Package adaa.analytics.rules.logic.induction

Class ContrastRegressionFinder

java.lang.Object

adaa.analytics.rules.logic.induction.AbstractFinder

adaa.analytics.rules.logic.induction.RegressionFinder

adaa.analytics.rules.logic.induction.ContrastRegressionFinder

All Implemented Interfaces:

IPenalizedFinder, AutoCloseable

public class ContrastRegressionFinder
extends RegressionFinder
implements IPenalizedFinder

Field Summary

Fields inherited from class adaa.analytics.rules.logic.induction.AbstractFinder

attributeValuesOrder, modifier, params, pool, threadCount

Constructor Summary

Constructors

Constructor	Description
ContrastRegressionFinder(InductionParameters params)

Method Summary

Modifier and Type	Method	Description
AttributePenaltyCollection	getAttributePenalties()
int	grow(Rule rule, IExampleSet dataset, Set<Integer> uncovered)	Invokes grow method from the super class and verifies negative coverage requirement.
void	postprocess(Rule rule, IExampleSet dataset)	Postprocess a rule.

Methods inherited from class adaa.analytics.rules.logic.induction.RegressionFinder

checkCandidate, checkCandidate, induceCondition, induceCondition_mean

Methods inherited from class adaa.analytics.rules.logic.induction.AbstractFinder

addObserver, clearObservers, close, names2attributes, notifyConditionAdded, notifyConditionRemoved, notifyGrowingFinished, notifyGrowingStarted, notifyRuleReady, preprocess, prune

Methods inherited from class java.lang.Object

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

Constructor Details

ContrastRegressionFinder

public ContrastRegressionFinder(InductionParameters params)

Method Details

getAttributePenalties

public AttributePenaltyCollection getAttributePenalties()

Specified by:

getAttributePenalties in interface IPenalizedFinder

grow

public int grow(Rule rule,
 IExampleSet dataset,
 Set<Integer> uncovered)

Invokes grow method from the super class and verifies negative coverage requirement.

Overrides:

grow in class AbstractFinder

Parameters:

rule - Rule to be grown.

dataset - Training set.

uncovered - Set of positive examples yet uncovered by the model.

Returns:

Number of conditions added.

postprocess

public void postprocess(Rule rule,
 IExampleSet dataset)

Postprocess a rule.

Overrides:

postprocess in class AbstractFinder

Parameters:

rule - Rule to be postprocessed.

dataset - Training set.