Hi All,
Is there any example of MLlib decision tree handling categorical variables? My 
dataset includes few categorical variables (20 out of 100 features) so was 
interested in knowing how I can use the current version of decision tree 
implementation to handle this situation? I looked at the LabeledData and not 
sure if that the way to go..                                      

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