Matrix dimension problems in Genetic programming. N.B I am not referring to Genetic algorithm
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I am implementing the genetic programming toolbox version 2 from https://sites.google.com/site/gptips4matlab/home to generate model structures for a set of data. In the zip folder, I have my dataset and configuration file as well as my function file labelled as Opinionmining_dataset, gpdemo5_config.m and gpdemo5.m . By following the examples specifically demo4. I made my own demo which is the demo5. The problem I have now is when I run the mygpdemo5.m. it runs to a certain point and gives me the error below. I would be glad if anyone could assist. Thank you.
Index exceeds matrix dimensions.
Error in gpmodel2struct>regressmulti_fitfun_full_stats (line 477)
eval(['geneOutputsTest(:,ind)=' evalstr{i} ';']);
Error in gpmodel2struct (line 253)
gpmodel = regressmulti_fitfun_full_stats(gpmodel,evaltreestrs,gp,rtnVals,tbxStats);
Error in gpfinalise (line 63)
gpmodel = gpmodel2struct(gp,i,false,false,false);
Error in rungp (line 148)
gp = gpfinalise(gp);
5 Comments
Walter Roberson
on 14 Aug 2018
The code depends heavily on eval(). I recommend throwing it away.
Honey Adams
on 14 Aug 2018
Honey Adams
on 14 Aug 2018
Walter Roberson
on 14 Aug 2018
I did run the code. It fails on
eval(['geneOutputsTest(:,ind)=' evalstr{i} ';']);
when evalstr{i} is 'minus(minus(gp.userdata.xtest(:,5),exp(gp.userdata.xtest(:,3))),square(square(gp.userdata.xtest(:,4))))' but gp.userdata.xtest is something with only one column instead of 5.
I traced back, and the use of eval() is hard-wired into the way that the code works. It generates random character vectors and does random text replacement on them, and does mutations and cross-overs at the text level. The code would require some concerted effort to be rewritten to avoid using eval().
Honey Adams
on 14 Aug 2018
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