RegOptimizer (original) (raw)

• java.lang.Object

• • weka.classifiers.functions.supportVector.RegOptimizer

• 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
The epsilon parameter in epsilon-insensitive loss function.
(default 1.0e-3)
-W
The random number seed.
(default 1)
Version: Revision:11614Revision: 11614 Revision:11614
Author:
Remco Bouckaert (remco@cs.waikato.ac.nz,rrb@xm.co.nz)
See Also:
Serialized Form

• • Field Summary

  Fields

  Modifier and Type	Field and Description
  double[]	m_alpha alpha and alpha* arrays containing weights for solving dual problem
  double[]	m_alphaStar

  • Constructor Summary

  Constructors

  Constructor and Description
  RegOptimizer() the default constructor

  • Method Summary

  All Methods Instance Methods Concrete Methods

  Modifier and Type	Method and Description
  void	buildClassifier(Instances data) learn SVM parameters from data.
  java.lang.String	epsilonParameterTipText() Returns the tip text for this property
  int	getCacheHits() return the number of kernel cache hits
  double	getEpsilonParameter() Get the value of epsilon parameter of the epsilon insensitive loss function.
  long	getKernelEvaluations() returns the number of kernel evaluations
  java.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 generator
  java.util.Enumeration	listOptions() Gets an enumeration describing the available options.
  boolean	modelBuilt() flag to indicate whether the model was built yet
  java.lang.String	seedTipText() Returns the tip text for this property
  void	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 generator
  void	setSMOReg(SMOreg value) sets the parent SVM
  double	SVMOutput(Instance inst)
  java.lang.String	toString() Prints out the classifier.

     * ### Methods inherited from class java.lang.Object  
     `equals, getClass, hashCode, notify, notifyAll, wait, wait, wait`

• • Field Detail

     * #### m\_alpha  
     public double[] m_alpha  
     alpha and alpha\* arrays containing weights for solving dual problem  
     * #### m\_alphaStar  
     public double[] m_alphaStar  

  • Constructor Detail

    * #### RegOptimizer  
    public RegOptimizer()  
    the default constructor  

  • Method Detail

    * #### listOptions  
    public java.util.Enumeration listOptions()  
    Gets an enumeration describing the available options.  
    Specified by:  
    `[listOptions](../../../../weka/core/OptionHandler.html#listOptions--)` in interface `[OptionHandler](../../../../weka/core/OptionHandler.html "interface in weka.core")`  
    Returns:  
    an enumeration of all the available options.  
    * #### 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](../../../../weka/core/OptionHandler.html#setOptions-java.lang.String:A-)` in interface `[OptionHandler](../../../../weka/core/OptionHandler.html "interface in weka.core")`  
    Parameters:  
    `options` \- the list of options as an array of strings  
    Throws:  
    `java.lang.Exception` \- if an option is not supported  
    * #### getOptions  
    public java.lang.String[] getOptions()  
    Gets the current settings of the classifier.  
    Specified by:  
    `[getOptions](../../../../weka/core/OptionHandler.html#getOptions--)` in interface `[OptionHandler](../../../../weka/core/OptionHandler.html "interface in weka.core")`  
    Returns:  
    an array of strings suitable for passing to setOptions  
    * #### modelBuilt  
    public boolean modelBuilt()  
    flag to indicate whether the model was built yet  
    Returns:  
    true if the model was built  
    * #### setSMOReg  
    public void setSMOReg([SMOreg](../../../../weka/classifiers/functions/SMOreg.html "class in weka.classifiers.functions") value)  
    sets the parent SVM  
    Parameters:  
    `value` \- the parent SVM  
    * #### getKernelEvaluations  
    public long getKernelEvaluations()  
    returns the number of kernel evaluations  
    Returns:  
    the number of kernel evaluations  
    * #### getCacheHits  
    public int getCacheHits()  
    return the number of kernel cache hits  
    Returns:  
    the number of hits  
    * #### buildClassifier  
    public void buildClassifier([Instances](../../../../weka/core/Instances.html "class in weka.core") 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  
    * #### SVMOutput  
    public double SVMOutput([Instance](../../../../weka/core/Instance.html "class in weka.core") inst)  
                     throws java.lang.Exception  
    Parameters:  
    `inst` \-  
    Returns:  
    Throws:  
    `java.lang.Exception`  
    * #### 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  
    * #### getSeed  
    public int getSeed()  
    Gets the current seed value for the random number generator  
    Returns:  
    the seed value  
    * #### setSeed  
    public void setSeed(int value)  
    Sets the seed value for the random number generator  
    Parameters:  
    `value` \- the seed value  
    * #### 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  
    * #### getEpsilonParameter  
    public double getEpsilonParameter()  
    Get the value of epsilon parameter of the epsilon insensitive loss function.  
    Returns:  
    Value of epsilon parameter.  
    * #### 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.  
    * #### toString  
    public java.lang.String toString()  
    Prints out the classifier.  
    Overrides:  
    `toString` in class `java.lang.Object`  
    Returns:  
    a description of the classifier as a string  
    * #### getRevision  
    public java.lang.String getRevision()  
    Returns the revision string.  
    Specified by:  
    `[getRevision](../../../../weka/core/RevisionHandler.html#getRevision--)` in interface `[RevisionHandler](../../../../weka/core/RevisionHandler.html "interface in weka.core")`  
    Returns:  
    the revision