de.jstacs.classifier.scoringFunctionBased.logPrior
Class DoesNothingLogPrior

java.lang.Object
  de.jstacs.algorithms.optimization.DifferentiableFunction
      de.jstacs.classifier.scoringFunctionBased.logPrior.LogPrior
          de.jstacs.classifier.scoringFunctionBased.logPrior.DoesNothingLogPrior

All Implemented Interfaces:

Function, Storable

public class DoesNothingLogPrior
extends LogPrior

This class defines a LogPrior that does not penalize any parameter.

Author:

Jens Keilwagen

Field Summary

static DoesNothingLogPrior

defaultInstance As this prior does not penalize parameters and does not have any parameters itself, this class does not have a constructor, but provides a default instance in order to reduce memory consumption.

Fields inherited from class de.jstacs.classifier.scoringFunctionBased.logPrior.LogPrior

UNKNOWN

Method Summary

void	addGradientFor(double[] params, double[] grad) Adds the gradient of the log-prior using the current parameters to a given vector.
double	evaluateFunction(double[] params) Evaluates the function at a certain vector (in mathematical sense) x
int	getDimensionOfScope() Returns the dimension of the scope of the function.
String	getInstanceName() Returns a short instance name.
LogPrior	getNewInstance() This method returns an empty new instance of the current prior.
StringBuffer	toXML() Deprecated.

Methods inherited from class de.jstacs.classifier.scoringFunctionBased.logPrior.LogPrior

evaluateGradientOfFunction, set

Methods inherited from class de.jstacs.algorithms.optimization.DifferentiableFunction

findOneDimensionalMin

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

defaultInstance

public static final DoesNothingLogPrior defaultInstance

As this prior does not penalize parameters and does not have any parameters itself, this class does not have a constructor, but provides a default instance in order to reduce memory consumption.

Method Detail

evaluateFunction

public double evaluateFunction(double[] params)

Description copied from interface: Function

Evaluates the function at a certain vector (in mathematical sense) x

Parameters:

params - the current vector

Returns:

the elvaluation of the function

addGradientFor

public void addGradientFor(double[] params,
                           double[] grad)

Description copied from class: LogPrior

Adds the gradient of the log-prior using the current parameters to a given vector.

Specified by:

addGradientFor in class LogPrior

Parameters:

params - the parameters

grad - the vector

getDimensionOfScope

public int getDimensionOfScope()

Description copied from interface: Function

Returns the dimension of the scope of the function.

Returns:

dimension of the scope; n, with f: R^n -> R

getNewInstance

public LogPrior getNewInstance()
                        throws CloneNotSupportedException

Description copied from class: LogPrior

This method returns an empty new instance of the current prior. The method works similar to clone, but does not clone ScoringFunctions that may be inside the instance. The ScoringFunctions must be set by an invocation of the method LogPrior.set(boolean, ScoringFunction...).

Specified by:

getNewInstance in class LogPrior

Returns:

a new empty instance of the prior

Throws:

CloneNotSupportedException

See Also:

LogPrior.set(boolean, ScoringFunction[])

toXML

public StringBuffer toXML()
                   throws RuntimeException

Deprecated.

Description copied from class: LogPrior

Encodes the prior as an XML-representation. It does not encode all information, since the method set has to be invoked after decoding.

Specified by:

toXML in interface Storable

Specified by:

toXML in class LogPrior

Returns:

the XML-representation;

Throws:

RuntimeException

getInstanceName

public String getInstanceName()

Description copied from class: LogPrior

Returns a short instance name.

Specified by:

getInstanceName in class LogPrior

Returns:

a short instance name