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## weka.classifiers.functions.supportVector
Class RegSMO

    java.lang.Object
      weka.classifiers.functions.supportVector.RegOptimizer
          weka.classifiers.functions.supportVector.RegSMO

All Implemented Interfaces:
  java.io.Serializable, OptionHandler, RevisionHandler, TechnicalInformationHandler

Direct Known Subclasses:
  RegSMOImproved

    public class RegSMO

extends RegOptimizer
implements TechnicalInformationHandler

Implementation of SMO for support vector regression as described in :
A.J. Smola, B. Schoelkopf (1998). A tutorial on support vector regression.

BibTeX:

     @misc{Smola1998,
        author = {A.J. Smola and B. Schoelkopf},
        note = {NeuroCOLT2 Technical Report NC2-TR-1998-030},
        title = {A tutorial on support vector regression},
        year = {1998}
     }

Valid options are:

     -P <double>
      The epsilon for round-off error.
      (default 1.0e-12)

     -L <double>
      The epsilon parameter in epsilon-insensitive loss function.
      (default 1.0e-3)

     -W <double>
      The random number seed.
      (default 1)

Version:
  $Revision: 1.4 $
Author:
  Remco Bouckaert (remco@cs.waikato.ac.nz,rrb@xm.co.nz)
See Also:
  Serialized Form

Field Summary

Fields inherited from class weka.classifiers.functions.supportVector.RegOptimizer
`m_alpha, m_alphaStar`

Constructor Summary
`RegSMO()` default constructor

Method Summary
`void` | `buildClassifier(Instances instances)` learn SVM parameters from data using Smola's SMO algorithm.
`java.lang.String` | `epsilonTipText()` Returns the tip text for this property
`double` | `getEpsilon()` Get the value of epsilon.
`java.lang.String[]` | `getOptions()` Gets the current settings of the classifier.
`java.lang.String` | `getRevision()` Returns the revision string.
`TechnicalInformation` | `getTechnicalInformation()` Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
`java.lang.String` | `globalInfo()` Returns a string describing classifier
`java.util.Enumeration` | `listOptions()` Returns an enumeration describing the available options
`void` | `optimize()` finds alpha and alpha* parameters that optimize the SVM target function
`void` | `setEpsilon(double v)` Set the value of epsilon.
`void` | `setOptions(java.lang.String[] options)` Parses a given list of options.

Methods inherited from class weka.classifiers.functions.supportVector.RegOptimizer
`epsilonParameterTipText, getCacheHits, getEpsilonParameter, getKernelEvaluations, getSeed, modelBuilt, seedTipText, setEpsilonParameter, setSeed, setSMOReg, SVMOutput, toString`

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

Constructor Detail

### RegSMO

    public RegSMO()

  default constructor

Method Detail

### globalInfo

    public java.lang.String globalInfo()

  Returns a string describing classifier

  Returns:
    a description suitable for displaying in the explorer/experimenter gui

### getTechnicalInformation

    public TechnicalInformation getTechnicalInformation()

  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

  Specified by:
    `getTechnicalInformation` in interface `TechnicalInformationHandler`
  Returns:
    the technical information about this class

### listOptions

    public java.util.Enumeration listOptions()

  Returns an enumeration describing the available options

  Specified by:
    `listOptions` in interface `OptionHandler`
  Overrides:
    `listOptions` in class `RegOptimizer`
  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:

       -P <double>
        The epsilon for round-off error.
        (default 1.0e-12)

       -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 interface `OptionHandler`
  Overrides:
    `setOptions` in class `RegOptimizer`
  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` in interface `OptionHandler`
  Overrides:
    `getOptions` in class `RegOptimizer`
  Returns:
    an array of strings suitable for passing to setOptions

### epsilonTipText

    public java.lang.String epsilonTipText()

  Returns the tip text for this property

  Returns:
    tip text for this property suitable for displaying in the explorer/experimenter gui

### getEpsilon

    public double getEpsilon()

  Get the value of epsilon.

  Returns:
    Value of epsilon.

### setEpsilon

    public void setEpsilon(double v)

  Set the value of epsilon.

  Parameters:
    `v` - Value to assign to epsilon.

### optimize

    public void optimize()
                  throws java.lang.Exception

  finds alpha and alpha* parameters that optimize the SVM target function

  Throws:
    `java.lang.Exception`

### buildClassifier

    public void buildClassifier(Instances instances)
                         throws java.lang.Exception

  learn SVM parameters from data using Smola's SMO algorithm. Subclasses should implement something more interesting.

  Overrides:
    `buildClassifier` in class `RegOptimizer`
  Parameters:
    `instances` - the data to learn from
  Throws:
    `java.lang.Exception` - if something goes wrong

### getRevision

    public java.lang.String getRevision()

  Returns the revision string.

  Specified by:
    `getRevision` in interface `RevisionHandler`
  Overrides:
    `getRevision` in class `RegOptimizer`
  Returns:
    the revision

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