Difference between revisions of "Tips"

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* If you want to benchmark your computer for Matlab speed simply run "bench" in Matlab
 
* If you want to benchmark your computer for Matlab speed simply run "bench" in Matlab
   
* You can switch off adaptive sample selection if you do not specify a [[SampleSelector| <SampleSelector>]] tag. See [[Adaptive Modeling Mode]].
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* You can switch off adaptive sample selection if you do not specify a [[SequentialDesign| <SequentialDesign>]] tag. See [[Adaptive Modeling Mode]].
   
 
* Remember that the Measure (and error function you use) strongly influence the quality and fit of the surrogate model. If you are unhappy with the final model, try a different [[Measures| Measure]] and/or [[FAQ#How_do_I_change_the_error_function_.28relative_error.2C_RMS.2C_....29.3F| error function]]. See also [[Multi-Objective Modeling]].
 
* Remember that the Measure (and error function you use) strongly influence the quality and fit of the surrogate model. If you are unhappy with the final model, try a different [[Measures| Measure]] and/or [[FAQ#How_do_I_change_the_error_function_.28relative_error.2C_RMS.2C_....29.3F| error function]]. See also [[Multi-Objective Modeling]].

Revision as of 11:16, 13 March 2014

  • If you want to benchmark your computer for Matlab speed simply run "bench" in Matlab
  • Remember that the Measure (and error function you use) strongly influence the quality and fit of the surrogate model. If you are unhappy with the final model, try a different Measure and/or error function. See also Multi-Objective Modeling.
  • By default Matlab warnings are turned off. To turn them on, either edit configure.m or type 'warning on' before running 'go'