Difference between revisions of "Adding an example"

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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 (see the examples directory) and create a copy suited to your problem. Note that all input data to the toolbox is required to be scaled to [-1 1]! Then you edit default.xml so it will model your simulator and run 'go'.
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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 (see the examples directory) and create a copy suited to your problem. This file should be pretty straightforward to write. Once written, place it in the examples directory.
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Your simulator XML file may specify different implementations:
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* an executable or script (<Executable> tag)
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* a Java class (<Executable> tag, platform = java)
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* a matlab script (<Executable> tag, platform = matlab)
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* a dataset
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** scattered data (<ScatteredDataFile> tag)
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** gridded data, data lies on a regular grid (<GriddedDataFile>)
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See the [[Simulator configuration]] page for a full list of the possibilities.
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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 see the [[Data format]] page.
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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.
 
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 about the options.
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See the [[Simulator configuration]] page for explanations of the available options.

Revision as of 12:59, 10 May 2007

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 (see the examples directory) and create a copy suited to your problem. This file should be pretty straightforward to write. Once written, place it in the examples directory.

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 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.