Back in 2007 I was working on code on chemical spectroscopy that was supposed to “automatically” determine safe Vs contaminated product through ML models. It always worked ok for a bit then as parmetrs changed (hotter day, new precursor) so you retrain model, the model would extend and just break down.
This always seems to happen in modelling.
Back in 2007 I was working on code on chemical spectroscopy that was supposed to “automatically” determine safe Vs contaminated product through ML models. It always worked ok for a bit then as parmetrs changed (hotter day, new precursor) so you retrain model, the model would extend and just break down.