Difference between revisions of "Known bugs"

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If you happen to encounter something not listed here, please [[reporting problems|report it]].
 
If you happen to encounter something not listed here, please [[reporting problems|report it]].
 +
 +
== Version 6.2 ==
  
  
−
== Version 5.0 ==
 
 
{| border="0" style="text-align:left"
 
{| border="0" style="text-align:left"
 
|-
 
|-
 
!'''Bug'''
 
!'''Bug'''
−
| Consecutive runs on the same dataset are not independent (can cause dataset depleted exceptions)
+
| There is a small error in LRMMeasure that slows the modeling process if LRM is used together with another measure.
 
|-
 
|-
 
!'''Status'''  
 
!'''Status'''  
−
| Fixed in SVN.
+
| Fixed in next version
 
|-
 
|-
 
!'''Workaround'''  
 
!'''Workaround'''  
−
| Wait for next release.
+
| In src/matlab/measures/@LRMMeasure/calculateMeasure.m, replace line 204 by: <source lang="matlab">dtot(:,k) = (sum(d,1) ./ numTp) + dtot(:,k);</source>
 
|-
 
|-
 
|}
 
|}
 +
 +
 +
== Version 6.1.1 ==
  
  
Line 24: Line 28:
 
|-
 
|-
 
!'''Bug'''
 
!'''Bug'''
−
| Duplicate samples and samples with NaN/Inf values are not filtered properly.
+
| When modeling complex data, depending on the measure/error function used, the model generation process my be sub-optimal in some cases
 
|-
 
|-
 
!'''Status'''  
 
!'''Status'''  
−
| Fixed in SVN.
+
| Fixed in next version
 
|-
 
|-
 
!'''Workaround'''  
 
!'''Workaround'''  
−
| Wait for next release. Simulators that may return invalid values or duplicate samples should be avoided until then.
+
| 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 ==
  
 
{| border="0" style="text-align:left"
 
{| border="0" style="text-align:left"
 
|-
 
|-
 
!'''Bug'''
 
!'''Bug'''
−
| You get the following error: "Failed to create object of type ANNGeneticInterface, error is "Undefined variable "logger" or class "logger.severe"
+
| When using the LS-SVM models and you have not compiled the mex files the toolbox crashes with "Too many open files".
 
|-
 
|-
 
!'''Status'''  
 
!'''Status'''  
−
| Fixed in SVN.
+
| Fixed in next version
 
|-
 
|-
 
!'''Workaround'''  
 
!'''Workaround'''  
−
| Simply remove the offending line or set complex handling to split or modulus (you are trying to model complex data with ANNs).
+
| In /src/matlab/contrib/LS-SVMlab/trainlssvm.m replace on line 259 the text <source lang="bash">'model.implementation=''CFILE''</source> with the text <source lang="bash">'model.implementation=''MATLAB''</source>
 
|-
 
|-
 
|}
 
|}
  
−
== Version 4.2 ==
+
 
 +
 
 
{| border="0" style="text-align:left"
 
{| border="0" style="text-align:left"
 
|-
 
|-
 
!'''Bug'''
 
!'''Bug'''
−
| Loading the random state from file gives a directory does not exist error.
+
| The ParetoModelBuilder can crash with "unknown function createModelFromIndividual()".
 
|-
 
|-
 
!'''Status'''  
 
!'''Status'''  
−
| Fixed in SVN.
+
| Fixed in next version
 
|-
 
|-
 
!'''Workaround'''  
 
!'''Workaround'''  
−
| Upgrade to the next version.
+
| 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"''.
 
|-
 
|-
 
|}
 
|}
Line 66: Line 72:
 
|-
 
|-
 
!'''Bug'''
 
!'''Bug'''
−
| When starting the toolbox for the first time you get an error like "The class ContextConfig cannot be found, make sure java is running"
+
| When building models multi-objectively the toolbox uses a lot of diskspace and signals a lot of new best models
 
|-
 
|-
 
!'''Status'''  
 
!'''Status'''  
−
| Fixed in SVN.
+
| Fixed in next version
 
|-
 
|-
 
!'''Workaround'''  
 
!'''Workaround'''  
−
| This is a bug in Matlab itself. Please [[contact]] us for instructions on how to fix this.
+
| Remove in modelbuilders/@AdaptiveModelbuilder/private/orderBestModels.m, the condition "length(s.bestModels) == 1" so the if looks like "if ( oldBestModelId ~= newBestModelId )"
 
|-
 
|-
 
|}
 
|}
  
 +
 +
<!--
 +
 +
== Version 6.0.1 ==
  
 
{| border="0" style="text-align:left"
 
{| border="0" style="text-align:left"
 
|-
 
|-
 
!'''Bug'''
 
!'''Bug'''
−
| When starting the toolbox for the first time you get an error like "The class be.ac.ua.coms.m3.config.Util has no field or method named genHash"
+
| getExpression does not work for rational models with complex outputs. It produces output different from evaluate, and evaluate is the one producing the correct output.
 
|-
 
|-
 
!'''Status'''  
 
!'''Status'''  
−
| Fixed in SVN.
+
| Fixed in next version
 
|-
 
|-
 
!'''Workaround'''  
 
!'''Workaround'''  
−
| This is a bug in Matlab itself. Please [[contact]] us for instructions on how to fix this.
+
| Please wait for release
 
|-
 
|-
 
|}
 
|}
  
 +
== Version 6.0 ==
  
 
{| border="0" style="text-align:left"
 
{| border="0" style="text-align:left"
 
|-
 
|-
 
!'''Bug'''
 
!'''Bug'''
−
| When the TestSamples measure is used without a dataset the testset is not calculated correctly!!
+
| You get an error like "No appropriate method or public field isProjectMode for class ibbt.sumo.config.ContextConfig"
 
|-
 
|-
 
!'''Status'''  
 
!'''Status'''  
−
| Fixed in SVN.
+
| Fixed in 6.0.1
 
|-
 
|-
 
!'''Workaround'''  
 
!'''Workaround'''  
−
| Replace the line 'tmp(testSet,:) = [];' by 'tmp(testSet,:) = NaN;'
+
| Please upgrade to 6.0.1
 
|-
 
|-
 
|}
 
|}
Line 108: Line 119:
 
|-
 
|-
 
!'''Bug'''
 
!'''Bug'''
−
| The optimization framework may fail in specific circumstances
+
| The Kriging models do not work with combineOutputs=true in some cases
 
|-
 
|-
 
!'''Status'''  
 
!'''Status'''  
−
| The framework is currently under redesign and a much improved, more robust, version will be released with 5.0
+
| Fixed in SVN
 
|-
 
|-
 
!'''Workaround'''  
 
!'''Workaround'''  
−
| Upgrade to 5.0 when it becomes available.
+
| Please upgrade to 6.0.1
 
|-
 
|-
 
|}
 
|}
Line 122: Line 133:
 
|-
 
|-
 
!'''Bug'''
 
!'''Bug'''
−
| The BatchModelBuilder fails with an error
+
| The automatic model type selection algorithm (heterogeneous evolution) does not work with Matlab 2008a and later
 
|-
 
|-
 
!'''Status'''  
 
!'''Status'''  
Line 128: Line 139:
 
|-
 
|-
 
!'''Workaround'''  
 
!'''Workaround'''  
−
| Simply remove the offending line
+
| Use an older Matlab version (e.g., 2007a)
 +
|-
 +
|}
 +
 
 +
== Version 5.0 ==
 +
 
 +
We have found some important bugs in 5.0 that affect various parts of the model generation process. This could mean (in some cases) that the final models you get are not really as good as they could be.  This has been fixed in 6.0 and we are working hard to release it as soon as possible.
 +
 
 +
{| border="0" style="text-align:left"
 +
|-
 +
!'''Bug'''
 +
| Consecutive runs on the same dataset are not independent (can cause dataset depleted exceptions)
 +
|-
 +
!'''Status'''
 +
| Fixed in SVN.
 +
|-
 +
!'''Workaround'''
 +
| Wait for next release.
 
|-
 
|-
 
|}
 
|}
  
−
== Version 4.1 ==
+
 
 
{| border="0" style="text-align:left"
 
{| border="0" style="text-align:left"
 
|-
 
|-
 
!'''Bug'''
 
!'''Bug'''
−
| The maximum number of samples is not respected in a correct way
+
| Duplicate samples and samples with NaN/Inf values are not filtered properly (for example you get Matrix dimension mismatch errors).
 
|-
 
|-
 
!'''Status'''  
 
!'''Status'''  
Line 142: Line 170:
 
|-
 
|-
 
!'''Workaround'''  
 
!'''Workaround'''  
−
| Upgrade to 4.2 when it becomes available.
+
| Wait for next release or simply disable the relevant code. Simulators that may return invalid values or duplicate samples should be avoided until then.
 
|-
 
|-
 
|}
 
|}
Line 150: Line 178:
 
|-
 
|-
 
!'''Bug'''
 
!'''Bug'''
−
| The toolbox crashes when you pass samples on the command line
+
| You get the following error: "Failed to create object of type ANNGeneticInterface, error is "Undefined variable "logger" or class "logger.severe"
 
|-
 
|-
 
!'''Status'''  
 
!'''Status'''  
Line 156: Line 184:
 
|-
 
|-
 
!'''Workaround'''  
 
!'''Workaround'''  
−
| On the offending line replace "scale(..)" by "scaleColumns(...)".
+
| Simply remove the offending line or set complex handling to split or modulus (you are trying to model complex data with ANNs).
 
|-
 
|-
 
|}
 
|}
 +
 +
-->

Latest revision as of 14:25, 8 October 2009

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.

To stay up to date with the latest news and releases, we also recommend subscribing to our newsletter here. Traffic will be kept to a minimum and you can unsubscribe at any time.

If you happen to encounter something not listed here, please report it.

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 )"


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