Interface HardSoftBigDecimalScoreHolder
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- All Superinterfaces:
ScoreHolder<HardSoftBigDecimalScore>
- All Known Implementing Classes:
HardSoftBigDecimalScoreHolderImpl
public interface HardSoftBigDecimalScoreHolder extends ScoreHolder<HardSoftBigDecimalScore>
- See Also:
HardSoftBigDecimalScore
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Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description voidaddHardConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal hardWeight)voidaddMultiConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal hardWeight, BigDecimal softWeight)voidaddSoftConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal softWeight)voidimpactScore(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal weightMultiplier)voidpenalize(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal weightMultiplier)Penalize a match by theConstraintWeightnegated and multiplied with the weightMultiplier for all score levels.voidpenalize(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal hardWeightMultiplier, BigDecimal softWeightMultiplier)Penalize a match by theConstraintWeightnegated and multiplied with the specific weightMultiplier per score level.voidreward(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal weightMultiplier)Reward a match by theConstraintWeightmultiplied with the weightMultiplier for all score levels.voidreward(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal hardWeightMultiplier, BigDecimal softWeightMultiplier)Reward a match by theConstraintWeightmultiplied with the specific weightMultiplier per score level.-
Methods inherited from interface org.optaplanner.core.api.score.holder.ScoreHolder
penalize, reward
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Method Detail
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penalize
void penalize(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal weightMultiplier)Penalize a match by theConstraintWeightnegated and multiplied with the weightMultiplier for all score levels.- Parameters:
kcontext- never null, the magic variable in DRLweightMultiplier- at least 0
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penalize
void penalize(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal hardWeightMultiplier, BigDecimal softWeightMultiplier)Penalize a match by theConstraintWeightnegated and multiplied with the specific weightMultiplier per score level. Slower thanpenalize(RuleContext, BigDecimal).- Parameters:
kcontext- never null, the magic variable in DRLhardWeightMultiplier- at least 0softWeightMultiplier- at least 0
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reward
void reward(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal weightMultiplier)Reward a match by theConstraintWeightmultiplied with the weightMultiplier for all score levels.- Parameters:
kcontext- never null, the magic variable in DRLweightMultiplier- at least 0
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reward
void reward(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal hardWeightMultiplier, BigDecimal softWeightMultiplier)Reward a match by theConstraintWeightmultiplied with the specific weightMultiplier per score level. Slower thanreward(RuleContext, BigDecimal).- Parameters:
kcontext- never null, the magic variable in DRLhardWeightMultiplier- at least 0softWeightMultiplier- at least 0
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impactScore
void impactScore(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal weightMultiplier)
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addHardConstraintMatch
void addHardConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal hardWeight)- Parameters:
kcontext- never null, the magic variable in DRLhardWeight- never null, higher is better, negative for a penalty, positive for a reward
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addSoftConstraintMatch
void addSoftConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal softWeight)- Parameters:
kcontext- never null, the magic variable in DRLsoftWeight- never null, higher is better, negative for a penalty, positive for a reward
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addMultiConstraintMatch
void addMultiConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal hardWeight, BigDecimal softWeight)- Parameters:
kcontext- never null, the magic variable in DRLhardWeight- never null, higher is better, negative for a penalty, positive for a rewardsoftWeight- never null, higher is better, negative for a penalty, positive for a reward
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