title: Accessing gradient boosting tree weights in fitted model
body: <p>Gradient Boosting learns a function that looks something like this:</p>
  
  <pre><code>F(X) = W1*T1(X) + W2*T2(X) + ... + Wi*Ti(X)
  </code></pre>
  
  <p>where Wi are weights and Ti are weak learners (decision trees). I know how to extract the individual Ti (estimators_ property) from a fitted gradient boosting model in scikit-learn, but is there a way to extract the Wi?</p>