org.dllearner.core.configurators
Class PosNegLPStrictConfigurator

java.lang.Object
  org.dllearner.core.configurators.PosNegLPStrictConfigurator

All Implemented Interfaces:

Configurator

public class PosNegLPStrictConfigurator
extends Object
implements Configurator

automatically generated, do not edit manually. run org.dllearner.scripts.ConfigJavaGenerator to update

Constructor Summary

PosNegLPStrictConfigurator(PosNegLPStrict posNegLPStrict)

Method Summary

double	getAccuracyPenalty() accuracyPenalty penalty for pos/neg examples which are classified as neutral.
double	getErrorPenalty() errorPenalty penalty for pos. examples classified as negative or vice versa.
Set<String>	getNegativeExamples() negativeExamples negative examples.
boolean	getPenaliseNeutralExamples() penaliseNeutralExamples if set to true neutral examples are penalised.
double	getPercentPerLenghtUnit() percentPerLenghtUnit describes the reduction in classification accuracy in percent one is willing to accept for reducing the length of the concept by one.
Set<String>	getPositiveExamples() positiveExamples positive examples.
static PosNegLPStrict	getPosNegLPStrict(AbstractReasonerComponent reasoningService, Set<String> positiveExamples, Set<String> negativeExamples)
String	getUseMultiInstanceChecks() useMultiInstanceChecks See UseMultiInstanceChecks enum. - NO LONGER FULLY SUPPORTED..
boolean	getUseRetrievalForClassficiation() useRetrievalForClassficiation Specifies whether to use retrieval or instance checks for testing a concept. - NO LONGER FULLY SUPPORTED..
boolean	isReinitNecessary() true, if this component needs reinitializsation.
void	setAccuracyPenalty(double accuracyPenalty)
void	setErrorPenalty(double errorPenalty)
void	setNegativeExamples(Set<String> negativeExamples)
void	setPenaliseNeutralExamples(boolean penaliseNeutralExamples)
void	setPercentPerLenghtUnit(double percentPerLenghtUnit)
void	setPositiveExamples(Set<String> positiveExamples)
void	setUseMultiInstanceChecks(String useMultiInstanceChecks)
void	setUseRetrievalForClassficiation(boolean useRetrievalForClassficiation)

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

PosNegLPStrictConfigurator

public PosNegLPStrictConfigurator(PosNegLPStrict posNegLPStrict)

Parameters:

posNegLPStrict - see PosNegLPStrict

Method Detail

getPosNegLPStrict

public static PosNegLPStrict getPosNegLPStrict(AbstractReasonerComponent reasoningService,
                                               Set<String> positiveExamples,
                                               Set<String> negativeExamples)

Parameters:

reasoningService - see reasoningService

positiveExamples - positive examples

negativeExamples - negative examples

Returns:

PosNegLPStrict

getPositiveExamples

public Set<String> getPositiveExamples()

positiveExamples positive examples. mandatory: true| reinit necessary: false default value: null

Returns:

Set(String)

getNegativeExamples

public Set<String> getNegativeExamples()

negativeExamples negative examples. mandatory: true| reinit necessary: false default value: null

Returns:

Set(String)

getUseRetrievalForClassficiation

public boolean getUseRetrievalForClassficiation()

useRetrievalForClassficiation Specifies whether to use retrieval or instance checks for testing a concept. - NO LONGER FULLY SUPPORTED.. mandatory: false| reinit necessary: true default value: false

Returns:

boolean

getPercentPerLenghtUnit

public double getPercentPerLenghtUnit()

percentPerLenghtUnit describes the reduction in classification accuracy in percent one is willing to accept for reducing the length of the concept by one. mandatory: false| reinit necessary: true default value: 0.05

Returns:

double

getUseMultiInstanceChecks

public String getUseMultiInstanceChecks()

useMultiInstanceChecks See UseMultiInstanceChecks enum. - NO LONGER FULLY SUPPORTED.. mandatory: false| reinit necessary: true default value: twoChecks

Returns:

String

getPenaliseNeutralExamples

public boolean getPenaliseNeutralExamples()

penaliseNeutralExamples if set to true neutral examples are penalised. mandatory: false| reinit necessary: true default value: null

Returns:

boolean

getAccuracyPenalty

public double getAccuracyPenalty()

accuracyPenalty penalty for pos/neg examples which are classified as neutral. mandatory: false| reinit necessary: true default value: 1.0

Returns:

double

getErrorPenalty

public double getErrorPenalty()

errorPenalty penalty for pos. examples classified as negative or vice versa. mandatory: false| reinit necessary: true default value: 3.0

Returns:

double

setPositiveExamples

public void setPositiveExamples(Set<String> positiveExamples)

Parameters:

positiveExamples - positive examples. mandatory: true| reinit necessary: false default value: null

setNegativeExamples

public void setNegativeExamples(Set<String> negativeExamples)

Parameters:

negativeExamples - negative examples. mandatory: true| reinit necessary: false default value: null

setUseRetrievalForClassficiation

public void setUseRetrievalForClassficiation(boolean useRetrievalForClassficiation)

Parameters:

useRetrievalForClassficiation - Specifies whether to use retrieval or instance checks for testing a concept. - NO LONGER FULLY SUPPORTED.. mandatory: false| reinit necessary: true default value: false

setPercentPerLenghtUnit

public void setPercentPerLenghtUnit(double percentPerLenghtUnit)

Parameters:

percentPerLenghtUnit - describes the reduction in classification accuracy in percent one is willing to accept for reducing the length of the concept by one. mandatory: false| reinit necessary: true default value: 0.05

setUseMultiInstanceChecks

public void setUseMultiInstanceChecks(String useMultiInstanceChecks)

Parameters:

useMultiInstanceChecks - See UseMultiInstanceChecks enum. - NO LONGER FULLY SUPPORTED.. mandatory: false| reinit necessary: true default value: twoChecks

setPenaliseNeutralExamples

public void setPenaliseNeutralExamples(boolean penaliseNeutralExamples)

Parameters:

penaliseNeutralExamples - if set to true neutral examples are penalised. mandatory: false| reinit necessary: true default value: null

setAccuracyPenalty

public void setAccuracyPenalty(double accuracyPenalty)

Parameters:

accuracyPenalty - penalty for pos/neg examples which are classified as neutral. mandatory: false| reinit necessary: true default value: 1.0

setErrorPenalty

public void setErrorPenalty(double errorPenalty)

Parameters:

errorPenalty - penalty for pos. examples classified as negative or vice versa. mandatory: false| reinit necessary: true default value: 3.0

isReinitNecessary

public boolean isReinitNecessary()

true, if this component needs reinitializsation.

Returns:

boolean