Handling time granularity using the forecast recipe

Partner, Dataiku DSS Core Designer, Dataiku DSS & SQL, Dataiku DSS ML Practitioner, Dataiku DSS Core Concepts, Registered Posts: 14 Partner
Hello,

I am trying to do a forecast using the recipe. The input I've got is sampled at hour granularity. The problem is that I do not have values for every hour. If there is no value, it should just keep the one from the row/hour before, because that means that no change has occured. But when using the recipe, I can only choose to use a fixed value or interpolate. This does not refelct my data in an appropriate way. Is there any way how to fix that?

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