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| Packages that use Rank | |
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| edu.washington.cs.knowitall.rule | |
| edu.washington.cs.knowitall.rule.confidence | |
| edu.washington.cs.knowitall.rule.learn | |
| Uses of Rank in edu.washington.cs.knowitall.rule |
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| Methods in edu.washington.cs.knowitall.rule that return types with arguments of type Rank | ||
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static
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Rank.confidenceEqualsPredicate(E conf)
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static
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Rank.toConfidenceFunction()
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static
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Rank.transform(Iterable<Rule> rules,
ConfidenceFunction<E> confidenceFunction)
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| Methods in edu.washington.cs.knowitall.rule with parameters of type Rank | |
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int |
Rank.compareTo(Rank<E> rank)
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| Method parameters in edu.washington.cs.knowitall.rule with type arguments of type Rank | ||
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static
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Rank.toRules(Iterable<Rank<E>> ranks)
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| Uses of Rank in edu.washington.cs.knowitall.rule.confidence |
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| Methods in edu.washington.cs.knowitall.rule.confidence that return Rank | |
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Rank<E> |
ConfidenceFunction.createRank(Rule rule)
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| Methods in edu.washington.cs.knowitall.rule.confidence that return types with arguments of type Rank | |
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Iterable<Rank<E>> |
ConfidenceFunction.reduce(Iterable<Rank<E>> ranks,
Map<Rule,Results> results)
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| Method parameters in edu.washington.cs.knowitall.rule.confidence with type arguments of type Rank | |
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Iterable<Rank<E>> |
ConfidenceFunction.reduce(Iterable<Rank<E>> ranks,
Map<Rule,Results> results)
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| Uses of Rank in edu.washington.cs.knowitall.rule.learn |
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| Methods in edu.washington.cs.knowitall.rule.learn that return types with arguments of type Rank | |
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List<Rank<E>> |
RuleLearner.filterBest(Iterable<Rank<E>> rules)
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List<Rank<E>> |
RuleLearner.filterBestRules(Collection<Rule> rules)
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List<Rank<E>> |
RuleLearner.learn(Annotation annotation)
Generalize rules from the base rule created from the supplied annotation. |
List<Rank<E>> |
RuleLearner.learn(Iterable<Annotation> annotations)
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abstract List<Rank<E>> |
RuleLearner.search(Rule rule)
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List<Rank<E>> |
BeamSearchRuleLearner.search(Rule base)
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List<Rank<E>> |
MostGeneralRuleLearner.search(Rule base)
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| Method parameters in edu.washington.cs.knowitall.rule.learn with type arguments of type Rank | |
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String |
BeamSearchRuleLearner.beamToString(Iterable<Rank<E>> beam)
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List<Rank<E>> |
RuleLearner.filterBest(Iterable<Rank<E>> rules)
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