Package ciir.umass.edu.learning

Class CoorAscent

java.lang.Object

ciir.umass.edu.learning.Ranker

ciir.umass.edu.learning.CoorAscent

public class CoorAscent
extends Ranker

Author:

vdang This class implements the linear ranking model known as Coordinate Ascent. It was proposed in this paper: D. Metzler and W.B. Croft. Linear feature-based models for information retrieval. Information Retrieval, 10(3): 257-274, 2007.

Field Summary

Fields

Modifier and Type	Field	Description
protected int	current_feature
static int	nMaxIteration
static int	nRestart
static boolean	regularized
static double	slack
static double	stepBase
static double	stepScale
static double	tolerance
double[]	weight
protected double	weight_change

Fields inherited from class ciir.umass.edu.learning.Ranker

bestScoreOnValidationData, features, samples, scoreOnTrainingData, scorer, validationSamples, verbose

Constructor Summary

Constructors

Constructor	Description
CoorAscent()
CoorAscent(java.util.List<RankList> samples, int[] features, MetricScorer scorer)

Method Summary

Modifier and Type	Method	Description
void	copyModel(CoorAscent ranker)
Ranker	createNew()
double	distance(CoorAscent ca)
double	eval(DataPoint p)
void	init()	HAVE TO BE OVER-RIDDEN IN SUB-CLASSES
void	learn()
void	loadFromString(java.lang.String fullText)
java.lang.String	model()
java.lang.String	name()
void	printParameters()
RankList	rank(RankList rl)
java.lang.String	toString()

Methods inherited from class ciir.umass.edu.learning.Ranker

copy, getFeatures, getScoreOnTrainingData, getScoreOnValidationData, PRINT, PRINT, PRINT_MEMORY_USAGE, PRINTLN, PRINTLN, PRINTTIME, rank, save, setFeatures, setMetricScorer, setTrainingSet, setValidationSet

Methods inherited from class java.lang.Object

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

Field Detail

nRestart

public static int nRestart

nMaxIteration

public static int nMaxIteration

stepBase

public static double stepBase

stepScale

public static double stepScale

tolerance

public static double tolerance

regularized

public static boolean regularized

slack

public static double slack

weight

public double[] weight

current_feature

protected int current_feature

weight_change

protected double weight_change

Constructor Detail

CoorAscent

public CoorAscent()

CoorAscent

public CoorAscent(java.util.List<RankList> samples,
                  int[] features,
                  MetricScorer scorer)

Method Detail

init

public void init()

Description copied from class: Ranker

HAVE TO BE OVER-RIDDEN IN SUB-CLASSES

Specified by:

init in class Ranker

learn

public void learn()

Specified by:

learn in class Ranker

rank

public RankList rank(RankList rl)

Overrides:

rank in class Ranker

eval

public double eval(DataPoint p)

Overrides:

eval in class Ranker

createNew

public Ranker createNew()

Specified by:

createNew in class Ranker

toString

public java.lang.String toString()

Specified by:

toString in class Ranker

model

public java.lang.String model()

Specified by:

model in class Ranker

loadFromString

public void loadFromString(java.lang.String fullText)

Specified by:

loadFromString in class Ranker

printParameters

public void printParameters()

Specified by:

printParameters in class Ranker

name

public java.lang.String name()

Specified by:

name in class Ranker

copyModel

public void copyModel(CoorAscent ranker)

distance

public double distance(CoorAscent ca)