edu.stanford.nlp.ie.crf

Class CRFLogConditionalObjectiveFloatFunction

java.lang.Object

edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction

edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction

All Implemented Interfaces:

HasCliquePotentialFunction, DiffFloatFunction, FloatFunction, HasFloatInitial

public class CRFLogConditionalObjectiveFloatFunction
extends AbstractCachingDiffFloatFunction
implements HasCliquePotentialFunction

Author:

Jenny Finkel

Field Summary

Fields

Modifier and Type	Field and Description
protected float	epsilon
static int	HUBER_PRIOR
static int	NO_PRIOR
protected int	prior
static int	QUADRATIC_PRIOR
static int	QUARTIC_PRIOR
protected float	sigma
static boolean	VERBOSE

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

derivative, value

Method Summary

Modifier and Type	Method and Description
void	calculate(float[] x) Calculate the value at x and the derivative and save them in the respective fields
void	calculateWeird1(float[] x)
int	domainDimension() Returns the number of dimensions in the function's domain
float[][]	empty2D()
static FloatFactorTable[]	getCalibratedCliqueTree(float[][] weights, int[][][] data, java.util.List<Index<CRFLabel>> labelIndices, int numClasses)
CliquePotentialFunction	getCliquePotentialFunction(double[] x)
static FloatFactorTable	getFloatFactorTable(float[][] weights, int[][] data, java.util.List<Index<CRFLabel>> labelIndices, int numClasses)
float[]	to1D(float[][] weights)
float[][]	to2D(float[] weights)

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

copy, derivativeAt, initial, valueAt

Methods inherited from class java.lang.Object

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

Field Detail

NO_PRIOR

public static final int NO_PRIOR

See Also:

Constant Field Values

QUADRATIC_PRIOR

public static final int QUADRATIC_PRIOR

See Also:

Constant Field Values

HUBER_PRIOR

public static final int HUBER_PRIOR

See Also:

Constant Field Values

QUARTIC_PRIOR

public static final int QUARTIC_PRIOR

See Also:

Constant Field Values

prior

protected int prior

sigma

protected float sigma

epsilon

protected float epsilon

VERBOSE

public static boolean VERBOSE

Method Detail

domainDimension

public int domainDimension()

Description copied from interface: FloatFunction

Returns the number of dimensions in the function's domain

Specified by:

domainDimension in interface FloatFunction

Specified by:

domainDimension in class AbstractCachingDiffFloatFunction

Returns:

the number of domain dimensions

getCliquePotentialFunction

public CliquePotentialFunction getCliquePotentialFunction(double[] x)

Specified by:

getCliquePotentialFunction in interface HasCliquePotentialFunction

to2D

public float[][] to2D(float[] weights)

to1D

public float[] to1D(float[][] weights)

empty2D

public float[][] empty2D()

getFloatFactorTable

public static FloatFactorTable getFloatFactorTable(float[][] weights,
                                                   int[][] data,
                                                   java.util.List<Index<CRFLabel>> labelIndices,
                                                   int numClasses)

getCalibratedCliqueTree

public static FloatFactorTable[] getCalibratedCliqueTree(float[][] weights,
                                                         int[][][] data,
                                                         java.util.List<Index<CRFLabel>> labelIndices,
                                                         int numClasses)

calculate

public void calculate(float[] x)

Description copied from class: AbstractCachingDiffFloatFunction

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

Specified by:

calculate in class AbstractCachingDiffFloatFunction

calculateWeird1

public void calculateWeird1(float[] x)