Package org.aksw.limes.core.ml.algorithm

Class MLResults

java.lang.Object

org.aksw.limes.core.ml.algorithm.MLResults

public class MLResults
extends Object

Wraps around results of a ML algorithm.

Author:

Klaus Lyko (lyko@informatik.uni-leipzig.de)

Field Summary

Fields

Modifier and Type	Field	Description
protected List<SimpleClassifier>	classifiers
protected Map<String,Object>	details
protected LinkSpecification	linkspec
protected AMapping	mapping
protected double	quality

Constructor Summary

Constructors

Constructor	Description
MLResults()	MLResults constructor.
MLResults(LinkSpecification linkspec, AMapping mapping, double quality, Map<String,Object> details)	MLResults full constructor.

Method Summary

Modifier and Type	Method	Description
void	addDetail(String key, Object value)	Add additional computation detail.
boolean	classifiersSet()	Some ML algorithms such as Euclid don't produce LS but Mapping build by so called classifiers.
List<SimpleClassifier>	getClassifiers()
Map<String,Object>	getDetails()
LinkSpecification	getLinkSpecification()
AMapping	getMapping()
double	getQuality()
void	setClassifiers(List<SimpleClassifier> classifiers)
void	setLinkSpecification(LinkSpecification spec)
void	setMapping(AMapping mapping)
void	setQuality(double quality)
String	toString()

Methods inherited from class java.lang.Object

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

Field Detail

linkspec

protected LinkSpecification linkspec

mapping

protected AMapping mapping

quality

protected double quality

details

protected Map<String,Object> details

classifiers

protected List<SimpleClassifier> classifiers

Constructor Detail

MLResults

public MLResults()

MLResults constructor.

MLResults

public MLResults(LinkSpecification linkspec,
                 AMapping mapping,
                 double quality,
                 Map<String,Object> details)

MLResults full constructor.

Parameters:

linkspec - the link specification

mapping - the mapping

quality - the value of quality measure

details - additional computation details

Method Detail

toString

public String toString()

Overrides:

toString in class Object

getLinkSpecification

public LinkSpecification getLinkSpecification()

Returns:

the link specification

setLinkSpecification

public void setLinkSpecification(LinkSpecification spec)

Parameters:

spec - the link specification

getMapping

public AMapping getMapping()

Returns:

the mapping

setMapping

public void setMapping(AMapping mapping)

Parameters:

mapping - the mapping

getQuality

public double getQuality()

Returns:

the value of quality measure

setQuality

public void setQuality(double quality)

Parameters:

quality - the value of quality measure

addDetail

public void addDetail(String key,
                      Object value)

Add additional computation detail.

Parameters:

key - computation detail name

value - computation detail value

getDetails

public Map<String,Object> getDetails()

Returns:

the additional computation details

getClassifiers

public List<SimpleClassifier> getClassifiers()

setClassifiers

public void setClassifiers(List<SimpleClassifier> classifiers)

classifiersSet

public boolean classifiersSet()

Some ML algorithms such as Euclid don't produce LS but Mapping build by so called classifiers. This method checks whether this (also) holds those.

Returns: