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Class sim.errFun.Batch 

java.lang.Object
   |
   +----sim.errFun.ErrFun
           |
           +----sim.errFun.Batch
public class Batch
extends ErrFun
Combine N calls to an error function into a single error number. This allows something like epoch-wise batch learning on infinite training sets.

This code is (c) 1997 Leemon Baird <harmonme@aa.wpafb.af.mil>, http://www.cs.cmu.edu/~baird
The source and object code may be redistributed freely provided no fee is charged. If the code is modified, please state so in the comments.

Version:
1.03, 11 August 97
Author:
Leemon Baird

Constructor Index

o Batch()

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 dInput vector
o findGradient()
update the gradient vector based on the current fInput vector.
o getGradient()
The gradient of f(x) with respect to x (a column vector)
o getInput()
The input x sent to the function f(x) (a column vector)
o initialize(int)
Initialize, either partially or completely.
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 Batch 
 public Batch()

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 dInput vector

Overrides:
evaluate in class ErrFun
o findGradient 
 public void findGradient()
update the gradient vector based on the current fInput vector. Assumes that evaluate() was already called on this vector.

Overrides:
findGradient in class ErrFun
o getGradient 
 public Matrix getGradient()
The gradient of f(x) with respect to x (a column vector)

Overrides:
getGradient in class ErrFun
o getInput 
 public Matrix getInput()
The input x sent to the function f(x) (a column vector)

Overrides:
getInput in class ErrFun
o initialize 
 public void initialize(int level)
Initialize, either partially or completely.

Overrides:
initialize in class ErrFun
See Also:
initialize 
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