Config:SequentialDesign
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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]]>