Machine Learning on LE via Jupyter

overview running the application using the downloaded tar file after checkout, a tar gz file is expected to be downloaded log in to your litmusedge, navigate to applications > images click on upload image and upload the tar file there navigate to applications > containers and enter the following command there docker run p 8888 8888 v /var/lib/loopedge analytics2/models/ /home/loopedge/work/notes/savedmodels \<imgname> \<tagname> here we are asking the container to run on port 8888 , with api token passed as an environment variable, and using imgname and tagname respectively we are also using v to volume mount the savedmodels folder to analytics, so that we can automatically get our saved model in analytics without any additional steps access the application by going to a new tab in browser, and writing current le ip address, followed by 8888 for example if the application is running on an le with ip address 10 17 10 27 , one would type 10 17 10 27 8888 in a new tab of browser to access the application