edu.stanford.nlp.stats

Class MultiClassAccuracyStats<L>

java.lang.Object

edu.stanford.nlp.stats.MultiClassAccuracyStats<L>

All Implemented Interfaces:

Scorer<L>

public class MultiClassAccuracyStats<L>
extends java.lang.Object
implements Scorer<L>

Author:

Jenny Finkel

Field Summary

Fields

Modifier and Type	Field and Description
static int	USE_ACCURACY
static int	USE_LOGLIKELIHOOD

Constructor Summary

Constructors

Constructor and Description
MultiClassAccuracyStats()
MultiClassAccuracyStats(int scoreType)
MultiClassAccuracyStats(ProbabilisticClassifier<L,F> classifier, GeneralDataset<L,F> data, java.lang.String file)
MultiClassAccuracyStats(ProbabilisticClassifier<L,F> classifier, GeneralDataset<L,F> data, java.lang.String file, int scoreType)
MultiClassAccuracyStats(java.lang.String file)
MultiClassAccuracyStats(java.lang.String file, int scoreType)

Method Summary

Modifier and Type	Method and Description
double	confidenceWeightedAccuracy()
int[]	getAccCoverage()
java.lang.String	getDescription(int numDigits)
<F> void	initMC(ProbabilisticClassifier<L,F> classifier, GeneralDataset<L,F> data)
int	numCorrect(int recall) how many correct do we have if we return the most confident num recall ones
int	numSamples()
double	score()
<F> double	score(ProbabilisticClassifier<L,F> classifier, GeneralDataset<L,F> data)
java.lang.String	toString()

Methods inherited from class java.lang.Object

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

Field Detail

USE_ACCURACY

public static final int USE_ACCURACY

See Also:

Constant Field Values

USE_LOGLIKELIHOOD

public static final int USE_LOGLIKELIHOOD

See Also:

Constant Field Values

Constructor Detail

MultiClassAccuracyStats

public MultiClassAccuracyStats()

MultiClassAccuracyStats

public MultiClassAccuracyStats(int scoreType)

MultiClassAccuracyStats

public MultiClassAccuracyStats(java.lang.String file)

MultiClassAccuracyStats

public MultiClassAccuracyStats(java.lang.String file,
                               int scoreType)

MultiClassAccuracyStats

public MultiClassAccuracyStats(ProbabilisticClassifier<L,F> classifier,
                               GeneralDataset<L,F> data,
                               java.lang.String file)

MultiClassAccuracyStats

public MultiClassAccuracyStats(ProbabilisticClassifier<L,F> classifier,
                               GeneralDataset<L,F> data,
                               java.lang.String file,
                               int scoreType)

Method Detail

score

public <F> double score(ProbabilisticClassifier<L,F> classifier,
                        GeneralDataset<L,F> data)

Specified by:

score in interface Scorer<L>

score

public double score()

numSamples

public int numSamples()

confidenceWeightedAccuracy

public double confidenceWeightedAccuracy()

initMC

public <F> void initMC(ProbabilisticClassifier<L,F> classifier,
                       GeneralDataset<L,F> data)

numCorrect

public int numCorrect(int recall)

how many correct do we have if we return the most confident num recall ones

getAccCoverage

public int[] getAccCoverage()

getDescription

public java.lang.String getDescription(int numDigits)

Specified by:

getDescription in interface Scorer<L>

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object