Difference between revisions of "Config:SequentialDesign"
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Jump to navigationJump to search (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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− | == | + | == SampleSelector == |
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=== 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"/> | |
</source> | </source> | ||
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=== 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"/> | |
</source> | </source> | ||
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=== 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]] type="RationalPoleSuppressionSampleSelector" combineOutputs="false"></[[Config:SampleSelector|SampleSelector]]> | |
− | + | <[[Config: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"/> | |
− | + | </[[Config:SampleSelector|SampleSelector]]> | |
− | + | </[[Config:SampleSelector|SampleSelector]]> | |
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− | |||
</source> | </source> | ||
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=== 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"> | |
− | + | <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"/> | |
− | + | </[[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"/> | |
</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"> | |
− | + | <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"/> | |
− | + | </[[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"> | |
− | + | <Option key="neighbourhoodSize" value="2"/> | |
− | + | </[[Config:SampleSelector|SampleSelector]]> | |
</source> | </source> | ||
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=== 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"> | |
− | + | <Option key="criterion" value="gei"/> | |
− | + | <Option key="g" value="1"/> | |
− | + | <[[Config:Optimizer|Optimizer]] type="DirectOptimizer"> | |
− | + | <Option key="maxevals" value="1000"/> | |
− | + | <Option key="maxits" value="300"/> | |
− | + | </[[Config:Optimizer|Optimizer]]> | |
− | + | <Option key="debug" value="off"/> | |
− | + | </[[Config:SampleSelector|SampleSelector]]> | |
</source> | </source> |
Revision as of 10:55, 7 February 2008
SampleSelector
empty
Dont select any new samples, useful when modeling multiple outputs in paralel
<[[Config:SampleSelector|SampleSelector]] id="empty" type="EmptySampleSelector" combineOutputs="false"/>
random
Each sampling iterations new samples are selected randomly
<[[Config:SampleSelector|SampleSelector]] id="random" type="RandomSampleSelector" combineOutputs="false"/>
combo
Allows you combine multiple sample selector algorithms
<[[Config:SampleSelector|SampleSelector]] id="combo" type="CombinedSampleSelector" combineOutputs="false">
<[[Config:SampleSelector|SampleSelector]] type="RationalPoleSuppressionSampleSelector" combineOutputs="false"></[[Config:SampleSelector|SampleSelector]]>
<[[Config: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"/>
</[[Config:SampleSelector|SampleSelector]]>
</[[Config:SampleSelector|SampleSelector]]>
delaunay
An adaptive sample selection algorithm that does a trade-off between error and density
<[[Config:SampleSelector|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"/>
</[[Config:SampleSelector|SampleSelector]]>
density
A simple density based sample selection algorithm
<[[Config:SampleSelector|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
<[[Config:SampleSelector|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"/>
</[[Config:SampleSelector|SampleSelector]]>
gradient
A highly adaptive sampling algorithm, error and density based
<[[Config:SampleSelector|SampleSelector]] id="gradient" type="GradientSampleSelector" combineOutputs="false">
<Option key="neighbourhoodSize" value="2"/>
</[[Config:SampleSelector|SampleSelector]]>
isc
A sampling algorithm aimed at optimization problems
<[[Config:SampleSelector|SampleSelector]] id="isc" type="InfillSamplingCriterion" combineOutputs="false">
<Option key="criterion" value="gei"/>
<Option key="g" value="1"/>
<[[Config:Optimizer|Optimizer]] type="DirectOptimizer">
<Option key="maxevals" value="1000"/>
<Option key="maxits" value="300"/>
</[[Config:Optimizer|Optimizer]]>
<Option key="debug" value="off"/>
</[[Config:SampleSelector|SampleSelector]]>