Package adams.flow.transformer
Class MOAClassifying
- 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.AbstractProcessMOAInstanceWithModel<moa.classifiers.Classifier>
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- adams.flow.transformer.MOAClassifying
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- All Implemented Interfaces:
adams.core.AdditionalInformationHandler,adams.core.CleanUpHandler,adams.core.Destroyable,adams.core.GlobalInfoSupporter,adams.core.io.ModelFileHandler,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.DynamicInitializer,adams.flow.core.DynamicModelLoaderSupporter,adams.flow.core.ErrorHandler,adams.flow.core.InputConsumer,adams.flow.core.ModelLoaderSupporter,adams.flow.core.OptionalModelResetWithVariable,adams.flow.core.OutputProducer,Serializable,Comparable
public class MOAClassifying extends AbstractProcessMOAInstanceWithModel<moa.classifiers.Classifier>
Uses a serialized MOA model to perform predictions on the data being passed through.
The following order is used to obtain the model (when using AUTO):
1. model file present?
2. source actor present?
3. storage item present?
Optionally, the model can be updated with data being passed through.
Input/output:
- accepts:
weka.core.Instance
- generates:
adams.flow.container.WekaPredictionContainer
weka.core.Instance
Container information:
- adams.flow.container.WekaPredictionContainer: Instance, Classification, Classification label, Distribution, Range check, Abstention classification, Abstention classification label, Abstention distribution
-logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST> (property: loggingLevel) The logging level for outputting errors and debugging output. default: WARNING
-name <java.lang.String> (property: name) The name of the actor. default: MOAClassifying
-annotation <adams.core.base.BaseAnnotation> (property: annotations) The annotations to attach to this actor. default:
-skip <boolean> (property: skip) If set to true, transformation is skipped and the input token is just forwarded as it is. default: false
-stop-flow-on-error <boolean> (property: stopFlowOnError) If set to true, the flow execution at this level gets stopped in case this actor encounters an error; the error gets propagated; useful for critical actors. default: false
-silent <boolean> (property: silent) If enabled, then no errors are output in the console; Note: the enclosing actor handler must have this enabled as well. default: false
-model-loading-type <AUTO|FILE|SOURCE_ACTOR|STORAGE> (property: modelLoadingType) Determines how to load the model, in case of AUTO, first the model file is checked, then the callable actor and then the storage. default: AUTO
-model <adams.core.io.PlaceholderFile> (property: modelFile) The file to load the model from, ignored if pointing to a directory. default: ${CWD}-model-actor <adams.flow.core.CallableActorReference> (property: modelActor) The callable actor (source) to obtain the model from, ignored if not present. default:
-model-storage <adams.flow.control.StorageName> (property: modelStorage) The storage item to obtain the model from, ignored if not present. default: storage
-on-the-fly <boolean> (property: onTheFly) If set to true, the model file is not required to be present at set up time (eg if built on the fly), only at execution time. default: false
-use-model-reset-variable <boolean> (property: useModelResetVariable) If enabled, chnages to the specified variable are monitored in order to reset the model, eg when a storage model changed. default: false
-model-reset-variable <adams.core.VariableName> (property: modelResetVariable) The variable to monitor for changes in order to reset the model, eg when a storage model changed. default: variable
-output-instance <boolean> (property: outputInstance) Whether to output weka.core.Instance objects or PredictionContainer objects. default: false
-update-model <boolean> (property: updateModel) Whether to update the model with the Instance (in case its class value isn't missing) after making the prediction. default: false
- 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 booleanm_OutputInstancewhether to output weka.core.Instance objects or PredictionContainers.protected booleanm_UpdateModelwhether to update the model after making the prediction.-
Fields inherited from class adams.flow.transformer.AbstractProcessMOAInstanceWithModel
BACKUP_MODEL, m_Model, m_ModelLoader, m_ModelResetVariable, m_OnTheFly, m_ResetModel, m_UseModelResetVariable
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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 MOAClassifying()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description voiddefineOptions()Adds options to the internal list of options.Class[]generates()Returns the class of objects that it generates.booleangetOutputInstance()Returns whether Instance objects are output instead of PredictionContainer ones.booleangetUpdateModel()Returns whether update the model after making the prediction (in case the class value isn't missing).StringglobalInfo()Returns a string describing the object.protected adams.flow.core.AbstractModelLoadernewModelLoader()Instantiates the model loader to use.StringoutputInstanceTipText()Returns the tip text for this property.protected adams.flow.core.TokenprocessInstance(com.yahoo.labs.samoa.instances.Instance inst)Processes the instance and generates the output token.voidsetOutputInstance(boolean value)Sets whether to output Instance objects instead of PredictionContainer ones.voidsetUpdateModel(boolean value)Sets whether to update the model after making the prediction (in case the class value isn't missing).StringupdateModelTipText()Returns the tip text for this property.-
Methods inherited from class adams.flow.transformer.AbstractProcessMOAInstanceWithModel
accepts, backupState, doExecute, getModelActor, getModelFile, getModelLoadingType, getModelResetVariable, getModelStorage, getOnTheFly, getQuickInfo, getUseModelResetVariable, initialize, modelActorTipText, modelFileTipText, modelLoadingTypeTipText, modelResetVariableTipText, modelStorageTipText, onTheFlyTipText, pruneBackup, reset, restoreState, setLoggingLevel, setModelActor, setModelFile, setModelLoadingType, setModelResetVariable, setModelStorage, setOnTheFly, setUp, setUpModel, setUseModelResetVariable, useModelResetVariableTipText, variableChanged, wrapUp
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Methods inherited from class adams.flow.transformer.AbstractTransformer
currentInput, execute, hasInput, hasPendingOutput, input, output, postExecute
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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, getRoot, getScopeHandler, getSilent, getSkip, getStopFlowOnError, getStopMessage, getStorageHandler, getVariables, handleError, handleException, hasErrorHandler, hasStopMessage, index, isBackedUp, isExecuted, isExecuting, isFinished, isHeadless, isStopped, nameTipText, performSetUpChecks, performVariableChecks, preExecute, pruneBackup, setAnnotations, setErrorHandler, setName, setParent, setSilent, setSkip, setStopFlowOnError, setVariables, shallowCopy, shallowCopy, silentTipText, sizeOf, skipTipText, stopExecution, stopExecution, stopFlowOnErrorTipText, updateDetectedVariables, updatePrefix, updateVariables
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Methods inherited from class adams.core.option.AbstractOptionHandler
cleanUpOptions, finishInit, getDefaultLoggingLevel, getOptionManager, loggingLevelTipText, newOptionManager, 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, execute, findVariables, getAnnotations, getDefaultName, getDetectedVariables, getErrorHandler, getFlowExecutionListeningSupporter, getFullName, getName, getNextSibling, getParent, getParentComponent, getPreviousSibling, getRoot, getScopeHandler, getSilent, getSkip, getStopFlowOnError, getStopMessage, getStorageHandler, getVariables, handleError, hasErrorHandler, hasStopMessage, index, isExecuted, isFinished, isHeadless, isStopped, setAnnotations, setErrorHandler, setName, setParent, setSilent, setSkip, setStopFlowOnError, setVariables, shallowCopy, shallowCopy, sizeOf, stopExecution, stopExecution, toCommandLine
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Method Detail
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globalInfo
public String globalInfo()
Returns a string describing the object.- Specified by:
globalInfoin interfaceadams.core.GlobalInfoSupporter- Specified by:
globalInfoin 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:
defineOptionsin interfaceadams.core.option.OptionHandler- Overrides:
defineOptionsin classAbstractProcessMOAInstanceWithModel<moa.classifiers.Classifier>
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newModelLoader
protected adams.flow.core.AbstractModelLoader newModelLoader()
Instantiates the model loader to use.- Specified by:
newModelLoaderin classAbstractProcessMOAInstanceWithModel<moa.classifiers.Classifier>- Returns:
- the model loader to use
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setOutputInstance
public void setOutputInstance(boolean value)
Sets whether to output Instance objects instead of PredictionContainer ones.- Parameters:
value- if true then Instance objects are output
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getOutputInstance
public boolean getOutputInstance()
Returns whether Instance objects are output instead of PredictionContainer ones.- Returns:
- true if Instance objects are output
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outputInstanceTipText
public String outputInstanceTipText()
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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setUpdateModel
public void setUpdateModel(boolean value)
Sets whether to update the model after making the prediction (in case the class value isn't missing).- Parameters:
value- if true then update model
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getUpdateModel
public boolean getUpdateModel()
Returns whether update the model after making the prediction (in case the class value isn't missing).- Returns:
- true if model gets updated
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updateModelTipText
public String updateModelTipText()
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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generates
public Class[] generates()
Returns the class of objects that it generates.- Specified by:
generatesin interfaceadams.flow.core.OutputProducer- Specified by:
generatesin classAbstractProcessMOAInstanceWithModel<moa.classifiers.Classifier>- Returns:
- adams.flow.container.WekaPredictionContainer.class, weka.core.Instance.class
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processInstance
protected adams.flow.core.Token processInstance(com.yahoo.labs.samoa.instances.Instance inst) throws ExceptionProcesses the instance and generates the output token.- Specified by:
processInstancein classAbstractProcessMOAInstanceWithModel<moa.classifiers.Classifier>- Parameters:
inst- the instance to process- Returns:
- the generated output token (e.g., container)
- Throws:
Exception- if processing fails
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