Adding an example

If you want to create a metamodel for your own problem you will first have to write a simulator xml file. To do this simply open one of the existing simulator xml files (in the examples directory) and create a copy of it in the same directory but under a new name. You can then edit this file to suit your particular problem. This file should be pretty straightforward to write.

Your simulator XML file may specify different implementations:

• an executable or script (<Executable> tag)
• a Java class (<Executable> tag, platform = java)
• a matlab script (<Executable> tag, platform = matlab)
• a dataset
  • scattered data (<ScatteredDataFile> tag)
  • gridded data, data lies on a regular grid (<GriddedDataFile>)

See the Simulator configuration page for a full list of the possibilities. Note that all _input_ data (not output values) to the toolbox is required to be scaled to [-1 1]! So make sure you have scaled your datasets or wrapped your executable. In case of doubt about which dataset to use, use scattered. Datasets should be placed in examples/data/txt.

For an explanation of the data format and how the toolbox interfaces with the simulator, see the Data format page.

Having written your simulator XML file and provided the datasets/executables you now just need to change default.xml so it uses your file (<Simulator> tag). Finally you just run 'go'.

Note that, depending on wether your simulator is a script, native executable, dataset or matlab script you will need to set different configuration options. For example, if your data comes from a dataset you will have to set the sample evaluator to scattered or gridded, depending if you datapoints are scattered or on a regular grid. If on the other hand your data comes from a native executable you would want to use the local sample evaluator with the type set to "external" (you can also set the type to "java" if your executable is a java class). For matlab scripts the sample evaluator to use is matlab.

See the Simulator configuration page for explanations of the available options.