Model deployment, update values and predictions

I have developed a predictive model and I want to deploy it. I’m looking to create a data app that will allow me to input values and update the predictions. Is there a sample workflow that I can use as a reference? I would like the model to use the averages of the original data, and then I can update (overwrite) the values to predict performance. I understand that widgets are used to update a table, but I also hope that the headers can be automatically updated with the values in the model so that if new fields are added, the predicted input table will automatically include the new field names. I assume the data app would allow me to input the new values, then click a button for the predictive model to run and update the predictions. Any help would be greatly appreciated - I’m not finding anything.

Hi @ebarr

Take a look at the concept of Ingrated Deployment.

gr. Hans

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