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"C parser for decision trees"

Legacy UserLegacy User Member Posts: 0 Newbie
edited May 2019 in Help
Hi,

I'm generating decision trees which are constructed from a CSV file. The content
of the file (examples for my training set) looks as follows:

a  b  c  label
1  3  5  0
3  5  2  1
...

The decision tree represents a classification that is used to steer
a particular routine within a C++ program. The column notations (a,b,c)
are real variables within the routine. Up to now, I had to translate
the decision tree by hand into equivalent if-then-else C++ statements.
This is very tedious for larger trees. Moreover, I would like to use the
leave-one-one cross-validation for which I have to generate as many
decision trees as many examples I have. This cannot be done manually
in an acceptable amount of time.

Do you know a way how to automatically translate RapidMiner's decision
trees into C++ code like
if( a < 10 ) {
  if( b > 20 )
    return true;
  else if(  c < 100 )
  return false;
}

Maybe there is a  parser plug-in for that.

Thank you for your help.

Regards,
Tim
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Answers

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    IngoRMIngoRM Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, Community Manager, RMResearcher, Member, University Professor Posts: 1,751 RM Founder
    Hi Tim,

    I am sorry but I am not aware of any implementation of that. Maybe somebody else?

    Cheers,
    Ingo
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