Example with ML model

Is there an example which combines ML model built with H2O/other libraries and then deployed as an App with H2O-Wave ? It would help to see an end-to-end development example which starts from a simple ML model building process and integrates with Wave.

Hi @ssss,

How about this example?

  1. https://github.com/h2oai/wave-apps/tree/main/churn-risk

It uses h2o-3 model for the churn risk prediction.

  1. https://github.com/h2oai/wave-apps/tree/main/twitter-sentiment

It uses vadersentiment package for sentiment prediction.

Hope this helps

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Thanks Sairaam. This helps.