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Hi, is it possible to update the dataset which is used in the ML experiment?
I have training data that is updated every day and (possibly) new rows are added. What I would like to achieve is to use the same ML experiment that is already setup, and just see that the training dataset was updated, run the new version and deploy a better model.
But, when I look at the experiment's dataset overview, I see that it didn't update and only initial values are taken into training.
Or is this just not accurate and autoML will take new data into consideration when I run the next version of the experiment?
I researched it from multiple angles and figured out that this is currently not possible. I also realized that it would be helpful to be able to update the available ML deployment by a new version of a model.
I summarized both suggestions in a new idea: