docker run -it --name h2o-test -p 54321:54321 -p 54322:54322 openjdk:8 bash wget http://h2o-release.s3.amazonaws.com/h2o/rel-yau/1/h2o-3.26.0.1.zip unzip h2o-3.26.0.1.zip cd h2o-3.26.0.1 java -jar h2o.jar
Point your browser to http://localhost:54321
docker start h2o-test -ai cd home/h2o-3.26.0.1 java -jar h2o.jar
Point your browser to http://localhost:54321
docker-compose up copy the jupyter url into your browser.
you still can go to http://localhost:54321 to use h2o flow.
when you are done: docker-compose down
Note: The entrypoint in the docker-compose file for the h2o service uses -Xmx8g that set the maximum amount of memory that the java virtual machine is able to use. If this is not set then by default it uses 2gb.
The test notebook contains an AutoML example.