title: How to scale single sample for prediction in sklearn?
body: <p>I have a set of scaled data that is already fit to a regression model.</p>
  
  <p>When introducing a single sample to be predicted, how are you meant to scale this input prior to prediction?</p>
  
  <p>I could <code>concat</code> to the original dataframe, re-scale and extract the bottom row. But is that not creating data leakage? Right? Also I would have to refit the model?</p>
  
  <p>What is the correct way to deal with this situation?</p>