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Class sim.errFun.PDFE
java.lang.Object
|
+----sim.errFun.ErrFun
|
+----sim.errFun.PDFE
- public class PDFE
- extends ErrFun
Run the PDF Emulation algorithm to model an arbitrary PDF using an arbitrary function approximator.
and gradient-descent algorithm.
This code is (c) 1996,1997 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:
- 1.1, 21 July 97
- Author:
- Leemon Baird
-
PDFE()
-
-
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 weight vector x.
-
findGradient()
- update the fGradient vector based on the dEdOutput.
-
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().
PDFE
public PDFE()
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 weight vector x.
err=g(x-f(v)) + g(x-f(v')) - g(f(v)-f(v'))
- Overrides:
- evaluate in class ErrFun
findGradient
public void findGradient()
- update the fGradient vector based on the dEdOutput.
err=g(x-f(v)) + g(x-f(v')) - g(f(v)-f(v'))
return gradient of err wrt weights.
- Overrides:
- findGradient in class ErrFun
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