For homework, I was given data to create/train a predictor that uses lasso regression. I create the predictor and train it using the lasso python library from scikit learn.
So now I have this predictor that when given input can predict the output.
The second questions was to "Extend your predictor to report the confidence interval of the prediction by using the bootstrapping method."
I've looked around and found examples of people doing this for the mean and other things.
But I am completely lost on how I'm suppose to do it for a prediction. I am trying to use the scikit-bootstrap library.
The course staff is being extremely unresponsive, so any help is appreciated. Thank you.