classifiers
Class AlphaProb_SMO.BinarySMO

java.lang.Object
  |
  +--classifiers.AlphaProb_SMO.BinarySMO
All Implemented Interfaces:
java.io.Serializable
Enclosing class:
AlphaProb_SMO

public class AlphaProb_SMO.BinarySMO
extends java.lang.Object
implements java.io.Serializable

Class for building a binary support vector machine.

See Also:
Serialized Form

Field Summary
 double[] m_alpha
          The Lagrange multipliers.
 double[] m_errors
          The current set of errors for all non-bound examples.
 
Constructor Summary
AlphaProb_SMO.BinarySMO()
           
 
Method Summary
 java.lang.String toString()
          Prints out the classifier.
 
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
 

Field Detail

m_alpha

public double[] m_alpha
The Lagrange multipliers.


m_errors

public double[] m_errors
The current set of errors for all non-bound examples.

Constructor Detail

AlphaProb_SMO.BinarySMO

public AlphaProb_SMO.BinarySMO()
Method Detail

toString

public java.lang.String toString()
Prints out the classifier.

Overrides:
toString in class java.lang.Object
Returns:
a description of the classifier as a string


Copyright (c) 2003 David Lindsay, Computer Learning Research Centre, Dept. Computer Science, Royal Holloway, University of London