Package adaa.analytics.rules.logic.induction

Class RegressionExpertFinder

java.lang.Object

adaa.analytics.rules.logic.induction.AbstractFinder

adaa.analytics.rules.logic.induction.RegressionFinder

adaa.analytics.rules.logic.induction.RegressionExpertFinder

All Implemented Interfaces:

IExpertFinder, AutoCloseable

Direct Known Subclasses:

SurvivalLogRankExpertFinder

public class RegressionExpertFinder
extends RegressionFinder
implements IExpertFinder

Class for growing and pruning regression rules with user's knowledge.

Field Summary

Fields

Modifier and Type	Field	Description
protected Knowledge	knowledge

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

attributeValuesOrder, modifier, params, pool, threadCount

Constructor Summary

Constructors

Constructor	Description
RegressionExpertFinder(InductionParameters params)

Method Summary

Modifier and Type	Method	Description
void	adjust(Rule rule, IExampleSet dataset, Set<Integer> uncovered)
protected boolean	checkCandidate(IExampleSet dataset, Rule rule, ConditionBase candidate, Set<Integer> uncovered, Set<Integer> covered, ConditionEvaluation currentBest)
int	grow(Rule rule, IExampleSet dataset, Set<Integer> uncovered)	Adds elementary conditions to the rule premise until termination conditions are fulfilled.
void	setKnowledge(Knowledge knowledge)

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

checkCandidate, induceCondition, induceCondition_mean

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

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

Methods inherited from class java.lang.Object

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

Field Details

knowledge

protected Knowledge knowledge

Constructor Details

RegressionExpertFinder

public RegressionExpertFinder(InductionParameters params)

Method Details

setKnowledge

public void setKnowledge(Knowledge knowledge)

adjust

public void adjust(Rule rule,
 IExampleSet dataset,
 Set<Integer> uncovered)

Specified by:

adjust in interface IExpertFinder

grow

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

Description copied from class: AbstractFinder

Adds elementary conditions to the rule premise until termination conditions are fulfilled.

Overrides:

grow in class AbstractFinder

Parameters:

rule - Rule to be grown.

dataset - Training set.

uncovered - Collection of examples yet uncovered by the model (positive examples in the classification problems).

Returns:

Number of conditions added.

checkCandidate

protected boolean checkCandidate(IExampleSet dataset,
 Rule rule,
 ConditionBase candidate,
 Set<Integer> uncovered,
 Set<Integer> covered,
 ConditionEvaluation currentBest)

Overrides:

checkCandidate in class RegressionFinder