Package weka.classifiers.functions
Class FakeClassifier
- java.lang.Object
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- weka.classifiers.AbstractClassifier
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- weka.classifiers.functions.FakeClassifier
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- All Implemented Interfaces:
Serializable
,Cloneable
,weka.classifiers.Classifier
,weka.classifiers.UpdateableClassifier
,weka.core.BatchPredictor
,weka.core.CapabilitiesHandler
,weka.core.CapabilitiesIgnorer
,weka.core.CommandlineRunnable
,weka.core.OptionHandler
,weka.core.Randomizable
,weka.core.RevisionHandler
public class FakeClassifier extends weka.classifiers.AbstractClassifier implements weka.core.Randomizable, weka.classifiers.UpdateableClassifier
Fake classifier that requires no dataset for training and just outputs random values within the specified bounds.
Fake build and prediction times can be set as well.
Valid options are:
-seed <int> The seed value to use. (default: 1)
-build-wait <int> The number of msec for the classifier to idle at build time. (default: 0)
-update-wait <int> The number of msec for the classifier to idle at incremental build time. (default: 0)
-predict-wait <int> The number of msec for the classifier to idle at prediction time. (default: 0)
-predict-min <num> The minimum value to use for prediction. (default: 0.0)
-predict-max <num> The maximum value to use for prediction. (default: 1.0)
-output-debug-info If set, classifier is run in debug mode and may output additional info to the console
-do-not-check-capabilities If set, classifier capabilities are not checked before classifier is built (use with caution).
- 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 int
m_BuildWait
the build wait time in msec.protected double
m_PredictMax
the maximum to use for the predictions.protected double
m_PredictMin
the minimum to use for the predictions.protected int
m_PredictWait
the predict wait time in msec.protected Random
m_Random
for generating the random numbers.protected int
m_Seed
the seed.protected int
m_UpdateWait
the update wait time in msec.
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Constructor Summary
Constructors Constructor Description FakeClassifier()
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description void
buildClassifier(weka.core.Instances data)
Generates a classifier.String
buildWaitTipText()
Returns the tip text for this property.double
classifyInstance(weka.core.Instance instance)
Classifies the given test instance.int
getBuildWait()
Returns the time in msec to wait when calling buildClassifier.weka.core.Capabilities
getCapabilities()
Returns the Capabilities of this classifier.String[]
getOptions()
returns the options of the current setupdouble
getPredictMax()
Returns the maximum value to predict.double
getPredictMin()
Returns the minimum value to predict.int
getPredictWait()
Returns the time in msec to wait when calling classifyInstance.protected Random
getRandom()
Returns the random number generator to use.String
getRevision()
Returns the revision string.int
getSeed()
Returns the seed value for the random values.int
getUpdateWait()
Returns the time in msec to wait when calling updateClassifier.String
globalInfo()
Returns a string describing classifierEnumeration
listOptions()
Gets an enumeration describing the available options.static void
main(String[] args)
Main method for running this class.String
predictMaxTipText()
Returns the tip text for this property.String
predictMinTipText()
Returns the tip text for this property.String
predictWaitTipText()
Returns the tip text for this property.String
seedTipText()
Returns the tip text for this property.void
setBuildWait(int value)
Sets the time in msec to wait when calling buildClassifier.void
setOptions(String[] options)
Parses the options for this object.void
setPredictMax(double value)
Sets the maximum value to predict.void
setPredictMin(double value)
Sets the minimum value to predict.void
setPredictWait(int value)
Sets the time in msec to wait when calling classifyInstance.void
setSeed(int value)
Sets the seed value for the random values.void
setUpdateWait(int value)
Sets the time in msec to wait when calling updateClassifier.String
toString()
Returns a string representation of the built model.void
updateClassifier(weka.core.Instance instance)
Does nothing.String
updateWaitTipText()
Returns the tip text for this property.protected void
wait(int msec)
Waits for a specified amount of time.-
Methods inherited from class weka.classifiers.AbstractClassifier
batchSizeTipText, debugTipText, distributionForInstance, distributionsForInstances, doNotCheckCapabilitiesTipText, forName, getBatchSize, getDebug, getDoNotCheckCapabilities, getNumDecimalPlaces, implementsMoreEfficientBatchPrediction, makeCopies, makeCopy, numDecimalPlacesTipText, postExecution, preExecution, run, runClassifier, setBatchSize, setDebug, setDoNotCheckCapabilities, setNumDecimalPlaces
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Field Detail
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m_Seed
protected int m_Seed
the seed.
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m_BuildWait
protected int m_BuildWait
the build wait time in msec.
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m_UpdateWait
protected int m_UpdateWait
the update wait time in msec.
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m_PredictWait
protected int m_PredictWait
the predict wait time in msec.
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m_PredictMin
protected double m_PredictMin
the minimum to use for the predictions.
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m_PredictMax
protected double m_PredictMax
the maximum to use for the predictions.
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m_Random
protected Random m_Random
for generating the random numbers.
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Method Detail
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globalInfo
public String globalInfo()
Returns a string describing classifier- Returns:
- a description suitable for displaying in the explorer/experimenter gui
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listOptions
public Enumeration listOptions()
Gets an enumeration describing the available options.- Specified by:
listOptions
in interfaceweka.core.OptionHandler
- Overrides:
listOptions
in classweka.classifiers.AbstractClassifier
- Returns:
- an enumeration of all the available options.
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getOptions
public String[] getOptions()
returns the options of the current setup- Specified by:
getOptions
in interfaceweka.core.OptionHandler
- Overrides:
getOptions
in classweka.classifiers.AbstractClassifier
- Returns:
- the current options
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setOptions
public void setOptions(String[] options) throws Exception
Parses the options for this object.- Specified by:
setOptions
in interfaceweka.core.OptionHandler
- Overrides:
setOptions
in classweka.classifiers.AbstractClassifier
- Parameters:
options
- the options to use- Throws:
Exception
- if setting of options fails
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setSeed
public void setSeed(int value)
Sets the seed value for the random values.- Specified by:
setSeed
in interfaceweka.core.Randomizable
- Parameters:
value
- the seed
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getSeed
public int getSeed()
Returns the seed value for the random values.- Specified by:
getSeed
in interfaceweka.core.Randomizable
- Returns:
- the seed
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seedTipText
public String seedTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the explorer/experimenter gui
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setBuildWait
public void setBuildWait(int value)
Sets the time in msec to wait when calling buildClassifier.- Parameters:
value
- the time in msec
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getBuildWait
public int getBuildWait()
Returns the time in msec to wait when calling buildClassifier.- Returns:
- the time in msec
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buildWaitTipText
public String buildWaitTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the explorer/experimenter gui
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setUpdateWait
public void setUpdateWait(int value)
Sets the time in msec to wait when calling updateClassifier.- Parameters:
value
- the time in msec
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getUpdateWait
public int getUpdateWait()
Returns the time in msec to wait when calling updateClassifier.- Returns:
- the time in msec
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updateWaitTipText
public String updateWaitTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the explorer/experimenter gui
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setPredictWait
public void setPredictWait(int value)
Sets the time in msec to wait when calling classifyInstance.- Parameters:
value
- the time in msec
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getPredictWait
public int getPredictWait()
Returns the time in msec to wait when calling classifyInstance.- Returns:
- the time in msec
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predictWaitTipText
public String predictWaitTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the explorer/experimenter gui
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setPredictMin
public void setPredictMin(double value)
Sets the minimum value to predict.- Parameters:
value
- the minimum value
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getPredictMin
public double getPredictMin()
Returns the minimum value to predict.- Returns:
- the minimum value
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predictMinTipText
public String predictMinTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the explorer/experimenter gui
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setPredictMax
public void setPredictMax(double value)
Sets the maximum value to predict.- Parameters:
value
- the maximum value
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getPredictMax
public double getPredictMax()
Returns the maximum value to predict.- Returns:
- the maximum value
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predictMaxTipText
public String predictMaxTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the explorer/experimenter gui
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getCapabilities
public weka.core.Capabilities getCapabilities()
Returns the Capabilities of this classifier. Maximally permissive capabilities are allowed by default. Derived classifiers should override this method and first disable all capabilities and then enable just those capabilities that make sense for the scheme.- Specified by:
getCapabilities
in interfaceweka.core.CapabilitiesHandler
- Specified by:
getCapabilities
in interfaceweka.classifiers.Classifier
- Overrides:
getCapabilities
in classweka.classifiers.AbstractClassifier
- Returns:
- the capabilities of this object
- See Also:
Capabilities
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wait
protected void wait(int msec)
Waits for a specified amount of time.- Parameters:
msec
- the time in msec to wait
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buildClassifier
public void buildClassifier(weka.core.Instances data) throws Exception
Generates a classifier.- Specified by:
buildClassifier
in interfaceweka.classifiers.Classifier
- Parameters:
data
- set of instances serving as training data- Throws:
Exception
- if the classifier has not been generated successfully
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getRandom
protected Random getRandom()
Returns the random number generator to use.- Returns:
- the random number generator
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updateClassifier
public void updateClassifier(weka.core.Instance instance) throws Exception
Does nothing.- Specified by:
updateClassifier
in interfaceweka.classifiers.UpdateableClassifier
- Parameters:
instance
-- Throws:
Exception
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classifyInstance
public double classifyInstance(weka.core.Instance instance) throws Exception
Classifies the given test instance. The instance has to belong to a dataset when it's being classified.- Specified by:
classifyInstance
in interfaceweka.classifiers.Classifier
- Overrides:
classifyInstance
in classweka.classifiers.AbstractClassifier
- Parameters:
instance
- the instance to be classified- Returns:
- the predicted most likely class for the instance or Instance.missingValue() if no prediction is made
- Throws:
Exception
- if an error occurred during the prediction
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getRevision
public String getRevision()
Returns the revision string.- Specified by:
getRevision
in interfaceweka.core.RevisionHandler
- Overrides:
getRevision
in classweka.classifiers.AbstractClassifier
- Returns:
- the revision
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toString
public String toString()
Returns a string representation of the built model.
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main
public static void main(String[] args)
Main method for running this class.- Parameters:
args
- the commandline parameters
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