edu.stanford.nlp.classify

Class ShiftParamsLogisticObjectiveFunction

java.lang.Object

edu.stanford.nlp.optimization.AbstractCachingDiffFunction

edu.stanford.nlp.classify.ShiftParamsLogisticObjectiveFunction

All Implemented Interfaces:

DiffFunction, Function, HasInitial, HasRegularizerParamRange

public class ShiftParamsLogisticObjectiveFunction
extends AbstractCachingDiffFunction
implements HasRegularizerParamRange

Author:

jtibs

Field Summary

Fields inherited from class edu.stanford.nlp.optimization.AbstractCachingDiffFunction

derivative, value

Constructor Summary

Constructors

Constructor and Description
ShiftParamsLogisticObjectiveFunction(int[][] data, double[][] dataValues, int[][] labels, int numClasses, int numFeatures, int numL2Parameters, LogPrior prior)

Method Summary

Modifier and Type	Method and Description
protected void	calculate(double[] thetasArray) Calculate the value at x and the derivative and save them in the respective fields.
int	domainDimension() Returns the number of dimensions in the function's domain
java.util.Set<java.lang.Integer>	getRegularizerParamRange(double[] x)

Methods inherited from class edu.stanford.nlp.optimization.AbstractCachingDiffFunction

clearCache, copy, derivativeAt, ensure, getDerivative, gradientCheck, gradientCheck, initial, lastValue, randomInitial, valueAt

Methods inherited from class java.lang.Object

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

Constructor Detail

ShiftParamsLogisticObjectiveFunction

public ShiftParamsLogisticObjectiveFunction(int[][] data,
                                            double[][] dataValues,
                                            int[][] labels,
                                            int numClasses,
                                            int numFeatures,
                                            int numL2Parameters,
                                            LogPrior prior)

Method Detail

domainDimension

public int domainDimension()

Description copied from interface: Function

Returns the number of dimensions in the function's domain

Specified by:

domainDimension in interface Function

Returns:

the number of domain dimensions

calculate

protected void calculate(double[] thetasArray)

Description copied from class: AbstractCachingDiffFunction

Calculate the value at x and the derivative and save them in the respective fields.

Specified by:

calculate in class AbstractCachingDiffFunction

Parameters:

thetasArray - The point at which to calculate the function

getRegularizerParamRange

public java.util.Set<java.lang.Integer> getRegularizerParamRange(double[] x)

Specified by:

getRegularizerParamRange in interface HasRegularizerParamRange