title: How to visualize a Regression Tree in Python
body: <p>I'm looking to visualize a <strong>regression</strong> tree built using any of the ensemble methods in scikit learn (gradientboosting regressor, random forest regressor,bagging regressor).
  <a href="https://stackoverflow.com/questions/44835199/scikit-learn-decision-trees-regression-retrieve-all-samples-for-leaf-not-mean">I've looked at this question</a> which comes close, and <a href="https://stackoverflow.com/questions/27817994/visualizing-decision-tree-in-scikit-learn">this question</a>
  which deals with classifier trees. But these questions require the 'tree' method, which is not available to the regression models in SKLearn.</p>
  
  <p>but it didn't seem to yield a result. 
  I'm running into issues because there is no <code>.tree</code> method for the regression versions of these trees (the method only exists for the classification versions).
  I'd like an output resembling <a href="https://stackoverflow.com/questions/17460595/how-do-i-make-a-regression-tree-like-this">this</a> but based on a sci kit learn-constructed tree.</p>
  
  <p>I've explored the methods associated with the objects but just cannot produce an answer. </p>