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java.lang.Objectadams.core.ConsoleObject
adams.core.option.AbstractOptionHandler
adams.flow.core.AbstractActor
adams.flow.source.AbstractSource
adams.flow.source.AbstractWekaSetupGenerator<weka.clusterers.Clusterer>
adams.flow.source.WekaClustererGenerator
public class WekaClustererGenerator
Generates multiple clusterer setups.
Input/output:-D <int> (property: debugLevel) The greater the number the more additional info the scheme may output to the console (0 = off). default: 0 minimum: 0
-name <java.lang.String> (property: name) The name of the actor. default: ClustererGenerator
-annotation <adams.core.base.BaseText> (property: annotations) The annotations to attach to this actor. default:
-skip (property: skip) If set to true, transformation is skipped and the input token is just forwarded as it is.
-setup <java.lang.Object [options]> (property: setup) The base clusterer to use for the setups. default: weka.clusterers.SimpleKMeans -N 2 -A \"weka.core.EuclideanDistance -R first-last\" -I 500 -S 10
-parameter <weka.core.setupgenerator.AbstractParameter [options]> [-parameter ...] (property: parameters) The parameters to use for generating the setups. default: weka.core.setupgenerator.MathParameter -property numClusters -min 2.0 -max 5.0 -step 1.0 -base 10.0 -expression I
-array (property: outputArray) If set to true, then an array of setups will be output instead of a sequence.
| Field Summary |
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| Fields inherited from class adams.flow.source.AbstractWekaSetupGenerator |
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m_Generator, m_OutputArray, m_Setups |
| Fields inherited from class adams.flow.core.AbstractActor |
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FILE_EXTENSION, FILE_EXTENSION_GZ, m_Annotations, m_BackupState, m_DetectedObjectVariables, m_DetectedVariables, m_ErrorHandler, m_Executed, m_FullName, m_Headless, m_Name, m_Parent, m_Root, m_Self, m_Skip, m_StopFlowOnError, m_StopMessage, m_Stopped, m_StorageHandler, m_VariablesUpdated |
| Fields inherited from class adams.core.option.AbstractOptionHandler |
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m_DebugLevel, m_OptionManager |
| Constructor Summary | |
|---|---|
WekaClustererGenerator()
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| Method Summary | |
|---|---|
protected AbstractParameter[] |
getDefaultParameters()
Returns the default parameters. |
protected weka.clusterers.Clusterer |
getDefaultSetup()
Returns the default setup. |
protected Class |
getDefaultSuperClass()
Returns the default super class, the same as the type "T" when defining the generics. |
weka.clusterers.Clusterer |
getSetup()
Returns the base clusterer. |
String |
globalInfo()
Returns a string describing the object. |
void |
setSetup(weka.clusterers.Clusterer value)
Sets the base clusterer. |
String |
setupTipText()
Returns the tip text for this property. |
| Methods inherited from class adams.flow.source.AbstractWekaSetupGenerator |
|---|
defineOptions, doExecute, generates, getDefaultPackage, getOutputArray, getParameters, getQuickInfo, hasPendingOutput, initialize, output, outputArrayTipText, parametersTipText, setOutputArray, setParameters, wrapUp |
| Methods inherited from class adams.core.option.AbstractOptionHandler |
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cleanUpOptions, debug, debugLevelTipText, finishInit, getDebugLevel, getOptionManager, isDebugOn, newOptionManager, setDebugLevel, toCommandLine, toString |
| Methods inherited from class adams.core.ConsoleObject |
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getDebugging, getSystemErr, getSystemOut |
| Methods inherited from class java.lang.Object |
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clone, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
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public WekaClustererGenerator()
| Method Detail |
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public String globalInfo()
globalInfo in class AbstractOptionHandlerprotected weka.clusterers.Clusterer getDefaultSetup()
getDefaultSetup in class AbstractWekaSetupGenerator<weka.clusterers.Clusterer>AbstractWekaSetupGenerator.defineOptions()protected AbstractParameter[] getDefaultParameters()
getDefaultParameters in class AbstractWekaSetupGenerator<weka.clusterers.Clusterer>AbstractWekaSetupGenerator.defineOptions()protected Class getDefaultSuperClass()
getDefaultSuperClass in class AbstractWekaSetupGenerator<weka.clusterers.Clusterer>public void setSetup(weka.clusterers.Clusterer value)
value - the clustererpublic weka.clusterers.Clusterer getSetup()
public String setupTipText()
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