Package adams.flow.transformer
Class WekaClassifying
- 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.AbstractProcessWekaInstanceWithModel<weka.classifiers.Classifier>
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- adams.flow.transformer.WekaClassifying
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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.OutputProducer
,Serializable
,Comparable
public class WekaClassifying extends AbstractProcessWekaInstanceWithModel<weka.classifiers.Classifier>
Uses a serialized 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?
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: WekaClassifying
-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
- 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 boolean
m_OutputInstance
whether to output weka.core.Instance objects or PredictionContainers.-
Fields inherited from class adams.flow.transformer.AbstractProcessWekaInstanceWithModel
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 WekaClassifying()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description void
defineOptions()
Adds options to the internal list of options.Class[]
generates()
Returns the class of objects that it generates.boolean
getOutputInstance()
Returns whether Instance objects are output instead of PredictionContainer ones.String
globalInfo()
Returns a string describing the object.protected adams.flow.core.AbstractModelLoader
newModelLoader()
Instantiates the model loader to use.String
outputInstanceTipText()
Returns the tip text for this property.protected adams.flow.core.Token
processInstance(weka.core.Instance inst)
Processes the instance and generates the output token.void
setOutputInstance(boolean value)
Sets whether to output Instance objects instead of PredictionContainer ones.-
Methods inherited from class adams.flow.transformer.AbstractProcessWekaInstanceWithModel
accepts, backupState, doExecute, getModelActor, getModelContainerClass, getModelFile, getModelFromContainer, 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:
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 classAbstractProcessWekaInstanceWithModel<weka.classifiers.Classifier>
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newModelLoader
protected adams.flow.core.AbstractModelLoader newModelLoader()
Instantiates the model loader to use.- Specified by:
newModelLoader
in classAbstractProcessWekaInstanceWithModel<weka.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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generates
public Class[] generates()
Returns the class of objects that it generates.- Specified by:
generates
in interfaceadams.flow.core.OutputProducer
- Specified by:
generates
in classAbstractProcessWekaInstanceWithModel<weka.classifiers.Classifier>
- Returns:
- adams.flow.container.WekaPredictionContainer.class, weka.core.Instance.class
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processInstance
protected adams.flow.core.Token processInstance(weka.core.Instance inst) throws Exception
Processes the instance and generates the output token.- Specified by:
processInstance
in classAbstractProcessWekaInstanceWithModel<weka.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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