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Class sim.funApp.ValuePolicy

java.lang.Object
   |
   +----sim.funApp.FunApp
           |
           +----sim.funApp.ValuePolicy

public class ValuePolicy

extends FunApp

This code is (c) 1996,1997 Mance Harmon <harmonme@aa.wpafb.af.mil>, 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:

1.13 27 June 98

Author:

Mance Harmon

ValuePolicy()

clone()

Make an exact duplicate of this class.

cloneVars(FunApp)

After making a copy of self during a clone(), call cloneVars() to copy variables into the copy, then return super.cloneVars(copy).

evaluate()

calculate the output for the given input

getParameters(int)

Return a parameter array if BNF(), parse(), and unparse() are to be automated, null otherwise.

initialize(int)

Initialize, either partially or completely.

nWeights(int, int)

Return # weights needed for nIn inputs (including the first //this routine is never called, should throw null pointer exception one which is always 1.0), and nOut outputs.

setIO(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix)

Define the Matrix objects that will be used by evaluate(), findGradients(), and findHessian().

setWatchManager(WatchManager, String)

Register all variables with this WatchManager.

 public ValuePolicy()

 public Object[][] getParameters(int lang)

Return a parameter array if BNF(), parse(), and unparse() are to be automated, null otherwise.

Overrides:

getParameters in class FunApp

See Also:

getParameters

 public void setIO(Matrix inVect,
                   Matrix outVect,
                   Matrix weights,
                   Matrix dEdIn,
                   Matrix dEdOut,
                   Matrix dEdWeights,
                   Matrix dEdIndIn,
                   Matrix dEdOutdOut,
                   Matrix dEdWeightsdWeights) throws MatrixException

Define the Matrix objects that will be used by evaluate(), findGradients(), and findHessian(). First 6 should be column vectors (n by 1 matrices). The last 3 parameters can be null if the Hessian is never to be calculated. If a function approximator overrides this, it should first call super.setIO() for important housekeeping.

Throws: MatrixException

if inputs are vectors with nonmatching sizes

Overrides:

setIO in class FunApp

 public void evaluate()

calculate the output for the given input

Overrides:

evaluate in class FunApp

 public int nWeights(int nIn,
                     int nOut)

Return # weights needed for nIn inputs (including the first //this routine is never called, should throw null pointer exception one which is always 1.0), and nOut outputs.

Overrides:

nWeights in class FunApp

 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 FunApp

 public Object clone()

Make an exact duplicate of this class. For objects it contains, it only duplicates the pointers, not the objects they point to. For a new FunApp called MyFunApp, the code in this method should be the single line: return cloneVars(new MyFunApp());

Overrides:

clone in class FunApp

 public Object cloneVars(FunApp copy)

After making a copy of self during a clone(), call cloneVars() to copy variables into the copy, then return super.cloneVars(copy). The variables copied are just those set in parse() and setWatchManager(). The caller will be required to call setIO to set up the rest of the variables.

Overrides:

cloneVars in class FunApp

 public void initialize(int level)

Initialize, either partially or completely.

Overrides:

initialize in class FunApp

See Also:

initialize

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