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Change Parameter Type toMax : Function<CoreLabel,Integer> to toMax : ToIntFunction<CoreLabel> in method private getSpan(tokens List<CoreLabel>, toMin ToIntFunction<CoreLabel>, toMax ToIntFunction<CoreLabel>) : Pair<Integer,Integer> in class edu.stanford.nlp.ie.util.RelationTriple |
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Change Parameter Type cleanup : Function<Integer,Integer> to cleanup : IntUnaryOperator in method public runAndExit(in InputStream, debugStream PrintStream, cleanup IntUnaryOperator) : void in class edu.stanford.nlp.process.TSVSentenceProcessor |
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Change Parameter Type toMin : Function<CoreLabel,Integer> to toMin : ToIntFunction<CoreLabel> in method private getSpan(tokens List<CoreLabel>, toMin ToIntFunction<CoreLabel>, toMax ToIntFunction<CoreLabel>) : Pair<Integer,Integer> in class edu.stanford.nlp.ie.util.RelationTriple |
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Change Parameter Type fn : Function<Double,Double> to fn : DoubleUnaryOperator in method public mapInPlace(fn DoubleUnaryOperator) : void in class edu.stanford.nlp.loglinear.model.ConcatVector |
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Change Parameter Type function : Function<Integer,Double> to function : IntToDoubleFunction in method public FunctionDataSeries(name String, function IntToDoubleFunction, size int, domain DataSeries) in class edu.stanford.nlp.stats.DataSeries.FunctionDataSeries |
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Change Parameter Type function : Function<Double,Double> to function : DoubleUnaryOperator in method public minimize(function DoubleUnaryOperator, tol double, low double, high double) : double in class edu.stanford.nlp.optimization.GoldenSectionLineSearch |
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Change Parameter Type acceptWord : Function<CoreLabel,Boolean> to acceptWord : Predicate<CoreLabel> in method private descendantsHelper(g SemanticGraph, curr IndexedWord, descendantSet Set<IndexedWord>, allCutOffRels List<String>, doNotAddThese List<IndexedWord>, seenNodes List<IndexedWord>, ignoreCommonTags boolean, acceptWord Predicate<CoreLabel>, feat CollectionValuedMap<Integer,String>) : void in class edu.stanford.nlp.patterns.dep.ExtractPhraseFromPattern |
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Change Parameter Type scoreFunc : Function<? super Match<K,V>,Double> to scoreFunc : ToDoubleFunction<? super Match<K,V>> in method public segment(list List<K>, scoreFunc ToDoubleFunction<? super Match<K,V>>) : List<Match<K,V>> in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher |
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Change Parameter Type sigmaToTry : Double to sigmaToTry : double in method public applyAsDouble(sigmaToTry double) : double in class edu.stanford.nlp.classify.LinearClassifierFactory.NegativeScorer |
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Change Parameter Type checkTokensCompatible : Function<Pair<CoreLabel,CoreLabel>,Boolean> to checkTokensCompatible : Predicate<Pair<CoreLabel,CoreLabel>> in method public getAnnotatedChunks(tokens List<CoreLabel>, totalTokensOffset int, textKey Class, labelKey Class, tokenChunkKey Class, tokenLabelKey Class, checkTokensCompatible Predicate<Pair<CoreLabel,CoreLabel>>) : List<CoreMap> in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier |
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Change Parameter Type scoreFunc : Function<? super T,Double> to scoreFunc : ToDoubleFunction<? super T> in method public getNonOverlappingMaxScore(items List<? extends T>, toIntervalFunc Function<? super T,Interval<E>>, scoreFunc ToDoubleFunction<? super T>) : List<T> in class edu.stanford.nlp.util.IntervalTree |
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Change Parameter Type evalFunction : Function<Double,Double> to evalFunction : DoubleUnaryOperator in method public adjustBias(develData List<List<IN>>, evalFunction DoubleUnaryOperator, low double, high double) : void in class edu.stanford.nlp.ie.crf.CRFBiasedClassifier |
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Change Parameter Type acceptWord : Function<CoreLabel,Boolean> to acceptWord : Predicate<CoreLabel> in method public getSemGrexPatternNodes(g SemanticGraph, tokens List<String>, outputNodes Collection<String>, outputIndices Collection<IntPair>, pattern SemgrexPattern, findSubTrees boolean, extractedPhrases Collection<ExtractedPhrase>, lowercase boolean, acceptWord Predicate<CoreLabel>) : Set<IndexedWord> in class edu.stanford.nlp.patterns.dep.ExtractPhraseFromPattern |
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Change Parameter Type function : Function<Double,Double> to function : DoubleUnaryOperator in method public minimize(function DoubleUnaryOperator) : double in class edu.stanford.nlp.optimization.LineSearcher |
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Change Parameter Type acceptWord : Function<CoreLabel,Boolean> to acceptWord : Predicate<CoreLabel> in method public descendants(g SemanticGraph, vertex IndexedWord, allCutOffRels List<String>, doNotAddThese List<IndexedWord>, ignoreCommonTags boolean, acceptWord Predicate<CoreLabel>, feat CollectionValuedMap<Integer,String>) : Set<IndexedWord> in class edu.stanford.nlp.patterns.dep.ExtractPhraseFromPattern |
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Change Parameter Type lam : Double to lam : double in method public applyAsDouble(lam double) : double in class edu.stanford.nlp.optimization.ScaledSGDMinimizer.lagrange |
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Change Parameter Type e : Function<Double,Double> to e : DoubleUnaryOperator in method package CRFBiasedClassifierOptimizer(c CRFBiasedClassifier<IN>, e DoubleUnaryOperator) in class edu.stanford.nlp.ie.crf.CRFBiasedClassifier.CRFBiasedClassifierOptimizer |
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Change Parameter Type scoreFunc : Function<? super Match<K,V>,Double> to scoreFunc : ToDoubleFunction<? super Match<K,V>> in method public getNonOverlapping(allMatches List<Match<K,V>>, scoreFunc ToDoubleFunction<? super Match<K,V>>) : List<Match<K,V>> in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher |
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Change Parameter Type cleanup : Function<Integer,Integer> to cleanup : IntUnaryOperator in method public runAndExit(in InputStream, debugStream PrintStream, cleanup IntUnaryOperator, sentenceTableSpec List<SentenceField>) : void in class edu.stanford.nlp.process.TSVSentenceProcessor |
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Change Parameter Type scoringFunction : Function<Pair<E,CandidatePhrase>,Double> to scoringFunction : ToDoubleFunction<Pair<E,CandidatePhrase>> in method package convert2OneDim(label String, scoringFunction ToDoubleFunction<Pair<E,CandidatePhrase>>, allCandidatePhrases Set<CandidatePhrase>, positivePatternsAndWords TwoDimensionalCounter<E,CandidatePhrase>, sqrtPatScore boolean, scorePhrasesInPatSelection boolean, dictOddsWordWeights Counter<CandidatePhrase>, useFreqPhraseExtractedByPat boolean) : Counter<E> in class edu.stanford.nlp.patterns.ScorePatternsRatioModifiedFreq |
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Change Parameter Type scoreFunc : Function<? super Match<K,V>,Double> to scoreFunc : ToDoubleFunction<? super Match<K,V>> in method public findNonOverlapping(list List<K>, start int, end int, scoreFunc ToDoubleFunction<? super Match<K,V>>) : List<Match<K,V>> in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher |
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Change Parameter Type function : Function<Integer,Double> to function : IntToDoubleFunction in method public FunctionDataSeries(name String, function IntToDoubleFunction, sizeFn ToIntFunction<Object>) in class edu.stanford.nlp.stats.DataSeries.FunctionDataSeries |
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Change Parameter Type checkTokensCompatible : Function<Pair<CoreLabel,CoreLabel>,Boolean> to checkTokensCompatible : Predicate<Pair<CoreLabel,CoreLabel>> in method public getAnnotatedChunks(tokens List<CoreLabel>, totalTokensOffset int, textKey Class, labelKey Class, checkTokensCompatible Predicate<Pair<CoreLabel,CoreLabel>>) : List<CoreMap> in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier |
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Change Parameter Type function : Function<Double,Double> to function : DoubleUnaryOperator in method public discretizeCompute(function DoubleUnaryOperator, numPoints int, low double, high double) : void in class edu.stanford.nlp.optimization.GoldenSectionLineSearch |
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Change Parameter Type function : Function<Integer,Double> to function : IntToDoubleFunction in method public FunctionDataSeries(name String, function IntToDoubleFunction, sizeFn ToIntFunction<Object>, domain DataSeries) in class edu.stanford.nlp.stats.DataSeries.FunctionDataSeries |
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Change Parameter Type containsTargetFunction : Function<T,Boolean> to containsTargetFunction : Predicate<T> in method private contains(tree IntervalTree<E,T>, target Interval<E>, containsTargetFunction Predicate<T>) : boolean in class edu.stanford.nlp.util.IntervalTree |
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Change Parameter Type fn : Function<Double,Double> to fn : DoubleUnaryOperator in method public map(fn DoubleUnaryOperator) : void in class edu.stanford.nlp.loglinear.model.ConcatVectorTest.DenseTestVector |
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Change Parameter Type retainFunction : Function<E,Boolean> to retainFunction : Predicate<E> in method public retainKeys(counter Counter<E>, retainFunction Predicate<E>) : void in class edu.stanford.nlp.stats.Counters |
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Change Parameter Type acceptWord : Function<CoreLabel,Boolean> to acceptWord : Predicate<CoreLabel> in method public printSubGraph(g SemanticGraph, w IndexedWord, additionalCutOffRels List<String>, textTokens List<String>, listOfOutput Collection<String>, listOfOutputIndices Collection<IntPair>, seenNodes List<IndexedWord>, doNotAddThese List<IndexedWord>, findSubTrees boolean, extractedPhrases Collection<ExtractedPhrase>, pattern SemgrexPattern, acceptWord Predicate<CoreLabel>) : void in class edu.stanford.nlp.patterns.dep.ExtractPhraseFromPattern |
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Change Parameter Type scorer : Function<? super SequenceMatchResult,Double> to scorer : ToDoubleFunction<? super SequenceMatchResult> in method public findNonOverlappingMaxScore(elements List<? extends T>, scorer ToDoubleFunction<? super SequenceMatchResult>) : List<SequenceMatchResult<T>> in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher |
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Change Parameter Type func : Function<Double,Double> to func : DoubleUnaryOperator in method public transformValuesInPlace(counter Counter<E>, func DoubleUnaryOperator) : void in class edu.stanford.nlp.stats.Counters |
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Change Parameter Type matchingFunction : Function<Pair,Boolean> to matchingFunction : Predicate<Pair> in method public getSubListIndex(tofind Object[], tokens Object[], matchingFunction Predicate<Pair>) : List<Integer> in class edu.stanford.nlp.util.ArrayUtils |
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Change Parameter Type accept : Function<T,Boolean> to accept : Predicate<T> in method public filter(iterable Iterable<T>, accept Predicate<T>) : Iterable<T> in class edu.stanford.nlp.util.Iterables |
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Change Parameter Type containsTargetFunction : Function<T,Boolean> to containsTargetFunction : Predicate<T> in method private contains(node TreeNode<E,T>, target Interval<E>, containsTargetFunction Predicate<T>) : boolean in class edu.stanford.nlp.util.IntervalTree |
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Change Parameter Type scorer : Function<MatchedExpression,Double> to scorer : ToDoubleFunction<MatchedExpression> in method public getBestMatched(matches List<T>, scorer ToDoubleFunction<MatchedExpression>) : T in class edu.stanford.nlp.ling.tokensregex.MatchedExpression |
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Change Parameter Type function : Function<Integer,Double> to function : IntToDoubleFunction in method public FunctionDataSeries(name String, function IntToDoubleFunction, size int) in class edu.stanford.nlp.stats.DataSeries.FunctionDataSeries |
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Change Parameter Type func : Function<Double,Double> to func : DoubleUnaryOperator in method private getRoot(func DoubleUnaryOperator, lower double, upper double) : double in class edu.stanford.nlp.optimization.ScaledSGDMinimizer |
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Change Parameter Type scoreFunc : Function<? super Match<K,V>,Double> to scoreFunc : ToDoubleFunction<? super Match<K,V>> in method public segment(list List<K>, start int, end int, scoreFunc ToDoubleFunction<? super Match<K,V>>) : List<Match<K,V>> in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher |
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Change Parameter Type sizeFn : Function<Object,Integer> to sizeFn : ToIntFunction<Object> in method public FunctionDataSeries(name String, function IntToDoubleFunction, sizeFn ToIntFunction<Object>) in class edu.stanford.nlp.stats.DataSeries.FunctionDataSeries |
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Change Parameter Type function : Function<Double,Double> to function : DoubleUnaryOperator in method public minimize(function DoubleUnaryOperator) : double in class edu.stanford.nlp.optimization.GoldenSectionLineSearch |
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Change Parameter Type sizeFn : Function<Object,Integer> to sizeFn : ToIntFunction<Object> in method public FunctionDataSeries(name String, function IntToDoubleFunction, sizeFn ToIntFunction<Object>, domain DataSeries) in class edu.stanford.nlp.stats.DataSeries.FunctionDataSeries |
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Change Parameter Type scoreFunc : Function<? super T,Double> to scoreFunc : ToDoubleFunction<? super T> in method public getNonOverlappingMaxScore(items List<? extends T>, scoreFunc ToDoubleFunction<? super T>) : List<T> in class edu.stanford.nlp.util.IntervalTree |
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Change Variable Type denoScore : Function<Pair<E,CandidatePhrase>,Double> to denoScore : ToDoubleFunction<Pair<E,CandidatePhrase>> in method public score() : Counter<E> in class edu.stanford.nlp.patterns.ScorePatternsRatioModifiedFreq |
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Change Variable Type func : Function<Double,Double> to func : DoubleUnaryOperator in method private updateDiagMinErr(diag double[], s double[], y double[]) : void in class edu.stanford.nlp.optimization.ScaledSGDMinimizer |
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Change Variable Type CVSigmaToPerplexity : Function<Double,Double> to CVSigmaToPerplexity : DoubleUnaryOperator in method private tuneSigma(data int[][], labels int[]) : void in class edu.stanford.nlp.classify.NBLinearClassifierFactory |
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Change Variable Type acceptWord : Function<CoreLabel,Boolean> to acceptWord : Predicate<CoreLabel> in method package chooseUnknownPhrases(sent DataInstance, random Random, perSelect double, positiveClass Class, label String, maxNum int) : Set<CandidatePhrase> in class edu.stanford.nlp.patterns.ScorePhrasesLearnFeatWt |
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Change Variable Type negativeScorer : Function<Double,Double> to negativeScorer : DoubleUnaryOperator in method public heldOutSetC(trainSet GeneralDataset<L,F>, devSet GeneralDataset<L,F>, scorer Scorer<L>, minimizer LineSearcher) : void in class edu.stanford.nlp.classify.SVMLightClassifierFactory |
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Change Variable Type f1 : Function<Double,Double> to f1 : DoubleUnaryOperator in method public main(args String[]) : void in class edu.stanford.nlp.optimization.GoldenSectionLineSearch |
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Change Variable Type numeratorScore : Function<Pair<E,CandidatePhrase>,Double> to numeratorScore : ToDoubleFunction<Pair<E,CandidatePhrase>> in method public score() : Counter<E> in class edu.stanford.nlp.patterns.ScorePatternsRatioModifiedFreq |
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Change Variable Type retainPhrasesNotCloseToNegative : Function<CandidatePhrase,Boolean> to retainPhrasesNotCloseToNegative : Predicate<CandidatePhrase> in method private computeSimWithWordVectors(candidatePhrases List<CandidatePhrase>, positivePhrases Collection<CandidatePhrase>, allPossibleNegativePhrases Map<String,Collection<CandidatePhrase>>, label String) : Pair<Counter<CandidatePhrase>,Counter<CandidatePhrase>> in class edu.stanford.nlp.patterns.ScorePhrasesLearnFeatWt |
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Change Variable Type containsTargetFunction : Function<T,Boolean> to containsTargetFunction : Predicate<T> in method public containsInterval(node IntervalTree<E,T>, target Interval<E>, exact boolean) : boolean in class edu.stanford.nlp.util.IntervalTree |
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Change Variable Type negativeScorer : Function<Double,Double> to negativeScorer : DoubleUnaryOperator in method public crossValidateSetC(dataset GeneralDataset<L,F>, numFolds int, scorer Scorer<L>, minimizer LineSearcher) : void in class edu.stanford.nlp.classify.SVMLightClassifierFactory |
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Change Variable Type f2 : Function<Double,Double> to f2 : DoubleUnaryOperator in method public main(args String[]) : void in class edu.stanford.nlp.optimization.GoldenSectionLineSearch |
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Change Variable Type negativeScorer : Function<Double,Double> to negativeScorer : DoubleUnaryOperator in method public crossValidateSetSigma(dataset GeneralDataset<L,F>, kfold int, scorer Scorer<L>, minimizer LineSearcher) : void in class edu.stanford.nlp.classify.LinearClassifierFactory |
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Change Variable Type containsTargetFunction : Function<T,Boolean> to containsTargetFunction : Predicate<T> in method public containsValue(node IntervalTree<E,T>, target T) : boolean in class edu.stanford.nlp.util.IntervalTree |
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