Once you have ML Studio installed, find out its the IP address to access it, login and start building.
kubectl get svc istio-ingressgateway -n istio-system
USER: adminPASSWORD: password
We recommend using
conda to manage all your conda environment but you are free to use others.
Start a new terminal session under
conda create --name py3 python=3.7 -y
Before you can use this new python enviorment in your notebooks, you need to make Jupyter aware of it first.
conda activate testipython kernel install --user --name=py3
Finally, refresh ML Studio web app for your changes to take effect.