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..
- Decision tree: categorical variables Sameer Tilak
- Re: Decision tree: categorical variables Xiangrui Meng
- FW: Decision tree: categorical variables Sameer Tilak
- RE: Decision tree: categorical variables Sameer Tilak