List of score() Examples

Examples of score()

bgu.bio.util.ScoringMatrix.score()
Score. @param c1 the c1 @param c2 the c2 @return the double
com.aliasi.classify.JointClassification.score()
com.aliasi.util.ScoredObject.score()
com.browseengine.bobo.query.scoring.BoboDocScorer.score()
edu.stanford.nlp.fsm.DFSATransition.score()
edu.stanford.nlp.stats.MultiClassChunkEvalStats.score()
edu.stanford.nlp.trees.Tree.score()
Returns the score associated with the current node, or NaN if there is no score. The default implementation returns NaN. @return The score
edu.stanford.nlp.util.EditDistance.score()
edu.ucla.sspace.clustering.criterion.CriterionFunction.score()
Returns the score computed by this {@link CriterionFunction}.
edu.ucla.sspace.evaluation.WordChoiceReport.score()
Returns the score, ranged between 0 and 100, achieved on a particlar evaluation.
edu.umd.cs.findbugs.cloud.Cloud.UserDesignation.score()
fr.neatmonster.nocheatplus.utilities.ActionAccumulator.score()
Total score. @return
fr.neatmonster.nocheatplus.utilities.ActionFrequency.score()
Get a weighted sum score, weight for bucket i: w(i) = factor^i. @param factor @return
gov.nist.scap.xccdf.scoring.ScoringModel.score()
it.unimi.dsi.mg4j.query.QueryEngine.score()
Sets the scorers for this query engine.
If scorer has length zero, scoring is disabled. If it has length 1, the only scorer is used for scoring, and the only element of weight is discarded. Otherwise, a {@link LinearAggregator} is used to combine results fromthe given scorers, using the given weights. @param scorer a (possibly empty) array of {@linkplain Scorer scorers}. @param weight a parallel array of weights (not to be confused with index weights).
joshua.zmert.BLEU.score()
monopoly.model.game.Dice.DiceScore.score()
opennlp.ccg.ngrams.NgramPrecisionModel.score()
Returns a score between 0 (worst) and 1 (best) for the given sign and completeness flag, based on the n-gram score of the sign's words. If the sign is complete, sentence delimiters are added before scoring the words, if not already present. Returns 0 if any filter flags the n-gram for filtering, or if the sign has no words. Otherwise, sets signToScore, calls prepareToScoreWords, and then calculates and returns the n-gram precision score. In particular, returns the linear combination using the established weights of the various n-gram precision scores (from unigram up to the configured order), where the n-gram precision is the number of n-grams with a match in the target strings divided by the number of n-grams in the word sequence. With the exact matches flag set, only exact matches count. With short sequences (less than the order), the score is adjusted proportionally to the max score.
org.apache.lucene.search.Hits.score()
Returns the score for the n^th document in this set.
org.apache.lucene.search.Scorer.score()
Scores and collects all matching documents. @param collector The collector to which all matching documents are passed.
org.apache.lucene.search.features.querydependent.PwaBM25.score()
Return score
org.apache.lucene.search.features.querydependent.PwaLuceneSimilarity.score()
Return score
org.apache.lucene.search.features.querydependent.PwaMinSpan.score()
Return score
org.apache.lucene.search.features.querydependent.PwaTFxIDF.score()
Return score
org.apache.lucene.search.features.temporal.PwaBoostNewer.score()
Return score
org.apache.lucene.search.features.temporal.PwaBoostNewerAndOlder.score()
Return score
org.apache.lucene.search.features.temporal.PwaBoostOlder.score()
Return score
org.apache.lucene.search.features.temporal.PwaNumberVersions.score()
Return score
org.apache.lucene.search.features.temporal.PwaSpanVersions.score()
Return score
org.apache.lucene.search.rankers.queryindependent.PwaLinInlinks.score()
org.apache.lucene.search.rankers.queryindependent.PwaLinPagerank.score()
org.apache.lucene.search.rankers.queryindependent.PwaUrlDepth.score()
org.apache.lucene.search.rankers.queryindependent.PwaUrlSlashes.score()
org.apache.solr.search.DocIterator.score()
Returns the score for the document just returned by nextDoc()
The value returned may be meaningless depending on the context in which the DocIterator instance was retrieved.
org.elasticsearch.search.internal.InternalSearchHit.score()
org.grouplens.lenskit.ItemScorer.score()
Score a single item. @param user The user ID for whom to generate a score. @param item The item ID to score. @return The score, or {@link Double#NaN} if no score can be generated.
org.restlet.routing.Route.score()
Returns the score for a given call (between 0 and 1.0). @param request The request to score. @param response The response to score. @return The score for a given call (between 0 and 1.0).
org.springmodules.lucene.search.factory.LuceneHits.score()
ru.autosome.commons.motifModel.di.DiPWM.score()
ru.autosome.commons.motifModel.mono.PWM.score()

Examples of edu.stanford.nlp.stats.MultiClassChunkEvalStats.score()

        classifier.classifyAndWriteAnswers(data, featurizedData, pw,
                                           classifier.makeReaderAndWriter());
        outputStream.close();
        BufferedReader br = new BufferedReader(new FileReader(f));
        MultiClassChunkEvalStats stats = new MultiClassChunkEvalStats("O");
        score = stats.score(br, "\t");
        System.err.println(stats.getConllEvalString());
        f.delete();
      } catch (Exception ex) {
        throw new RuntimeException(ex);
      }

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Examples of edu.stanford.nlp.trees.Tree.score()

              iii++;
              Tree tb = sot.object();
              Tree tbd = debinarizer.transformTree(tb);
              tbd = subcategoryStripper.transformTree(tbd);
              pq.restoreOriginalWords(tbd);
              pwOut.println("PCFG Parse #" + iii + " with score " + tbd.score());
              tbd.pennPrint(pwOut);
              Tree tbtr = collinizer.transformTree(tbd);
              // pwOut.println("Tree size = " + tbtr.size() + "; depth = " + tbtr.depth());
              kGoodLB.evaluate(tbtr, transGoldTree, pwErr);
            }

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Examples of edu.stanford.nlp.util.EditDistance.score()

        } else {
          String combo = l1[j] + "#" + l2[i];
          if (l1[j].equals(l2[i]) || seenFuzzyMatches.contains(combo))
            d1 = true;
          else {
            d1 = editDistance.score(l1[j], l2[i]) <= 1;
            if (!d1) {
              String combo2 = l1[j] + "#" + subl2[i];
              if (l1[j].equals(subl2[i]) || seenFuzzyMatches.contains(combo2))
                d2 = true;
              else {

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Examples of edu.ucla.sspace.clustering.criterion.CriterionFunction.score()

        double[] referenceScores = new double[gapMatrices.length];
        for (int j = 0; j < gapMatrices.length; ++j) {
            verbose("Clustering reference data %d \n", j);
            Assignments result = DirectClustering.cluster(
                    gapMatrices[j], k, 1, function);
            referenceScores[j] = Math.log(function.score());
            referenceScore += referenceScores[j];
        }
        referenceScore /= numGaps;


        // Compute the standard deviation for the reference scores.

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Examples of edu.ucla.sspace.clustering.criterion.CriterionFunction.score()

                matrix, k, 1, function);


        // Compute the difference between the two scores.  If the
        // current score is less than the previous score, then the
        // previous assignment is considered best.
        double gap = Math.log(function.score());
        verbose("Completed iteration with referenceScore: %f, gap:%f\n",
                referenceScore, gap);
        gap = referenceScore - gap;


        System.out.printf("k: %d gap: %f std: %f\n", i, gap, referenceStdev);

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Examples of edu.ucla.sspace.evaluation.WordChoiceReport.score()

        // Run the word choice tests.
        for (WordChoiceEvaluation wordChoice : wordChoiceTests) {
            WordChoiceReport report = WordChoiceEvaluationRunner.evaluate(
                        sspace, wordChoice, similarity);
            verbose("Results for %s:%n%s%n", wordChoice, report);
            results[resultIndex++] = String.format("%4.3f", report.score());
        }


        // Run the word similarity tests.
        for (WordSimilarityEvaluation wordSimilarity : 
                 wordSimilarityTests) {

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Examples of edu.umd.cs.findbugs.cloud.Cloud.UserDesignation.score()

                }
                if (addMessages) {
                    int ageInDays = ageInDays(bugCollection, firstSeen);
                    attributeList.addAttribute("ageInDays", Integer.toString(ageInDays));
                    if (reviews > 0 && consensus != UserDesignation.UNCLASSIFIED) {
                        if (consensus.score() < 0) {
                            attributeList.addAttribute("notAProblem", "true");
                        }
                        if (consensus.score() > 0) {
                            attributeList.addAttribute("shouldFix", "true");
                        }

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Examples of fr.neatmonster.nocheatplus.utilities.ActionAccumulator.score()

  public void testClear(){
    ActionAccumulator acc = new ActionAccumulator(50, 10);
    fill(acc);
    acc.clear();
    if (acc.count() != 0) fail("Expect 0 count after clear, got: " + acc.count());
    if (acc.score() != 0) fail("Expect 0 score after clear, got: " + acc.score());
    for (int i = 0; i < acc.numberOfBuckets(); i++){
      if (acc.bucketCount(i) != 0) fail("Expect 0 count at " + i + " after clear, got: " + acc.bucketCount(i));
      if (acc.bucketScore(i) != 0) fail("Expect 0 score at " + i + " after clear, got: " + acc.bucketScore(i));
    }
  }

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Examples of fr.neatmonster.nocheatplus.utilities.ActionAccumulator.score()

  public void testClear(){
    ActionAccumulator acc = new ActionAccumulator(50, 10);
    fill(acc);
    acc.clear();
    if (acc.count() != 0) fail("Expect 0 count after clear, got: " + acc.count());
    if (acc.score() != 0) fail("Expect 0 score after clear, got: " + acc.score());
    for (int i = 0; i < acc.numberOfBuckets(); i++){
      if (acc.bucketCount(i) != 0) fail("Expect 0 count at " + i + " after clear, got: " + acc.bucketCount(i));
      if (acc.bucketScore(i) != 0) fail("Expect 0 score at " + i + " after clear, got: " + acc.bucketScore(i));
    }
  }

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Examples of fr.neatmonster.nocheatplus.utilities.ActionFrequency.score()

      freq = new ActionFrequency(nBuckets, durBucket);
      entries.put(key, freq);
      return 0.0f;
    }
    freq.update(ts);
    float score = Math.min(1.0f, freq.score(factor));
    freq.add(ts, 1.0f);
    return score;
  }
  
}

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