H2O is an open source, in-memory, distributed, fast, and scalable machine learning and predictive analytics platform that allows you to build machine learning models on big data and provides easy productionalization of those models in an enterprise environment. - http://docs.h2o.ai/h2o/latest-stable/h2o-docs/welcome.html
In order to install H2O simply type:
k3ai apply h2o-single
This will deploy a single node instance of the h2o platform.
You may monitor the status of the pod with:
kubectl get pod -n h2o
#Output should be similar to this
NAME READY STATUS RESTARTS AGE
h2o-stateful-set-0 1/1 Running 0 2m19s
To access it type:
kubectl port-forward -n h2o svc/h2o-service 54321:54321
Point your browser to either localhost or your cluster ip (i.e.: http://localhost:54321\) you should see something like this