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 NormalizedPolyKernel

    java.lang.Object
      weka.classifiers.functions.supportVector.Kernel
          weka.classifiers.functions.supportVector.CachedKernel
              weka.classifiers.functions.supportVector.PolyKernel
                  weka.classifiers.functions.supportVector.NormalizedPolyKernel

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

    public class NormalizedPolyKernel

extends PolyKernel

The normalized polynomial kernel.
K(x,y) = <x,y>/sqrt(<x,x><y,y>) where <x,y> = PolyKernel(x,y)

Valid options are:

     -D
      Enables debugging output (if available) to be printed.
      (default: off)

     -no-checks
      Turns off all checks - use with caution!
      (default: checks on)

     -C <num>
      The size of the cache (a prime number), 0 for full cache and
      -1 to turn it off.
      (default: 250007)

     -E <num>
      The Exponent to use.
      (default: 1.0)

     -L
      Use lower-order terms.
      (default: no)

Version:
  $Revision: 1.8 $
Author:
  Eibe Frank (eibe@cs.waikato.ac.nz)
See Also:
  Serialized Form

Constructor Summary
`NormalizedPolyKernel()` default constructor - does nothing
`NormalizedPolyKernel(Instances dataset, int cacheSize, double exponent, boolean lowerOrder)` Creates a new `NormalizedPolyKernel` instance.

Method Summary
`double` | `eval(int id1, int id2, Instance inst1)` Computes the result of the kernel function for two instances.
`java.lang.String` | `getRevision()` Returns the revision string.
`java.lang.String` | `globalInfo()` Returns a string describing the kernel
`void` | `setExponent(double value)` Sets the exponent value (must be different from 1.0).
`java.lang.String` | `toString()` returns a string representation for the Kernel

Methods inherited from class weka.classifiers.functions.supportVector.PolyKernel
`exponentTipText, getCapabilities, getExponent, getOptions, getUseLowerOrder, listOptions, setOptions, setUseLowerOrder, useLowerOrderTipText`

Methods inherited from class weka.classifiers.functions.supportVector.CachedKernel
`buildKernel, cacheSizeTipText, clean, getCacheSize, numCacheHits, numEvals, setCacheSize`

Methods inherited from class weka.classifiers.functions.supportVector.Kernel
`checksTurnedOffTipText, debugTipText, forName, getChecksTurnedOff, getDebug, makeCopies, makeCopy, setChecksTurnedOff, setDebug`

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

Constructor Detail

### NormalizedPolyKernel

    public NormalizedPolyKernel()

  default constructor - does nothing

### NormalizedPolyKernel

    public NormalizedPolyKernel(Instances dataset,
                                int cacheSize,
                                double exponent,
                                boolean lowerOrder)
                         throws java.lang.Exception

  Creates a new `NormalizedPolyKernel` instance.

  Parameters:
    `dataset` - the training dataset used.
    `cacheSize` - the size of the cache (a prime number)
    `exponent` - the exponent to use
    `lowerOrder` - whether to use lower-order terms
  Throws:
    `java.lang.Exception` - if something goes wrong

Method Detail

### globalInfo

    public java.lang.String globalInfo()

  Returns a string describing the kernel

  Overrides:
    `globalInfo` in class `PolyKernel`
  Returns:
    a description suitable for displaying in the explorer/experimenter gui

### eval

    public double eval(int id1,
                       int id2,
                       Instance inst1)
                throws java.lang.Exception

  Computes the result of the kernel function for two instances. If id1 == -1, eval use inst1 instead of an instance in the dataset. Redefines the eval function of PolyKernel.

  Overrides:
    `eval` in class `CachedKernel`
  Parameters:
    `id1` - the index of the first instance in the dataset
    `id2` - the index of the second instance in the dataset
    `inst1` - the instance corresponding to id1 (used if id1 == -1)
  Returns:
    the result of the kernel function
  Throws:
    `java.lang.Exception` - if something goes wrong

### setExponent

    public void setExponent(double value)

  Sets the exponent value (must be different from 1.0).

  Overrides:
    `setExponent` in class `PolyKernel`
  Parameters:
    `value` - the exponent value

### toString

    public java.lang.String toString()

  returns a string representation for the Kernel

  Overrides:
    `toString` in class `PolyKernel`
  Returns:
    a string representaiton of the kernel

### getRevision

    public java.lang.String getRevision()

  Returns the revision string.

  Specified by:
    `getRevision` in interface `RevisionHandler`
  Overrides:
    `getRevision` in class `PolyKernel`
  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