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
Thanks
Best Regards
Patrick
