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Adding kernel to default jupyter notebook ML&AI
I am using several packages which require python 2.x rather than python 3.x which comes installed by default with the Machine Learning & AI app droplet. I have installed conda, created conda environments using python 2.x etc.. However, these environments are not appearing in the jupyter notebook that is launched by default by the server (which I didn’t expect them to)
Is there any way to activate one of my conda environments and have the default notebook tree reflect these environments (e.g. python 2.7 with packages x y and z available). I understand I could open up an SSH tunnel and host it on another port but I was hoping to use the default notebook on 8888