which means that it 's   it 's uh i It could be for instance  that for a particular point in the data  you don't want to um uh train a particular band  train the detectors for a particular band. You  you wanna ignore  that band , cuz that 's a  Ban - band is a noisy  noisy measure.
Mm - hmm.
And we don't  We 're  we 're still gonna try to train it up. In our scheme we 're gonna try to train it up to do as well  well as it can at predicting. Uh. Maybe that 's not the right thing to do.
So he doesn't have to have truth marks or  Ho