Difference between revisions of "Config:SequentialDesign"

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(New page: == SampleSelectors == === empty === Dont select any new samples, useful when modeling multiple outputs in paralel <source lang="xml"> <SampleSelector id="emp...)
 
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== SampleSelectors ==
+
== SampleSelector ==
  +
 
 
 
=== empty ===
 
=== empty ===
 
Dont select any new samples, useful when modeling multiple outputs in paralel
 
Dont select any new samples, useful when modeling multiple outputs in paralel
 
<source lang="xml">
 
<source lang="xml">
<[[Config:SampleSelector|SampleSelector]] id="empty" type="EmptySampleSelector" combineOutputs="false"/>
+
<[[Config:SampleSelector|SampleSelector]] id="empty" type="EmptySampleSelector" combineOutputs="false"/>
 
</source>
 
</source>
 
 
=== random ===
 
=== random ===
 
Each sampling iterations new samples are selected randomly
 
Each sampling iterations new samples are selected randomly
 
<source lang="xml">
 
<source lang="xml">
<[[Config:SampleSelector|SampleSelector]] id="random" type="RandomSampleSelector" combineOutputs="false"/>
+
<[[Config:SampleSelector|SampleSelector]] id="random" type="RandomSampleSelector" combineOutputs="false"/>
 
</source>
 
</source>
 
 
=== combo ===
 
=== combo ===
 
Allows you combine multiple sample selector algorithms
 
Allows you combine multiple sample selector algorithms
 
<source lang="xml">
 
<source lang="xml">
<[[Config:SampleSelector|SampleSelector]] id="combo" type="CombinedSampleSelector" combineOutputs="false">
+
<[[Config:SampleSelector|SampleSelector]] id="combo" type="CombinedSampleSelector" combineOutputs="false">
<[[Config:SampleSelector|SampleSelector]] type="RationalPoleSuppressionSampleSelector" combineOutputs="false">
+
<[[Config:SampleSelector|SampleSelector]] type="RationalPoleSuppressionSampleSelector" combineOutputs="false"></[[Config:SampleSelector|SampleSelector]]>
</[[Config:SampleSelector|SampleSelector]]>
+
<[[Config:SampleSelector|SampleSelector]] type="DelaunaySampleSelector" combineOutputs="false">
  +
<Option key="sampleSelect" value="all"/>
 
  +
<Option key="nLastModels" value="2"/>
<[[Config:SampleSelector|SampleSelector]] type="DelaunaySampleSelector" combineOutputs="false">
 
<Option key="sampleSelect" value="all"/>
+
<Option key="scoreFunction" value="weightedLinear"/>
<Option key="nLastModels" value="2"/>
+
<Option key="lambda" value="0.5"/>
<Option key="scoreFunction" value="weightedLinear"/>
+
<Option key="mu" value="0.5"/>
<Option key="lambda" value="0.5"/>
+
<Option key="volumeScaling" value="max"/>
<Option key="mu" value="0.5"/>
+
<Option key="differenceScaling" value="capmax"/>
<Option key="volumeScaling" value="max"/>
+
<Option key="snapToEdge" value="enable"/>
<Option key="differenceScaling" value="capmax"/>
+
<Option key="snapThreshold" value=".05"/>
  +
</[[Config:SampleSelector|SampleSelector]]>
<Option key="snapToEdge" value="enable"/>
 
  +
</[[Config:SampleSelector|SampleSelector]]>
<Option key="snapThreshold" value=".05"/>
 
</[[Config:SampleSelector|SampleSelector]]>
 
</[[Config:SampleSelector|SampleSelector]]>
 
 
</source>
 
</source>
 
 
=== delaunay ===
 
=== delaunay ===
 
An adaptive sample selection algorithm that does a trade-off between error and density
 
An adaptive sample selection algorithm that does a trade-off between error and density
 
<source lang="xml">
 
<source lang="xml">
<[[Config:SampleSelector|SampleSelector]] id="delaunay" type="DelaunaySampleSelector" combineOutputs="false">
+
<[[Config:SampleSelector|SampleSelector]] id="delaunay" type="DelaunaySampleSelector" combineOutputs="false">
<Option key="sampleSelect" value="all"/>
+
<Option key="sampleSelect" value="all"/>
<Option key="nLastModels" value="2"/>
+
<Option key="nLastModels" value="2"/>
<Option key="scoreFunction" value="weightedLinear"/>
+
<Option key="scoreFunction" value="weightedLinear"/>
<Option key="lambda" value="0.5"/>
+
<Option key="lambda" value="0.5"/>
<Option key="mu" value="0.5"/>
+
<Option key="mu" value="0.5"/>
<Option key="volumeScaling" value="max"/>
+
<Option key="volumeScaling" value="max"/>
<Option key="differenceScaling" value="capmax"/>
+
<Option key="differenceScaling" value="capmax"/>
<Option key="snapToEdge" value="enable"/>
+
<Option key="snapToEdge" value="enable"/>
<Option key="snapThreshold" value=".2"/>
+
<Option key="snapThreshold" value=".2"/>
</[[Config:SampleSelector|SampleSelector]]>
+
</[[Config:SampleSelector|SampleSelector]]>
 
</source>
 
</source>
 
 
=== density ===
 
=== density ===
 
A simple density based sample selection algorithm
 
A simple density based sample selection algorithm
 
<source lang="xml">
 
<source lang="xml">
<[[Config:SampleSelector|SampleSelector]] id="density" type="DensitySampleSelector" combineOutputs="false"/>
+
<[[Config:SampleSelector|SampleSelector]] id="density" type="DensitySampleSelector" combineOutputs="false"/>
 
</source>
 
</source>
 
 
=== error ===
 
=== error ===
 
An adaptive sample selection algorithm (error based), driven by the evaluation of your model on a dense grid
 
An adaptive sample selection algorithm (error based), driven by the evaluation of your model on a dense grid
 
<source lang="xml">
 
<source lang="xml">
<[[Config:SampleSelector|SampleSelector]] id="error" type="ErrorSampleSelector" combineOutputs="false">
+
<[[Config:SampleSelector|SampleSelector]] id="error" type="ErrorSampleSelector" combineOutputs="false">
<Option key="nLastModels" value="4"/>
+
<Option key="nLastModels" value="4"/>
<Option key="differenceScaling" value="none"/>
+
<Option key="differenceScaling" value="none"/>
<Option key="gridSize" value="50"/>
+
<Option key="gridSize" value="50"/>
<Option key="maxGridSize" value="100000"/>
+
<Option key="maxGridSize" value="100000"/>
<Option key="closenessThreshold" value="0.2"/>
+
<Option key="closenessThreshold" value="0.2"/>
<Option key="randomPercentage" value="20"/>
+
<Option key="randomPercentage" value="20"/>
</[[Config:SampleSelector|SampleSelector]]>
+
</[[Config:SampleSelector|SampleSelector]]>
 
</source>
 
</source>
 
 
=== gradient ===
 
=== gradient ===
 
A highly adaptive sampling algorithm, error and density based
 
A highly adaptive sampling algorithm, error and density based
 
<source lang="xml">
 
<source lang="xml">
<[[Config:SampleSelector|SampleSelector]] id="gradient" type="GradientSampleSelector" combineOutputs="false">
+
<[[Config:SampleSelector|SampleSelector]] id="gradient" type="GradientSampleSelector" combineOutputs="false">
<Option key="neighbourhoodSize" value="2"/>
+
<Option key="neighbourhoodSize" value="2"/>
</[[Config:SampleSelector|SampleSelector]]>
+
</[[Config:SampleSelector|SampleSelector]]>
 
</source>
 
</source>
 
 
=== isc ===
 
=== isc ===
 
A sampling algorithm aimed at optimization problems
 
A sampling algorithm aimed at optimization problems
 
<source lang="xml">
 
<source lang="xml">
<[[Config:SampleSelector|SampleSelector]] id="isc" type="InfillSamplingCriterion" combineOutputs="false">
+
<[[Config:SampleSelector|SampleSelector]] id="isc" type="InfillSamplingCriterion" combineOutputs="false">
<Option key="criterion" value="gei"/>
+
<Option key="criterion" value="gei"/>
<Option key="g" value="1"/>
+
<Option key="g" value="1"/>
<[[Config:Optimizer|Optimizer]] type="DirectOptimizer">
+
<[[Config:Optimizer|Optimizer]] type="DirectOptimizer">
<Option key="maxevals" value="1000"/>
+
<Option key="maxevals" value="1000"/>
<Option key="maxits" value="300"/>
+
<Option key="maxits" value="300"/>
</[[Config:Optimizer|Optimizer]]>
+
</[[Config:Optimizer|Optimizer]]>
<Option key="debug" value="off"/>
+
<Option key="debug" value="off"/>
</[[Config:SampleSelector|SampleSelector]]>
+
</[[Config:SampleSelector|SampleSelector]]>
 
</source>
 
</source>

Revision as of 11:55, 7 February 2008

SampleSelector

empty

Dont select any new samples, useful when modeling multiple outputs in paralel

<SampleSelector id="empty" type="EmptySampleSelector" combineOutputs="false"/>

random

Each sampling iterations new samples are selected randomly

<SampleSelector id="random" type="RandomSampleSelector" combineOutputs="false"/>

combo

Allows you combine multiple sample selector algorithms

<SampleSelector id="combo" type="CombinedSampleSelector" combineOutputs="false">
   <SampleSelector type="RationalPoleSuppressionSampleSelector" combineOutputs="false"></SampleSelector>
   <SampleSelector type="DelaunaySampleSelector" combineOutputs="false">
      <Option key="sampleSelect" value="all"/>
      <Option key="nLastModels" value="2"/>
      <Option key="scoreFunction" value="weightedLinear"/>
      <Option key="lambda" value="0.5"/>
      <Option key="mu" value="0.5"/>
      <Option key="volumeScaling" value="max"/>
      <Option key="differenceScaling" value="capmax"/>
      <Option key="snapToEdge" value="enable"/>
      <Option key="snapThreshold" value=".05"/>
   </SampleSelector>
</SampleSelector>

delaunay

An adaptive sample selection algorithm that does a trade-off between error and density

<SampleSelector id="delaunay" type="DelaunaySampleSelector" combineOutputs="false">
   <Option key="sampleSelect" value="all"/>
   <Option key="nLastModels" value="2"/>
   <Option key="scoreFunction" value="weightedLinear"/>
   <Option key="lambda" value="0.5"/>
   <Option key="mu" value="0.5"/>
   <Option key="volumeScaling" value="max"/>
   <Option key="differenceScaling" value="capmax"/>
   <Option key="snapToEdge" value="enable"/>
   <Option key="snapThreshold" value=".2"/>
</SampleSelector>

density

A simple density based sample selection algorithm

<SampleSelector id="density" type="DensitySampleSelector" combineOutputs="false"/>

error

An adaptive sample selection algorithm (error based), driven by the evaluation of your model on a dense grid

<SampleSelector id="error" type="ErrorSampleSelector" combineOutputs="false">
   <Option key="nLastModels" value="4"/>
   <Option key="differenceScaling" value="none"/>
   <Option key="gridSize" value="50"/>
   <Option key="maxGridSize" value="100000"/>
   <Option key="closenessThreshold" value="0.2"/>
   <Option key="randomPercentage" value="20"/>
</SampleSelector>

gradient

A highly adaptive sampling algorithm, error and density based

<SampleSelector id="gradient" type="GradientSampleSelector" combineOutputs="false">
   <Option key="neighbourhoodSize" value="2"/>
</SampleSelector>

isc

A sampling algorithm aimed at optimization problems

<SampleSelector id="isc" type="InfillSamplingCriterion" combineOutputs="false">
   <Option key="criterion" value="gei"/>
   <Option key="g" value="1"/>
   <Optimizer type="DirectOptimizer">
      <Option key="maxevals" value="1000"/>
      <Option key="maxits" value="300"/>
   </Optimizer>
   <Option key="debug" value="off"/>
</SampleSelector>