pattern let me just quickly go back and see um i think it's in the next slide so we can look yeah it's 0.5 so what they they've tuned it uh to sharpen the picture sharpen the the prediction then they tune in the alpha parameter to have a proper mix up of the labeled and unlabeled data and they form in a big bunch of mixed data set which has unlabeled as well as label data set and i think we've been just talking too much of labeled and unlabeled this is the most important factor of a semi supervised learning method wherein