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 Scala kernel for Jupyter
Setup BeakerX on Linux / Ubuntu¶
Prerequisites:
- Python 3
- JDK 8
Installation using pip:
pip install beakerx
beakerx install
Installation using Anaconda:
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.
Setup BeakerX on Mac with Docker¶
BeakerX provides a docker container image 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
Set TransmogrifAI_HOME¶
Assuming your Transmogrify source code is downloaded at /Users/johndoe/TransmogrifAI run the command:
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:
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://localhost:8888/?token=<sometoken>
On opening the image in the browser you will notice that in the home page
notebook_home
“helloworld-notebooks” mounted folder (/home/beakerx/helloworld-notebooks) is where all our samples are located.
helloworld_notebooks
Sample Notebooks¶
Following notebooks are currently available:
op_titanic
op_iris