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## weka.classifiers.functions
Class Winnow

    java.lang.Object
      weka.classifiers.Classifier
          weka.classifiers.functions.Winnow

All Implemented Interfaces:
  java.io.Serializable, java.lang.Cloneable, UpdateableClassifier, OptionHandler

    public class Winnow

extends Classifier
implements UpdateableClassifier

Implements Winnow and Balanced Winnow algorithms by N. Littlestone. For more information, see

N. Littlestone (1988). Learning quickly when irrelevant attributes are abound: A new linear threshold algorithm. Machine Learning 2, pp. 285-318.

and N. Littlestone (1989). Mistake bounds and logarithmic linear-threshold learning algorithms. Technical report UCSC-CRL-89-11, University of California, Santa Cruz.

Valid options are:

-L
Use the baLanced variant (default: false)

-I num
The number of iterations to be performed. (default 1)

-A double
Promotion coefficient alpha. (default 2.0)

-B double
Demotion coefficient beta. (default 0.5)

-W double
Starting weights of the prediction coeffs. (default 2.0)

-H double
Prediction threshold. (default -1.0 == number of attributes)

-S int
Random seed to shuffle the input. (default 1), -1 == no shuffling

Version:
  $Revision: 1.8 $
Author:
  J. Lindgren (jtlindgr cs.helsinki.fi)
See Also:
  Serialized Form

Constructor Summary
`Winnow()`

Method Summary
`java.lang.String` | `alphaTipText()` Returns the tip text for this property
`java.lang.String` | `balancedTipText()` Returns the tip text for this property
`java.lang.String` | `betaTipText()` Returns the tip text for this property
`void` | `buildClassifier(Instances insts)` Builds the classifier
`double` | `classifyInstance(Instance inst)` Outputs the prediction for the given instance.
`java.lang.String` | `defaultWeightTipText()` Returns the tip text for this property
`double` | `getAlpha()` Get the value of Alpha.
`boolean` | `getBalanced()` Get the value of Balanced.
`double` | `getBeta()` Get the value of Beta.
`double` | `getDefaultWeight()` Get the value of defaultWeight.
`int` | `getNumIterations()` Get the value of numIterations.
`java.lang.String[]` | `getOptions()` Gets the current settings of the classifier.
`int` | `getSeed()` Get the value of Seed.
`double` | `getThreshold()` Get the value of Threshold.
`java.lang.String` | `globalInfo()` Returns a string describing classifier
`java.util.Enumeration` | `listOptions()` Returns an enumeration describing the available options
`static void` | `main(java.lang.String[] argv)` Main method.
`java.lang.String` | `numIterationsTipText()` Returns the tip text for this property
`java.lang.String` | `seedTipText()` Returns the tip text for this property
`void` | `setAlpha(double a)` Set the value of Alpha.
`void` | `setBalanced(boolean b)` Set the value of Balanced.
`void` | `setBeta(double b)` Set the value of Beta.
`void` | `setDefaultWeight(double w)` Set the value of defaultWeight.
`void` | `setNumIterations(int v)` Set the value of numIterations.
`void` | `setOptions(java.lang.String[] options)` Parses a given list of options.
`void` | `setSeed(int v)` Set the value of Seed.
`void` | `setThreshold(double t)` Set the value of Threshold.
`java.lang.String` | `thresholdTipText()` Returns the tip text for this property
`java.lang.String` | `toString()` Returns textual description of the classifier.
`void` | `updateClassifier(Instance instance)` Updates the classifier with a new learning example

Methods inherited from class weka.classifiers.Classifier
`debugTipText, distributionForInstance, forName, getDebug, makeCopies, makeCopy, setDebug`

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

Constructor Detail

### Winnow

    public Winnow()

Method Detail

### globalInfo

    public java.lang.String globalInfo()

  Returns a string describing classifier

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

### listOptions

    public java.util.Enumeration listOptions()

  Returns an enumeration describing the available options

  Specified by:
    `listOptions` in interface `OptionHandler`
  Overrides:
    `listOptions` in class `Classifier`
  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.

  Specified by:
    `setOptions` in interface `OptionHandler`
  Overrides:
    `setOptions` in class `Classifier`
  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 `Classifier`
  Returns:
    an array of strings suitable for passing to setOptions

### buildClassifier

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

  Builds the classifier

  Specified by:
    `buildClassifier` in class `Classifier`
  Parameters:
    `insts` - set of instances serving as training data
  Throws:
    `java.lang.Exception` - if something goes wrong during building

### updateClassifier

    public void updateClassifier(Instance instance)
                          throws java.lang.Exception

  Updates the classifier with a new learning example

  Specified by:
    `updateClassifier` in interface `UpdateableClassifier`
  Parameters:
    `instance` - the instance to included
  Throws:
    `java.lang.Exception` - if something goes wrong

### classifyInstance

    public double classifyInstance(Instance inst)
                            throws java.lang.Exception

  Outputs the prediction for the given instance.

  Overrides:
    `classifyInstance` in class `Classifier`
  Parameters:
    `inst` - the instance for which prediction is to be computed
  Returns:
    the prediction
  Throws:
    `java.lang.Exception` - if something goes wrong

### toString

    public java.lang.String toString()

  Returns textual description of the classifier.

  Overrides:
    `toString` in class `java.lang.Object`

### balancedTipText

    public java.lang.String balancedTipText()

  Returns the tip text for this property

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

### getBalanced

    public boolean getBalanced()

  Get the value of Balanced.

  Returns:
    Value of Balanced.

### setBalanced

    public void setBalanced(boolean b)

  Set the value of Balanced.

  Parameters:
    `b` - Value to assign to Balanced.

### alphaTipText

    public java.lang.String alphaTipText()

  Returns the tip text for this property

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

### getAlpha

    public double getAlpha()

  Get the value of Alpha.

  Returns:
    Value of Alpha.

### setAlpha

    public void setAlpha(double a)

  Set the value of Alpha.

  Parameters:
    `a` - Value to assign to Alpha.

### betaTipText

    public java.lang.String betaTipText()

  Returns the tip text for this property

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

### getBeta

    public double getBeta()

  Get the value of Beta.

  Returns:
    Value of Beta.

### setBeta

    public void setBeta(double b)

  Set the value of Beta.

  Parameters:
    `b` - Value to assign to Beta.

### thresholdTipText

    public java.lang.String thresholdTipText()

  Returns the tip text for this property

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

### getThreshold

    public double getThreshold()

  Get the value of Threshold.

  Returns:
    Value of Threshold.

### setThreshold

    public void setThreshold(double t)

  Set the value of Threshold.

  Parameters:
    `t` - Value to assign to Threshold.

### defaultWeightTipText

    public java.lang.String defaultWeightTipText()

  Returns the tip text for this property

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

### getDefaultWeight

    public double getDefaultWeight()

  Get the value of defaultWeight.

  Returns:
    Value of defaultWeight.

### setDefaultWeight

    public void setDefaultWeight(double w)

  Set the value of defaultWeight.

  Parameters:
    `w` - Value to assign to defaultWeight.

### numIterationsTipText

    public java.lang.String numIterationsTipText()

  Returns the tip text for this property

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

### getNumIterations

    public int getNumIterations()

  Get the value of numIterations.

  Returns:
    Value of numIterations.

### setNumIterations

    public void setNumIterations(int v)

  Set the value of numIterations.

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

### 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()

  Get the value of Seed.

  Returns:
    Value of Seed.

### setSeed

    public void setSeed(int v)

  Set the value of Seed.

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

### main

    public static void main(java.lang.String[] argv)

  Main method.

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