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 6.0

Bug	You get an error like "No appropriate method or public field isProjectMode for class ibbt.sumo.config.ContextConfig"
Status	Fixed in SVN
Workaround	Open src/matlab/SUMODriver.m, go to the offending line (line 210) and simply remove the if check. So remove "if(config.context.isProjectMode())" and the corresponding "end" on line 212 but do NOT remove the middle line (211). Re-run the toolbox and it should work.

Bug	The Kriging models do not work with combineOutputs=true in some cases
Status	Fixed in SVN
Workaround	This is a bug in the DACE Toolbox itself, a workaround is available on request.

Bug	The automatic model type selection algorithm (heterogeneous evolution) does not work with Matlab 2008a and later
Status	Fixed in SVN
Workaround	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.

Bug	Consecutive runs on the same dataset are not independent (can cause dataset depleted exceptions)
Status	Fixed in SVN.
Workaround	Wait for next release.

Bug	Duplicate samples and samples with NaN/Inf values are not filtered properly (for example you get Matrix dimension mismatch errors).
Status	Fixed in SVN.
Workaround	Wait for next release or simply disable the relevant code. Simulators that may return invalid values or duplicate samples should be avoided until then.

Bug	You get the following error: "Failed to create object of type ANNGeneticInterface, error is "Undefined variable "logger" or class "logger.severe"
Status	Fixed in SVN.
Workaround	Simply remove the offending line or set complex handling to split or modulus (you are trying to model complex data with ANNs).