weka.classifiers.functions.supportVector
Class PolyKernel
java.lang.Object
weka.classifiers.functions.supportVector.Kernel
weka.classifiers.functions.supportVector.CachedKernel
weka.classifiers.functions.supportVector.PolyKernel
- All Implemented Interfaces:
- java.io.Serializable
- Direct Known Subclasses:
- NormalizedPolyKernel
public class PolyKernel
- extends CachedKernel
The polynomial kernel : K(x, y) = ^p or K(x, y) = ( +1)^p
- Version:
- $Revision: 1.1.2.2 $
- Author:
- Eibe Frank (eibe@cs.waikato.ac.nz), Shane Legg (shane@intelligenesis.net) (sparse vector code), Stuart Inglis (stuart@reeltwo.com) (sparse vector code)
- See Also:
- Serialized Form
Constructor Summary |
PolyKernel(Instances dataset,
int cacheSize,
double exponent,
boolean lowerOrder)
Creates a new PolyKernel instance. |
Methods inherited from class java.lang.Object |
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
PolyKernel
public PolyKernel(Instances dataset,
int cacheSize,
double exponent,
boolean lowerOrder)
- Creates a new
PolyKernel
instance.
- Parameters:
dataset
- the training dataset used.cacheSize
- the size of the cache (a prime number)