augmentations, from training data

We thank the reviewers for thoughtful feedback. Thank you for the constructive review, we appreciate the feedback and will incorporate the suggestions accordingly. We also note that for Augerino to be applicable we need only the invariance to be represented by a group transformation. We thank the reviewer for the constructive comments and ideas for extensions. One of the key strengths of Augerino is its ability to be combined freely with any model.