Difference between revisions of "Known bugs"

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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.
 
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.
  
−
Remember to also check the bugs on the [http://gforge.coms.ua.ac.be/projects/m3toolbox project website].  To stay up to date with the latest news and releases, we also recommend subscribing to our mailinglist [http://gforge.coms.ua.ac.be/mail/?group_id=8 here].  Traffic will be kept to a minimum and you can unsubscribe at any time.  (Note: due to technical reasons you will not be able to post on the mailing list)
+
To stay up to date with the latest news and releases, we also recommend subscribing to our newsletter [http://www.sumo.intec.ugent.be 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 [[reporting problems|report it]].
 
If you happen to encounter something not listed here, please [[reporting problems|report it]].
  
−
== Version 4.0 ==
+
== Version 6.2 ==
 +
 
 +
 
 +
{| border="0" style="text-align:left"
 +
|-
 +
!'''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: <source lang="matlab">dtot(:,k) = (sum(d,1) ./ numTp) + dtot(:,k);</source>
 +
|-
 +
|}
 +
 
 +
 
 +
== Version 6.1.1 ==
 +
 
 +
 
 +
{| border="0" style="text-align:left"
 +
|-
 +
!'''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 ==
 +
 
 +
{| border="0" style="text-align:left"
 +
|-
 +
!'''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 <source lang="bash">'model.implementation=''CFILE''</source> with the text <source lang="bash">'model.implementation=''MATLAB''</source>
 +
|-
 +
|}
 +
 
 +
 
 +
 
 +
{| border="0" style="text-align:left"
 +
|-
 +
!'''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"''.
 +
|-
 +
|}
 +
 
 +
 
 +
{| border="0" style="text-align:left"
 +
|-
 +
!'''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 )"
 +
|-
 +
|}
 +
 
 +
 
 +
<!--
 +
 
 +
== Version 6.0.1 ==
 +
 
 +
{| border="0" style="text-align:left"
 +
|-
 +
!'''Bug'''
 +
| 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'''
 +
| Fixed in next version
 +
|-
 +
!'''Workaround'''
 +
| Please wait for release
 +
|-
 +
|}
 +
 
 +
== Version 6.0 ==
 +
 
 
{| border="0" style="text-align:left"
 
{| border="0" style="text-align:left"
 
|-
 
|-
 
!'''Bug'''
 
!'''Bug'''
−
| The toolbox goes into a seemingly infinite loop if u are using the Matlab sample evaluator and there is an error in your matlab function.
+
| You get an error like "No appropriate method or public field isProjectMode for class ibbt.sumo.config.ContextConfig"
 
|-
 
|-
 
!'''Status'''  
 
!'''Status'''  
−
| wont fixd
+
| Fixed in 6.0.1
 
|-
 
|-
 
!'''Workaround'''  
 
!'''Workaround'''  
−
| This is due to the poor Java -> Matlab interface and thus there is little we can do about it. It is best to make sure your function runs without error by running it manually.
+
| Please upgrade to 6.0.1
 
|-
 
|-
 
|}
 
|}
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|-
 
|-
 
!'''Bug'''
 
!'''Bug'''
−
| In some rare cases the toolbox goes into an infinite loop when using the grid sample selector.
+
| The Kriging models do not work with combineOutputs=true in some cases
 
|-
 
|-
 
!'''Status'''  
 
!'''Status'''  
−
| Fixed in SVN.
+
| Fixed in SVN
 
|-
 
|-
 
!'''Workaround'''  
 
!'''Workaround'''  
−
| This happens in some rare cases, and is due to the way the grid SE works. This will be fixed in the next release.  In the meantime, if you run into the problem use a different sample selector or combine the grid SE with a different SE (e.g., the random SE) using the CombinedSampleSelector.
+
| Please upgrade to 6.0.1
 
|-
 
|-
 
|}
 
|}
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|-
 
|-
 
!'''Bug'''
 
!'''Bug'''
−
| If the first component inside the <Plan> tag is a component that is overridden in the <Run> tag, a NullPointerException occurs
+
| The automatic model type selection algorithm (heterogeneous evolution) does not work with Matlab 2008a and later
 
|-
 
|-
 
!'''Status'''  
 
!'''Status'''  
−
| Fixed in SVN.
+
| Fixed in SVN
 
|-
 
|-
 
!'''Workaround'''  
 
!'''Workaround'''  
−
| This is a very obscure bug, simply make sure that the first component in your <Plan> tag is one that is NOT overridden in a <Run> tag. Use for example <ContextConfig>.
+
| 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"
 
{| border="0" style="text-align:left"
 
|-
 
|-
 
!'''Bug'''
 
!'''Bug'''
−
| When modeling the same output multiple times in parallel, some profilers may interfere with each other
+
| Consecutive runs on the same dataset are not independent (can cause dataset depleted exceptions)
 
|-
 
|-
 
!'''Status'''  
 
!'''Status'''  
Line 57: Line 156:
 
|-
 
|-
 
!'''Workaround'''  
 
!'''Workaround'''  
−
| Avoid modeling the same output multiple times in the same run.  Try using different runs or turning off the profilers that give problems.
+
| Wait for next release.
 
|-
 
|-
 
|}
 
|}
  
−
== Version 3.3 ==
+
 
 
{| border="0" style="text-align:left"
 
{| border="0" style="text-align:left"
 
|-
 
|-
 
!'''Bug'''
 
!'''Bug'''
−
| Loading a saved model file from disk gives warnings and in some cases even errors (see the [[FAQ]])
+
| Duplicate samples and samples with NaN/Inf values are not filtered properly (for example you get Matrix dimension mismatch errors).
 
|-
 
|-
 
!'''Status'''  
 
!'''Status'''  
−
| fixed in the latest snapshots
+
| Fixed in SVN.
 
|-
 
|-
 
!'''Workaround'''  
 
!'''Workaround'''  
−
| if you are lucky you can just ignore the warnings and it should work, in some cases it wont and you will need to upgrade
+
| Wait for next release or simply disable the relevant code. Simulators that may return invalid values or duplicate samples should be avoided until then.
 
|-
 
|-
 
|}
 
|}
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|-
 
|-
 
!'''Bug'''
 
!'''Bug'''
−
| Movie generation gives problems on windows
+
| You get the following error: "Failed to create object of type ANNGeneticInterface, error is "Undefined variable "logger" or class "logger.severe"
 
|-
 
|-
 
!'''Status'''  
 
!'''Status'''  
−
| Fixed
+
| Fixed in SVN.
 
|-
 
|-
 
!'''Workaround'''  
 
!'''Workaround'''  
−
| Use a different operating system (Linux, OSX, ...) or upgrade and edit ''src/matlab/modelbuilders/@AdaptiveModelBuilder/createMovie.m'' file so it creates an avi instead of a mov file (Warning: the avi file is not compressed and may be very big!)
+
| 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 13:25, 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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