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Class sim.errFun.ErrAvg
java.lang.Object
|
+----sim.errFun.ErrFun
|
+----sim.errFun.ErrAvg
- public class ErrAvg
- extends ErrFun
Average together the outputs of multiple error functions to form a single
error function. This allows gradient descent on several different
error functions simultaneously. This class assumes that all the individual
error functions have the same number of inputs (e.g. neural
networks with the same number of weights).
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:
- 1.02, 23 July 97
- Author:
- Leemon Baird
-
errFun
- each of the error functions to average
-
errFunGradient
- the gradient from each individual errFun
-
gradient
- the average of the gradients from all batchSize calls to errFun
-
weights
- the weights for each errFun
-
ErrAvg()
-
-
BNF(int)
- Return the BNF description of how to parse the parameters of this object.
-
evaluate(Random, boolean, boolean, boolean)
- return the scalar output for the current dInput vector
-
findGradient()
- update the gradient vector based on the current fInput vector.
-
getGradient()
- The gradient of f(x) with respect to x (a column vector)
-
getInput()
- The input x sent to the function f(x) (a column vector)
-
initialize(int)
- Initialize, either partially or completely.
-
parse(Parser, int)
- Parse the input file to get the parameters for this object.
-
setWatchManager(WatchManager, String)
- Register all variables with this WatchManager.
-
unparse(Unparser, int)
- Output a description of this object that can be parsed with parse().
errFun
protected ErrFun errFun[]
- each of the error functions to average
errFunGradient
protected MatrixD errFunGradient[]
- the gradient from each individual errFun
weights
protected MatrixD weights[]
- the weights for each errFun
gradient
protected MatrixD gradient
- the average of the gradients from all batchSize calls to errFun
ErrAvg
public ErrAvg()
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
BNF
public String BNF(int lang)
- Return the BNF description of how to parse the parameters of this object.
- Overrides:
- BNF in class ErrFun
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
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
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
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
getGradient
public MatrixD getGradient()
- The gradient of f(x) with respect to x (a column vector)
- Overrides:
- getGradient in class ErrFun
getInput
public MatrixD getInput()
- The input x sent to the function f(x) (a column vector)
- Overrides:
- getInput in class ErrFun
initialize
public void initialize(int level)
- Initialize, either partially or completely.
- Overrides:
- initialize in class ErrFun
- See Also:
- initialize
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