I am studying a system that would make predictions for the value of a house. By using Dataiku, I already know how to go far, the software is powerful... BUT!
I realize that the software does not allow "multiple interpolated predictions (matrix prediction)"
To express myself better, here is an example of features
House: Square meter at main floor 0
House: Numbers of floor
House: Luminosity (% of windows, regarding to the concrete walls)
Garden: square meter
Garden: secluded (closed)
Area: Quiet indice
Area: Convenience (proximity of school, shop, etc)
today, if i want to have a prediction on price or floor space, i have to create a prediction, choose the features, run it, and finally i would have my prediction... but which will be highly rigid and inflexible on the amount of basic features. (with this prediction, tomorrow I couldn't estimate the price if I don't have all the features)
My idea: create a new type of automated prediction, with the 9 features as input, and as output, hundreds of predictions for each feature depending on the possible configuration of the other features