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:
Serializable,CapabilitiesHandler,OptionHandler,RevisionHandler
The normalized polynomial kernel.
K(x,y) = <x,y>/sqrt(<x,x><y,y>) where <x,y> = PolyKernel(x,y) Valid options are:
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)
-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: 15562 $
- Author:
- Eibe Frank (eibe@cs.waikato.ac.nz)
- See Also:
-
Constructor Summary
ConstructorsConstructorDescriptiondefault constructor - does nothingNormalizedPolyKernel(Instances dataset, int cacheSize, double exponent, boolean lowerOrder) Creates a newNormalizedPolyKernelinstance. -
Method Summary
Modifier and TypeMethodDescriptionvoidbuildKernel(Instances data) builds the kernel with the given data.voidclean()Frees the cache used by the kernel.Returns the revision string.Returns a string describing the kerneltoString()returns a string representation for the KernelMethods inherited from class weka.classifiers.functions.supportVector.PolyKernel
exponentTipText, getCapabilities, getExponent, getOptions, getUseLowerOrder, listOptions, setExponent, setOptions, setUseLowerOrder, useLowerOrderTipTextMethods inherited from class weka.classifiers.functions.supportVector.CachedKernel
cacheSizeTipText, eval, getCacheSize, numCacheHits, numEvals, setCacheSizeMethods inherited from class weka.classifiers.functions.supportVector.Kernel
debugTipText, forName, getChecksTurnedOff, getDebug, getDoNotCheckCapabilities, makeCopies, makeCopy, setChecksTurnedOff, setDebug, setDoNotCheckCapabilities
-
Constructor Details
-
NormalizedPolyKernel
public NormalizedPolyKernel()default constructor - does nothing -
NormalizedPolyKernel
public NormalizedPolyKernel(Instances dataset, int cacheSize, double exponent, boolean lowerOrder) throws Exception Creates a newNormalizedPolyKernelinstance.- Parameters:
dataset- the training dataset used.cacheSize- the size of the cache (a prime number)exponent- the exponent to uselowerOrder- whether to use lower-order terms- Throws:
Exception- if something goes wrong
-
-
Method Details
-
buildKernel
builds the kernel with the given data. Initializes the kernel cache. The actual size of the cache in bytes is (64 * cacheSize).- Overrides:
buildKernelin classCachedKernel- Parameters:
data- the data to base the kernel on- Throws:
Exception- if something goes wrong
-
clean
public void clean()Frees the cache used by the kernel.- Overrides:
cleanin classCachedKernel
-
globalInfo
Returns a string describing the kernel- Overrides:
globalInfoin classPolyKernel- Returns:
- a description suitable for displaying in the explorer/experimenter gui
-
toString
returns a string representation for the Kernel- Overrides:
toStringin classPolyKernel- Returns:
- a string representaiton of the kernel
-
getRevision
Returns the revision string.- Specified by:
getRevisionin interfaceRevisionHandler- Overrides:
getRevisionin classPolyKernel- Returns:
- the revision
-