Difference between revisions of "InitialDesign"

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m (Initial Designs moved to Config:InitialDesign: <InitialDesign> tag links to this now)
 
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|default    = 30
 
|default    = 30
 
|description = The amount of samples that will be taken.
 
|description = The amount of samples that will be taken.
}}
 
 
== Central Composite Design ==
 
 
{{OptionsHeader}}
 
{{Option
 
|name        = type
 
|values      = [inscribed,factoral]
 
|default    = factoral
 
|description = Where are the '''''star points''''' placed? See http://www.itl.nist.gov/div898/handbook/pri/section3/pri3361.htm
 
 
}}
 
}}
  
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}}
 
}}
  
== Screening Designs ==
 
 
Create a design from information retrieved by parameter screening.
 
 
{{NodesHeader}}
 
{{Node
 
|name        = InitialDesign
 
|required    = yes
 
|description = Configuration for the requested InitialDesign Method.
 
}}
 
{{Node
 
|name        = ScreeningMethod
 
|required    = yes
 
|description = Configuration for the requested Screening Method.  See below for further instructions.
 
}}
 
 
=== ScreeningMethod: OneD Screening ===
 
Build one-dimensional metamodels (minimetamodel) for each factor.  Then choose the initial design based upon a factor importance metric.
 
{{OptionsHeader}}
 
{{Option
 
|name        = importanceMetric
 
|values      = [samples,sensitivity,minmax]
 
|default    = samples
 
|description = What defines the importance of a factor?  '''(1) samples:''' amount of samples required to reach a certain accuray.  '''(2) sensitivity:''' order of the metamodel, only works with polynomial models.  '''(3) minmax:''' greatest difference in the metamodel
 
}}
 
{{Option
 
|name        = configFile
 
|values      = path
 
|default    = '/config/defaultMini.xml'
 
|description = Path of the file that contains the configuration to create each minimetalmodel.  Best to leave this default. 
 
}}
 
  
 
== Factorial Design ==
 
== Factorial Design ==

Revision as of 13:46, 9 July 2008

Latin Hypercube Design

Choose an initial sampleset in such a way that they form a latin hypercube. 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.

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