| weka.classifiers.functions.supportVector.PolyKernel
 weka.classifiers.mi.supportVector.MIPolyKernel
| MIPolyKernel | | public class MIPolyKernel extends PolyKernel implements MultiInstanceCapabilitiesHandler(Code) | |
The polynomial kernel : K(x, y) = <x, y>^p or K(x, y) = (<x, y>+1)^p
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).
(default: 250007)
-E <num>
The Exponent to use.
(default: 1.0)
-L
Use lower-order terms.
(default: no)
author:
Eibe Frank (eibe@cs.waikato.ac.nz)
author:
Shane Legg (shane@intelligenesis.net) (sparse vector code)
author:
Stuart Inglis (stuart@reeltwo.com) (sparse vector code)
author:
Lin Dong (ld21@cs.waikato.ac.nz) (MIkernel)
version:
$Revision: 1.2 $ |
| Constructor Summary | |
| public | MIPolyKernel()
default constructor - does nothing. | | public | MIPolyKernel(Instances data, int cacheSize, double exponent, boolean lowerOrder)
Creates a new MIPolyKernel instance. |
| MIPolyKernel | | public MIPolyKernel()(Code) | | default constructor - does nothing.
|
| MIPolyKernel | | public MIPolyKernel(Instances data, int cacheSize, double exponent, boolean lowerOrder) throws Exception(Code) | | Creates a new MIPolyKernel instance.
Parameters:
data - the training dataset used.
Parameters:
cacheSize - the size of the cache (a prime number)
Parameters:
exponent - the exponent to use
Parameters:
lowerOrder - whether to use lower-order terms
throws:
Exception - if something goes wrong |
| evaluate | | protected double evaluate(int id1, int id2, Instance inst1) throws Exception(Code) | |
Parameters:
id1 - the index of instance 1
Parameters:
id2 - the index of instance 2
Parameters:
inst1 - the instance 1 object the dot product
throws:
Exception - if something goes wrong |
| getCapabilities | | public Capabilities getCapabilities()(Code) | | Returns the Capabilities of this kernel.
the capabilities of this object
See Also: Capabilities |
| getMultiInstanceCapabilities | | public Capabilities getMultiInstanceCapabilities()(Code) | | Returns the capabilities of this multi-instance kernel for the
relational data.
the capabilities of this object
See Also: Capabilities |
| Fields inherited from weka.classifiers.functions.supportVector.PolyKernel | protected double m_exponent(Code)(Java Doc)
protected boolean m_lowerOrder(Code)(Java Doc)
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