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Class sim.errFun.SupervisedLearning 

java.lang.Object
   |
   +----sim.errFun.ErrFun
           |
           +----sim.errFun.SupervisedLearning
public class SupervisedLearning
extends ErrFun
Perform supervised learning with the given data, function approximator, and gradient-descent algorithm.

This code is (c) 1996 Leemon Baird <leemon@cs.cmu.edu>, http://www.cs.cmu.edu/~baird
The source and object code may be redistributed freely. If the code is modified, please state so in the comments.

Version:
1.09, 11 August 97
Author:
Leemon Baird, Mance Harmon

Constructor Index

o SupervisedLearning()

Method Index

o BNF(int)
Return the BNF description of how to parse the parameters of this object.
o evaluate(Random, boolean, boolean, boolean)
return the scalar output for the current weight vector x
o findGradient()
update the fGradient vector based on the dEdOutput
o parse(Parser, int)
Parse the input file to get the parameters for this object.
o setWatchManager(WatchManager, String)
Register all variables with this WatchManager.
o unparse(Unparser, int)
Output a description of this object that can be parsed with parse().

Constructors

o SupervisedLearning 
 public SupervisedLearning()

Methods

o setWatchManager 
 public void setWatchManager(WatchManager wm,
                             String name)
Register all variables with this WatchManager. This will be called after all parsing is done. setWatchManager should be overridden and forced to call the same method on all the other objects in the experiment.

Overrides:
setWatchManager in class ErrFun
o BNF 
 public String BNF(int lang)
Return the BNF description of how to parse the parameters of this object.

Overrides:
BNF in class ErrFun
o unparse 
 public void unparse(Unparser u,
                     int lang)
Output a description of this object that can be parsed with parse().

Overrides:
unparse in class ErrFun
See Also:
Parsable
o parse 
 public Object parse(Parser p,
                     int lang) throws ParserException
Parse the input file to get the parameters for this object.

Throws: ParserException
parser didn't find the required token
Overrides:
parse in class ErrFun
o evaluate 
 public double evaluate(Random rnd,
                        boolean willFindDeriv,
                        boolean willFindHess,
                        boolean rememberNoise)
return the scalar output for the current weight vector x

Overrides:
evaluate in class ErrFun
o findGradient 
 public void findGradient()
update the fGradient vector based on the dEdOutput

Overrides:
findGradient in class ErrFun 
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