Outputs

If no Outputs tag is defined, all outputs are modelled and evaluated with the default CrossValidation measure. To change this default behaviour, one must specify an Outputs tag in the Run configuration. Examples of valid Output configurations can be found commented in default.xml.

Here is an example of an output configuration for the Academic2DTwice test function:

<Outputs>
	<Output name="out">
		<SampleSelector>gradient</SampleSelector>
		<AdaptiveModelBuilder>poly</AdaptiveModelBuilder>
		<Measure type="CrossValidation" target=".0001" use="on" />
	</Output>
	
	<Output name="outinverse">
		<SampleSelector>grid</SampleSelector>
		<AdaptiveModelBuilder>kriging</AdaptiveModelBuilder>
		<Measure type="TestSamples" target=".05" use="on" />
	</Output>
</Outputs>