title: transfer Learning in regression for similar domain but different distr
body: <p>I am currently working on a KDD project aiming to build a predictor with very small real world data.
  The goal is to predict to predict the quantity Y of an instance of an Product while knowing other quantities of this instance.
  There are Predictors (same Task) trained on similar (not the same) products. Those Models are valid for their use-case.</p>
  <p>My approach is to use large datasets of other products (similar domain, similar task but different distributions) and adapt those to the target domain using transfer Learning.</p>
  <p>At this pint I am having trouble finding methods/algorithms fitting my needs.
  Looking at the decision tree <a href="https://i.stack.imgur.com/KHpvx.png" rel="nofollow noreferrer">1</a> it should be a domain adaption problem.</p>
  <p>What algorithm or Model is suited for this kind of usecase?</p>