labeling is like the most petition and so it's the most easy to use and the idea is pretty straightforward so we have the label data we train Air model like some supermodel one when this label data and afterwards we just make the prediction spawns and label data and actually these predictions are already through the labels so we treat all the test observations is that we have predicted by our model as to the labels and then we could some kind of concatenate these two data sets so initial data and our predictions made by