Known bugs

While we always try to test each release as much as we can, inevitably some bugs will always slip through unnoticed. This page only shows the most important bugs that have surfaced after the release was made.

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Version 6.2

Bug	There is a small error in LRMMeasure that slows the modeling process if LRM is used together with another measure.
Status	Fixed in next version
Workaround	In src/matlab/measures/@LRMMeasure/calculateMeasure.m, replace line 204 by: dtot(:,k) = (sum(d,1) ./ numTp) + dtot(:,k);

Version 6.1.1

Bug	When modeling complex data, depending on the measure/error function used, the model generation process my be sub-optimal in some cases
Status	Fixed in next version
Workaround	Execute the error function you use (default = beeq) with a couple of complex numbers. The result must be a real number (non-complex). If this is not the case, fix the function (or ask us to send you a new one) or use a different function (also make sure to test it).

Version 6.1

Bug	When using the LS-SVM models and you have not compiled the mex files the toolbox crashes with "Too many open files".
Status	Fixed in next version
Workaround	In /src/matlab/contrib/LS-SVMlab/trainlssvm.m replace on line 259 the text 'model.implementation=''CFILE'' with the text 'model.implementation=''MATLAB''

Bug	The ParetoModelBuilder can crash with "unknown function createModelFromIndividual()".
Status	Fixed in next version
Workaround	Replace the offending line (line 70 in modelbuilders/@ParetoModelbuilder/runLoop.m) with: "model = createModel(getModelFactory(s), populationEntry);". Make also sure that you have set the option paretoMode="true".

Bug	When building models multi-objectively the toolbox uses a lot of diskspace and signals a lot of new best models
Status	Fixed in next version
Workaround	Remove in modelbuilders/@AdaptiveModelbuilder/private/orderBestModels.m, the condition "length(s.bestModels) == 1" so the if looks like "if ( oldBestModelId ~= newBestModelId )"