Overview | Package | Class | Tree | Deprecated | Index | Help | Weka's home
PREV CLASS NEXT CLASS | FRAMES NO FRAMES
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD

## weka.classifiers.functions.supportVector
Class RegOptimizer

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

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

Version:
  $Revision: 6622 $
Author:
  Remco Bouckaert (remco@cs.waikato.ac.nz,rrb@xm.co.nz)
See Also:
  Serialized Form

Field Summary
`double[]` | `m_alpha` alpha and alpha* arrays containing weights for solving dual problem
`double[]` | `m_alphaStar`

Constructor Summary
`RegOptimizer()` the default constructor

Method Summary
`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.
`int` | `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` in interface `OptionHandler`
  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` in interface `OptionHandler`
  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`
  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 value)

  sets the parent SVM

  Parameters:
    `value` - the parent SVM

### getKernelEvaluations

    public int 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 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 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` in interface `RevisionHandler`
  Returns:
    the revision

Overview | Package | Class | Tree | Deprecated | Index | Help | Weka's home
PREV CLASS NEXT CLASS | FRAMES NO FRAMES
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD