Getting the distribution of values at the leaf node for a DecisionTreeRegressor in scikit-learn
<p>By default, a scikit-learn DecisionTreeRegressor returns the mean of all target values from the training set in a given leaf node. </p>

<p>However, I am interested in getting back the list of target values from my training set that fell into the predicted leaf node. This will allow me to quantify the distribution, and also calculate other metrics like standard deviation.</p>

<p>Is this possible using scikit-learn?</p>