meka.experiment.evaluationstatistics

Class EvaluationStatistics

java.lang.Object

java.util.AbstractMap<K,V>

java.util.HashMap<String,Number>

meka.experiment.evaluationstatistics.EvaluationStatistics

All Implemented Interfaces:

Serializable, Cloneable, Map<String,Number>

public class EvaluationStatistics
extends HashMap<String,Number>

Stores evaluation statistics.

Version:

$Revision$

Author:

FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class java.util.AbstractMap

AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>

Nested classes/interfaces inherited from interface java.util.Map

Map.Entry<K,V>

Field Summary

Fields

Modifier and Type	Field and Description
static String	KEY_CLASSIFIER the key for the classifier.
static String	KEY_RELATION the key for the relation.
protected MultiLabelClassifier	m_Classifier the classifier.
protected String	m_CommandLine the classifier commandline.
protected String	m_Relation the relation name.

Constructor Summary

Constructors

Constructor and Description
EvaluationStatistics() Default constructor.
EvaluationStatistics(MultiLabelClassifier classifier, weka.core.Instances dataset, Result result) Extracts the statistics from the Result object.
EvaluationStatistics(MultiLabelClassifier classifier, String relation, Result result) Extracts the statistics from the Result object.

Method Summary

Modifier and Type	Method and Description
MultiLabelClassifier	getClassifier() Returns the classifier for these statistics.
String	getCommandLine() Returns the commandline of the classifier for these statistics.
String	getRelation() Returns the relation for these statistics.
String	toString() Returns the statistics as string.

Methods inherited from class java.util.HashMap

clear, clone, compute, computeIfAbsent, computeIfPresent, containsKey, containsValue, entrySet, forEach, get, getOrDefault, isEmpty, keySet, merge, put, putAll, putIfAbsent, remove, remove, replace, replace, replaceAll, size, values

Methods inherited from class java.util.AbstractMap

equals, hashCode

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.util.Map

equals, hashCode

Field Detail

KEY_CLASSIFIER

public static final String KEY_CLASSIFIER

the key for the classifier.

See Also:

Constant Field Values

KEY_RELATION

public static final String KEY_RELATION

the key for the relation.

See Also:

Constant Field Values

m_Classifier

protected MultiLabelClassifier m_Classifier

the classifier.

m_CommandLine

protected String m_CommandLine

the classifier commandline.

m_Relation

protected String m_Relation

the relation name.

Constructor Detail

EvaluationStatistics

public EvaluationStatistics()

Default constructor.

EvaluationStatistics

public EvaluationStatistics(MultiLabelClassifier classifier,
                            weka.core.Instances dataset,
                            Result result)

Extracts the statistics from the Result object.

Parameters:

classifier - the classifier

dataset - the dataset

result - the evaluation

EvaluationStatistics

public EvaluationStatistics(MultiLabelClassifier classifier,
                            String relation,
                            Result result)

Extracts the statistics from the Result object.

Parameters:

classifier - the classifier

relation - the relation

result - the evaluation

Method Detail

getClassifier

public MultiLabelClassifier getClassifier()

Returns the classifier for these statistics.

Returns:

the classifier, null if not set

getCommandLine

public String getCommandLine()

Returns the commandline of the classifier for these statistics.

Returns:

the classifier commandline, null if not set

getRelation

public String getRelation()

Returns the relation for these statistics.

Returns:

the relation, null if not set

toString

public String toString()

Returns the statistics as string.

Overrides:

toString in class AbstractMap<String,Number>

Returns:

the statistics