Usage

Once you have ML Studio installed, find out its the IP address to access it, login and start building.
Find the IP to access ML Studio
kubectl get svc istio-ingressgateway -n istio-system
Log in as an admin user
  USER: admin
  PASSWORD: password
Work directory
ML Studio root work directory can be access at /home/jovyan/work inside jupyter pods and /home/work inside other pods.
All files you would like persisted should live under this directory.
How to manage your python environment 
We recommend using conda to manage all your conda environment but you are free to use others.
base conda environment will not get persisted
Create a new environment 
Start a new terminal session under Notebooks
conda create --name py3 python=3.7 -y
Add it as a new Jupyter kernel
Before you can use this new python enviorment in your notebooks, you need to make Jupyter aware of it first.
conda activate test                   
​
ipython kernel install --user --name=py3
Finally, refresh ML Studio web app for your changes to take effect.
Install - Previous
ML Studio
Cleanup
Last updated 1 year ago