+![op_titanic][op_titanic]
+
+#### Iris MultiClass Classification
+
+[OpIris.ipynb](http:https://localhost:8888/notebooks/helloworld-notebooks/OpIris.ipynb)
+
+![op_iris][op_iris]
+
+[op_titanic]: https://github.com/salesforce/TransmogrifAI/raw/master/resources/op_titanic.png
+[op_iris]: https://github.com/salesforce/TransmogrifAI/raw/master/resources/op_iris.png
diff --git a/docs/examples/index.rst b/docs/examples/index.rst
@@ -12,4 +12,5 @@ Examples
  Time-Series-Aggregates-and-Joins
  Conditional-Aggregation
  Running-from-Spark-Shell
+ Running-from-Jupyter-Notebook
  Bootstrap-Your-First-Project
diff --git a/helloworld/notebooks/README.md b/helloworld/notebooks/README.md
@@ -1,104 +1,3 @@
 # TransmogrifAI on Jupyter
 
-In this section we will look at how TransmogrifAI can be run within Scala notebooks on
-Jupyter.
-
-We are going to leverage [BeakerX](http:https://beakerx.com/) Scala kernel for Jupyter
-
-## Setup BeakerX on Linux / Ubuntu
-
-Prequisities :
-
-* Apache Maven
-* Python 3
-* JDK 8
-
-Installation using pip
-
-```$xslt
-sudo pip install beakerx
-sudo beakerx install
-```
-
-Installation using conda
-
-```$xslt
-conda create -y -n beakerx 'python>=3'
-source activate beakerx
-conda config --env --add pinned_packages 'openjdk>8.0.121'
-conda install -y -c conda-forge ipywidgets beakerx
-```
-
-Reference : [BeakerX Documentation](http:https://beakerx.com/documentation)
-
-## Setup BeakerX on Mac with Docker
-
-BeakerX provides a [docker container image](https://hub.docker.com/r/beakerx/beakerx/) on docker hub. 
-
-Assuming your Transmogrify source code is downloaded at `/Users/rdua/work/github/rajdeepd/TransmogrifAI`. You can use 
-the `docker run` command to start the container. 
-
-We need the directory above so that we can mount sample notebooks and dataset
-into the container using docker volumes.
-
-### Increase the RAM available to Docker container
-
-Increase the Memory available to docker containers from the docker UI as shown below
-
-
-![docker-settings][docker-settings]
-
-[docker-settings]: ./images/docker_memory_settings.png 
-
-### Set TransmogrifaiPATH
-
-```bash
-export TransmogrifaiPATH=<TransmogrifAI installation dir>
-```
-
-### Run the beakerx Container 
-
-```bash
-docker run -p 8888:8888 -v $TransmogrifaiPATH/helloworld/notebooks:/home/beakerx/helloworld-notebooks \
--v $TransmogrifaiPATH/helloworld:/home/beakerx/helloworld --name transmogrifai-container beakerx/beakerx
-```
-
-This will download the image (which takes a few minutes first time) and start the container. It will also publish the url
-and the token to access the container
-
-Sample url is shown below.
-
-```
-http:https://localhost:8888/?token=<sometoken>
-```
-
-On opening the image in the browser you will notice that in the home page
-
-![notebook_home][notebook_home]
-
-helloworld-notebooks mounted folder (`/home/beakerx/helloworld-notebooks`)is where all our samples are located.
-
-![helloworld_notebooks][helloworld_notebooks]
-
-[notebook_home]: ./images/notebook_home.png 
-[helloworld_notebooks]: ./images/helloworld_notebooks.png 
-
-
-### Sample Notebooks
-
-Following notebooks are currently available
-
-#### OpTitanicSimple
-
-[OpTitanicSimple.ipynb](http:https://localhost:8888/notebooks/helloworld-notebooks/OpTitanicSimple.ipynb)
-
-![op_titanic][op_titanic]
-
-#### OpIris
-
-[OpIris.ipynb](http:https://localhost:8888/notebooks/helloworld-notebooks/OpIris.ipynb)
-
-![op_iris][op_iris]
-
-[op_titanic]: ./images/op_titanic.png 
-[op_iris]: ./images/op_iris.png 
+Follow [this guide](https://docs.transmogrif.ai/en/stable/examples/Running-from-Jupyter-Notebook.html) to run TransmogrifAI from Jupyter Notebook.
diff --git a/...tebooks/images/docker_memory_settings.png → resources/docker_memory_settings.png b/...tebooks/images/docker_memory_settings.png → resources/docker_memory_settings.png
diff --git a/...notebooks/images/helloworld_notebooks.png → resources/helloworld_notebooks.png b/...notebooks/images/helloworld_notebooks.png → resources/helloworld_notebooks.png
diff --git a/...oworld/notebooks/images/notebook_home.png → resources/notebook_home.png b/...oworld/notebooks/images/notebook_home.png → resources/notebook_home.png
diff --git a/helloworld/notebooks/images/op_iris.png → resources/op_iris.png b/helloworld/notebooks/images/op_iris.png → resources/op_iris.png
diff --git a/helloworld/notebooks/images/op_titanic.png → resources/op_titanic.png b/helloworld/notebooks/images/op_titanic.png → resources/op_titanic.png