I have a Vectorset that scores a x, the score is a float and the blackbox is another Programm. I want to try and improve the score by changing the Vectorisation. I don’t know what a better vectorisation could look like therefore its unsupervised and should learn from the score it gets. What machine learning approach would you suggest? and is the loss-function the negativ score?