Difference between revisions of "InitialDesign"
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== Latin Hypercube Design == | == Latin Hypercube Design == | ||
| − | Choose an initial sampleset in such a way that they form a latin hypercube. | + | Choose an initial sampleset in such a way that they form a latin hypercube. This initial design will first try to download a pre-optimized maximin Latin hypercube from the website [http://www.spacefillingdesigns.nl]. If such a design is not available, or no proper connection to the website can be made, the Latin hypercube is generated by the toolbox. Note that this Latin hypercube may be suboptimal, and may leave considerable gaps in the design space. |
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| − | == | + | == Dataset Design == |
| + | Reads an initial design from a dataset. Each row should contain one sample. The inputvalues come first. The outputvalues, if there are any, come second. | ||
| − | + | If only input values are supplied (hasOutputs=false), each value has to be in the fixed [-1,1] range (model space). The samples are later automatically transformed to their original range before they are passed to the sample evaluator. This is done to easily support different ranges for variables without having to change the initial dataset design. | |
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| − | = | + | If, however, output values are also provided (hasOutputs=true), the samples are instantly fed to the toolbox for modelling, since they don't have to be evaluated anymore. Because of this property, the inputs have to be in the original range defined in the simulator xml file, instead of the fixed [-1,1] range. |
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== Factorial Design == | == Factorial Design == | ||
Latest revision as of 15:41, 2 October 2009
Latin Hypercube Design
Choose an initial sampleset in such a way that they form a latin hypercube. This initial design will first try to download a pre-optimized maximin Latin hypercube from the website [1]. If such a design is not available, or no proper connection to the website can be made, the Latin hypercube is generated by the toolbox. Note that this Latin hypercube may be suboptimal, and may leave considerable gaps in the design space. Template:OptionsHeader Template:Option
Dataset Design
Reads an initial design from a dataset. Each row should contain one sample. The inputvalues come first. The outputvalues, if there are any, come second.
If only input values are supplied (hasOutputs=false), each value has to be in the fixed [-1,1] range (model space). The samples are later automatically transformed to their original range before they are passed to the sample evaluator. This is done to easily support different ranges for variables without having to change the initial dataset design.
If, however, output values are also provided (hasOutputs=true), the samples are instantly fed to the toolbox for modelling, since they don't have to be evaluated anymore. Because of this property, the inputs have to be in the original range defined in the simulator xml file, instead of the fixed [-1,1] range.
Template:OptionsHeader Template:Option Template:Option
Combined Design
Combines two other initial designs.
Template:NodesHeader Template:Node
Factorial Design
Choose an initial sampleset in such a way that they form an uniform grid Template:OptionsHeader Template:Option
