Hi all
     I'm trying to use spark ml to do some prediction with random forest. By reading the example code https://github.com/apache/spark/blob/master/examples/src/main/java/org/apache/spark/examples/ml/JavaRandomForestClassifierExample.java , I can only find out it's similar to https://github.com/apache/spark/blob/master/examples/src/main/java/org/apache/spark/examples/ml/JavaDecisionTreeClassificationExample.java. Is random forest algorithm suppose to use multiple decision trees to work. 
     I'm new about spark and ml. Is there  anyone help me, maybe provide example about using multiple decision trees in random forest in spark

Best Regards