Class RegOptimizer
- java.lang.Object
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- weka.classifiers.functions.supportVector.RegOptimizer
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- All Implemented Interfaces:
java.io.Serializable
,OptionHandler
,RevisionHandler
- Direct Known Subclasses:
RegSMO
public class RegOptimizer extends java.lang.Object implements OptionHandler, java.io.Serializable, RevisionHandler
Base class implementation for learning algorithm of SMOreg Valid options are:-L <double> The epsilon parameter in epsilon-insensitive loss function. (default 1.0e-3)
-W <double> The random number seed. (default 1)
- Version:
- $Revision: 11614 $
- Author:
- Remco Bouckaert (remco@cs.waikato.ac.nz,rrb@xm.co.nz)
- See Also:
- Serialized Form
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Field Summary
Fields Modifier and Type Field Description double[]
m_alpha
alpha and alpha* arrays containing weights for solving dual problemdouble[]
m_alphaStar
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Constructor Summary
Constructors Constructor Description RegOptimizer()
the default constructor
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description void
buildClassifier(Instances data)
learn SVM parameters from data.java.lang.String
epsilonParameterTipText()
Returns the tip text for this propertyint
getCacheHits()
return the number of kernel cache hitsdouble
getEpsilonParameter()
Get the value of epsilon parameter of the epsilon insensitive loss function.long
getKernelEvaluations()
returns the number of kernel evaluationsjava.lang.String[]
getOptions()
Gets the current settings of the classifier.java.lang.String
getRevision()
Returns the revision string.int
getSeed()
Gets the current seed value for the random number generatorjava.util.Enumeration
listOptions()
Gets an enumeration describing the available options.boolean
modelBuilt()
flag to indicate whether the model was built yetjava.lang.String
seedTipText()
Returns the tip text for this propertyvoid
setEpsilonParameter(double v)
Set the value of epsilon parameter of the epsilon insensitive loss function.void
setOptions(java.lang.String[] options)
Parses a given list of options.void
setSeed(int value)
Sets the seed value for the random number generatorvoid
setSMOReg(SMOreg value)
sets the parent SVMdouble
SVMOutput(Instance inst)
java.lang.String
toString()
Prints out the classifier.
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Method Detail
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listOptions
public java.util.Enumeration listOptions()
Gets an enumeration describing the available options.- Specified by:
listOptions
in interfaceOptionHandler
- Returns:
- an enumeration of all the available options.
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setOptions
public void setOptions(java.lang.String[] options) throws java.lang.Exception
Parses a given list of options. Valid options are:-L <double> The epsilon parameter in epsilon-insensitive loss function. (default 1.0e-3)
-W <double> The random number seed. (default 1)
- Specified by:
setOptions
in interfaceOptionHandler
- Parameters:
options
- the list of options as an array of strings- Throws:
java.lang.Exception
- if an option is not supported
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getOptions
public java.lang.String[] getOptions()
Gets the current settings of the classifier.- Specified by:
getOptions
in interfaceOptionHandler
- Returns:
- an array of strings suitable for passing to setOptions
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modelBuilt
public boolean modelBuilt()
flag to indicate whether the model was built yet- Returns:
- true if the model was built
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setSMOReg
public void setSMOReg(SMOreg value)
sets the parent SVM- Parameters:
value
- the parent SVM
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getKernelEvaluations
public long getKernelEvaluations()
returns the number of kernel evaluations- Returns:
- the number of kernel evaluations
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getCacheHits
public int getCacheHits()
return the number of kernel cache hits- Returns:
- the number of hits
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buildClassifier
public void buildClassifier(Instances data) throws java.lang.Exception
learn SVM parameters from data. Subclasses should implement something more interesting.- Parameters:
data
- the data to work with- Throws:
java.lang.Exception
- always an Exceoption since subclasses must override it
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SVMOutput
public double SVMOutput(Instance inst) throws java.lang.Exception
- Parameters:
inst
-- Returns:
- Throws:
java.lang.Exception
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seedTipText
public java.lang.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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getSeed
public int getSeed()
Gets the current seed value for the random number generator- Returns:
- the seed value
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setSeed
public void setSeed(int value)
Sets the seed value for the random number generator- Parameters:
value
- the seed value
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epsilonParameterTipText
public java.lang.String epsilonParameterTipText()
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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getEpsilonParameter
public double getEpsilonParameter()
Get the value of epsilon parameter of the epsilon insensitive loss function.- Returns:
- Value of epsilon parameter.
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setEpsilonParameter
public void setEpsilonParameter(double v)
Set the value of epsilon parameter of the epsilon insensitive loss function.- Parameters:
v
- Value to assign to epsilon parameter.
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toString
public java.lang.String toString()
Prints out the classifier.- Overrides:
toString
in classjava.lang.Object
- Returns:
- a description of the classifier as a string
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getRevision
public java.lang.String getRevision()
Returns the revision string.- Specified by:
getRevision
in interfaceRevisionHandler
- Returns:
- the revision
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