Package ciir.umass.edu.learning.boosting

Class AdaRank

java.lang.Object

ciir.umass.edu.learning.Ranker

ciir.umass.edu.learning.boosting.AdaRank

public class AdaRank
extends Ranker

Author:

vdang This class implements the AdaRank algorithm. Here's the paper: J. Xu and H. Li. AdaRank: a boosting algorithm for information retrieval. In Proc. of SIGIR, pages 391-398, 2007.

Field Summary

Fields

Modifier and Type	Field	Description
protected double[]	backupSampleWeight
protected double	backupTrainScore
protected java.util.List<WeakRanker>	bestModelRankers
protected java.util.List<java.lang.Double>	bestModelWeights
protected double	lastTrainedScore
static int	maxSelCount
static int	nIteration
protected java.util.List<WeakRanker>	rankers
protected java.util.List<java.lang.Double>	rweight
protected double[]	sweight
static double	tolerance
static boolean	trainWithEnqueue
protected java.util.HashMap<java.lang.Integer,java.lang.Integer>	usedFeatures

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

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

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method	Description
Ranker	createNew()
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()
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, 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

nIteration

public static int nIteration

tolerance

public static double tolerance

trainWithEnqueue

public static boolean trainWithEnqueue

maxSelCount

public static int maxSelCount

usedFeatures

protected java.util.HashMap<java.lang.Integer,java.lang.Integer> usedFeatures

sweight

protected double[] sweight

rankers

protected java.util.List<WeakRanker> rankers

rweight

protected java.util.List<java.lang.Double> rweight

bestModelRankers

protected java.util.List<WeakRanker> bestModelRankers

bestModelWeights

protected java.util.List<java.lang.Double> bestModelWeights

backupSampleWeight

protected double[] backupSampleWeight

backupTrainScore

protected double backupTrainScore

lastTrainedScore

protected double lastTrainedScore

Constructor Detail

AdaRank

public AdaRank()

AdaRank

public AdaRank(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

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