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  1. Plugins

H2O

PreviousJupyter NotebookNextCivo Cloud

Last updated 4 years ago

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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. -

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

http://docs.h2o.ai/h2o/latest-stable/h2o-docs/welcome.html