Package adams.flow.transformer
Class WekaClassifierOptimizer
- java.lang.Object
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- adams.core.logging.LoggingObject
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- adams.core.logging.CustomLoggingLevelObject
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- adams.core.option.AbstractOptionHandler
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- adams.flow.core.AbstractActor
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- adams.flow.transformer.AbstractTransformer
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- adams.flow.transformer.WekaClassifierOptimizer
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- All Implemented Interfaces:
adams.core.AdditionalInformationHandler
,adams.core.CleanUpHandler
,adams.core.Destroyable
,adams.core.GlobalInfoSupporter
,adams.core.logging.LoggingLevelHandler
,adams.core.logging.LoggingSupporter
,adams.core.option.OptionHandler
,adams.core.QuickInfoSupporter
,adams.core.ShallowCopySupporter<adams.flow.core.Actor>
,adams.core.SizeOfHandler
,adams.core.Stoppable
,adams.core.StoppableWithFeedback
,adams.core.VariablesInspectionHandler
,adams.event.VariableChangeListener
,adams.flow.core.Actor
,adams.flow.core.ErrorHandler
,adams.flow.core.InputConsumer
,adams.flow.core.OutputProducer
,Serializable
,Comparable
public class WekaClassifierOptimizer extends adams.flow.transformer.AbstractTransformer
Evaluates a classifier optimizer on an incoming dataset. The best setup (untrained) found is then forwarded.
At the moment, only GridSearch and MultiSearch are supported as optimizers.
Input/output:
- accepts:
weka.core.Instances
- generates:
weka.classifiers.Classifier
Valid options are:
-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: ClassifierOptimizer
-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.
-optimizer <weka.classifiers.Classifier [options]> (property: optimizer) The classifier optimizer to use, eg, GridSearch or MultiSearch. default: weka.classifiers.meta.GridSearch -E CC -y-property classifier.ridge -y-min -10.0 -y-max 5.0 -y-step 1.0 -y-base 10.0 -y-expression pow(BASE,I) -filter \"weka.filters.supervised.attribute.PLSFilter -C 20 -M -A PLS1 -P center\" -x-property filter.numComponents -x-min 5.0 -x-max 20.0 -x-step 1.0 -x-base 10.0 -x-expression I -sample-size 100.0 -traversal COLUMN-WISE -log-file /home/fracpete/development/projects/adams -num-slots 1 -S 1 -W weka.classifiers.functions.LinearRegression -- -S 1 -C -R 1.0E-8
- Version:
- $Revision$
- Author:
- fracpete (fracpete at waikato dot ac dot nz)
- See Also:
- Serialized Form
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Field Summary
Fields Modifier and Type Field Description protected weka.classifiers.Classifier
m_Optimizer
the classifier optimizer.-
Fields inherited from class adams.flow.transformer.AbstractTransformer
BACKUP_INPUT, BACKUP_OUTPUT, m_InputToken, m_OutputToken
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Fields inherited from class adams.flow.core.AbstractActor
m_Annotations, m_BackupState, m_DetectedObjectVariables, m_DetectedVariables, m_ErrorHandler, m_Executed, m_Executing, m_ExecutionListeningSupporter, m_FullName, m_LoggingPrefix, m_Name, m_Parent, m_ScopeHandler, m_Self, m_Silent, m_Skip, m_StopFlowOnError, m_StopMessage, m_Stopped, m_StorageHandler, m_VariablesUpdated
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Constructor Summary
Constructors Constructor Description WekaClassifierOptimizer()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description Class[]
accepts()
Returns the class that the consumer accepts.String
classifierTipText()
Returns the tip text for this property.void
defineOptions()
Adds options to the internal list of options.protected String
doExecute()
Executes the flow item.Class[]
generates()
Returns the class of objects that it generates.weka.classifiers.Classifier
getOptimizer()
Returns the optimizer in use.String
globalInfo()
Returns a string describing the object.String
optimizerTipText()
Returns the tip text for this property.void
setOptimizer(weka.classifiers.Classifier value)
Sets the optimizer to use.-
Methods inherited from class adams.flow.transformer.AbstractTransformer
backupState, currentInput, execute, hasInput, hasPendingOutput, input, output, postExecute, restoreState, wrapUp
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Methods inherited from class adams.flow.core.AbstractActor
annotationsTipText, canInspectOptions, canPerformSetUpCheck, cleanUp, compareTo, configureLogger, destroy, equals, finalUpdateVariables, findVariables, findVariables, forceVariables, forCommandLine, forName, forName, getAdditionalInformation, getAnnotations, getDefaultName, getDetectedVariables, getErrorHandler, getFlowActors, getFlowExecutionListeningSupporter, getFullName, getName, getNextSibling, getParent, getParentComponent, getPreviousSibling, getQuickInfo, getRoot, getScopeHandler, getSilent, getSkip, getStopFlowOnError, getStopMessage, getStorageHandler, getVariables, handleError, handleException, hasErrorHandler, hasStopMessage, index, initialize, isBackedUp, isExecuted, isExecuting, isFinished, isHeadless, isStopped, nameTipText, performSetUpChecks, performVariableChecks, preExecute, pruneBackup, pruneBackup, reset, setAnnotations, setErrorHandler, setName, setParent, setSilent, setSkip, setStopFlowOnError, setUp, setVariables, shallowCopy, shallowCopy, silentTipText, sizeOf, skipTipText, stopExecution, stopExecution, stopFlowOnErrorTipText, updateDetectedVariables, updatePrefix, updateVariables, variableChanged
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Methods inherited from class adams.core.option.AbstractOptionHandler
cleanUpOptions, finishInit, getDefaultLoggingLevel, getOptionManager, loggingLevelTipText, newOptionManager, setLoggingLevel, toCommandLine, toString
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Methods inherited from class adams.core.logging.LoggingObject
getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled
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Methods inherited from class java.lang.Object
clone, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Methods inherited from interface adams.flow.core.Actor
cleanUp, compareTo, destroy, equals, findVariables, getAnnotations, getDefaultName, getDetectedVariables, getErrorHandler, getFlowExecutionListeningSupporter, getFullName, getName, getNextSibling, getParent, getParentComponent, getPreviousSibling, getQuickInfo, getRoot, getScopeHandler, getSilent, getSkip, getStopFlowOnError, getStopMessage, getStorageHandler, getVariables, handleError, hasErrorHandler, hasStopMessage, index, isExecuted, isFinished, isHeadless, isStopped, setAnnotations, setErrorHandler, setName, setParent, setSilent, setSkip, setStopFlowOnError, setUp, setVariables, shallowCopy, shallowCopy, sizeOf, stopExecution, stopExecution, toCommandLine, variableChanged
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Method Detail
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globalInfo
public String globalInfo()
Returns a string describing the object.- Specified by:
globalInfo
in interfaceadams.core.GlobalInfoSupporter
- Specified by:
globalInfo
in classadams.core.option.AbstractOptionHandler
- Returns:
- a description suitable for displaying in the gui
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defineOptions
public void defineOptions()
Adds options to the internal list of options.- Specified by:
defineOptions
in interfaceadams.core.option.OptionHandler
- Overrides:
defineOptions
in classadams.flow.core.AbstractActor
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classifierTipText
public String classifierTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
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setOptimizer
public void setOptimizer(weka.classifiers.Classifier value)
Sets the optimizer to use.- Parameters:
value
- the optimizer
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getOptimizer
public weka.classifiers.Classifier getOptimizer()
Returns the optimizer in use.- Returns:
- the optimizer
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optimizerTipText
public String optimizerTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
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accepts
public Class[] accepts()
Returns the class that the consumer accepts.- Returns:
- weka.core.Instances.class
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generates
public Class[] generates()
Returns the class of objects that it generates.- Returns:
- String.class or weka.classifiers.Evaluation.class
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doExecute
protected String doExecute()
Executes the flow item.- Specified by:
doExecute
in classadams.flow.core.AbstractActor
- Returns:
- null if everything is fine, otherwise error message
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