break; case FuzzyMatchMeta.OPERATION_TYPE_JARO_WINKLER: csimilarity = new JaroWinkler().score( cacheValue, lookupvalue ); break; default:
public JaroWinklerTFIDF() { super(new JaroWinkler(), 0.9); } public String toString() { return "[JaroWinklerTFIDF:threshold="+getTokenMatchThreshold()+"]"; }
static public void main(String[] argv) { doMain(new JaroWinkler(), argv); } }
private Set findSimilarTokens(String s,int i) { Set likeTokI = new HashSet(); for (int j=Math.max(0,i-windowSize); j<Math.min(i+windowSize,numTokens); j++) { if (i!=j) { Token tokj = allTokens[j]; double d = jaroWinklerDistance.score( s, tokj.getValue() ); if (d>=minTokenSimilarity) likeTokI.add( tokj ); } } return likeTokI; }
public SoftTFIDF() { this(new JaroWinkler(), 0.9); }
static public void main(String[] argv) { doMain(new JaroWinkler(), argv); } }
private Set findSimilarTokens(String s,int i) { Set likeTokI = new HashSet(); for (int j=Math.max(0,i-windowSize); j<Math.min(i+windowSize,numTokens); j++) { if (i!=j) { Token tokj = allTokens[j]; double d = jaroWinklerDistance.score( s, tokj.getValue() ); if (d>=minTokenSimilarity) likeTokI.add( tokj ); } } return likeTokI; }
public SourcedSoftTFIDF() { this(new JaroWinkler(), 0.9); }
static public void main(String[] argv) { doMain(new JaroWinkler(), argv); } }
private Set findSimilarTokens(String s,int i) { Set likeTokI = new HashSet(); for (int j=Math.max(0,i-windowSize); j<Math.min(i+windowSize,numTokens); j++) { if (i!=j) { Token tokj = allTokens[j]; double d = jaroWinklerDistance.score( s, tokj.getValue() ); if (d>=minTokenSimilarity) likeTokI.add( tokj ); } } return likeTokI; }
public SoftTFIDF() { this(new JaroWinkler(), 0.9); }
for (int j=0; j<similarTokens[tok.getIndex()].length; j++) { Token simTok = similarTokens[tok.getIndex()][j]; double sim = jaroWinklerDistance.score(tok.getValue(), simTok.getValue()); storeUpperBound( tok, simTok, usefulTokens, upperBoundOnWeight, sim ); for (Iterator j=likeTokI.iterator(); j.hasNext(); ) { Token simTok = (Token)j.next(); double sim = jaroWinklerDistance.score(tok.getValue(), simTok.getValue()); storeUpperBound( tok, simTok, usefulTokens, upperBoundOnWeight, sim );
public SourcedSoftTFIDF() { this(new JaroWinkler(), 0.9); }
for (int j=0; j<similarTokens[tok.getIndex()].length; j++) { Token simTok = similarTokens[tok.getIndex()][j]; double sim = jaroWinklerDistance.score(tok.getValue(), simTok.getValue()); storeUpperBound( tok, simTok, usefulTokens, upperBoundOnWeight, sim ); for (Iterator j=likeTokI.iterator(); j.hasNext(); ) { Token simTok = (Token)j.next(); double sim = jaroWinklerDistance.score(tok.getValue(), simTok.getValue()); storeUpperBound( tok, simTok, usefulTokens, upperBoundOnWeight, sim );
public JaroWinklerTFIDF() { super(new JaroWinkler(), 0.9); } public String toString() { return "[JaroWinklerTFIDF:threshold="+getTokenMatchThreshold()+"]"; }
for (int j=0; j<similarTokens[tok.getIndex()].length; j++) { Token simTok = similarTokens[tok.getIndex()][j]; double sim = jaroWinklerDistance.score(tok.getValue(), simTok.getValue()); storeUpperBound( tok, simTok, usefulTokens, upperBoundOnWeight, sim ); for (Iterator j=likeTokI.iterator(); j.hasNext(); ) { Token simTok = (Token)j.next(); double sim = jaroWinklerDistance.score(tok.getValue(), simTok.getValue()); storeUpperBound( tok, simTok, usefulTokens, upperBoundOnWeight, sim );
public JaroWinklerTFIDF() { super(new JaroWinkler(), 0.9); } public String toString() { return "[JaroWinklerTFIDF:threshold="+getTokenMatchThreshold()+"]"; }
public JaroWinklerSecondStringComparator() { secondStringMeasureL1 = new JaroWinkler(); secondStringMeasureL2 = new Level2JaroWinkler(); } }
public JaroWinklerSecondStringComparator() { secondStringMeasureL1 = new JaroWinkler(); secondStringMeasureL2 = new Level2JaroWinkler(); } }
public JaroWinklerSecondStringComparator() { secondStringMeasureL1 = new JaroWinkler(); secondStringMeasureL2 = new Level2JaroWinkler(); } }