public class HardSoftDoubleScoreHolder extends AbstractScoreHolder
HardSoftBigDecimalScoreHolder
instead.HardSoftDoubleScore
,
Serialized FormAbstractScoreHolder.BigDecimalConstraintUndoListener, AbstractScoreHolder.ConstraintUndoListener, AbstractScoreHolder.DoubleConstraintUndoListener, AbstractScoreHolder.IntConstraintUndoListener, AbstractScoreHolder.LongConstraintUndoListener
Modifier and Type | Field and Description |
---|---|
protected double |
hardScore |
protected double |
softScore |
constraintMatchEnabled, constraintMatchTotalMap
Constructor and Description |
---|
HardSoftDoubleScoreHolder(boolean constraintMatchEnabled) |
Modifier and Type | Method and Description |
---|---|
void |
addHardConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext,
double weight) |
void |
addSoftConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext,
double weight) |
Score |
extractScore(int initScore)
|
double |
getHardScore() |
double |
getSoftScore() |
getConstraintMatchTotals, isConstraintMatchEnabled, registerBigDecimalConstraintMatch, registerDoubleConstraintMatch, registerIntConstraintMatch, registerLongConstraintMatch
public HardSoftDoubleScoreHolder(boolean constraintMatchEnabled)
public double getHardScore()
public double getSoftScore()
public void addHardConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, double weight)
kcontext
- never null, the magic variable in DRLweight
- higher is better, negative for a penalty, positive for a rewardpublic void addSoftConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, double weight)
kcontext
- never null, the magic variable in DRLweight
- higher is better, negative for a penalty, positive for a rewardpublic Score extractScore(int initScore)
ScoreHolder
Score
, calculated by the KieSession
for DroolsScoreDirector
.
Should not be called directly, use ScoreDirector.calculateScore()
instead.
initScore
- <= 0
, managed by OptaPlanner, needed as a parameter in the Score
's creation
method, see Score.getInitScore()
Score
of the working PlanningSolution
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