List of correlation() Examples

Examples of correlation()

cc.mallet.fst.confidence.ConfidenceEvaluator.correlation()
Calculate pearson's R for the corellation between confidence and correct, where 1 = correct and -1 = incorrect
edu.ucla.sspace.evaluation.WordChoiceReport.correlation()
edu.ucla.sspace.evaluation.WordSimilarityReport.correlation()
Returns the correlation between the similarity judgemnts from a {@link SemanticSpace} similarity and the provided human similarity judgements.
org.apache.commons.math.stat.correlation.PearsonsCorrelation.correlation()
Computes the Pearson's product-moment correlation coefficient between the two arrays.
Throws IllegalArgumentException if the arrays do not have the same length or their common length is less than 2
@param xArray first data array @param yArray second data array @return Returns Pearson's correlation coefficient for the two arrays @throws IllegalArgumentException if the arrays lengths do not match orthere is insufficient data

Examples of cc.mallet.fst.confidence.ConfidenceEvaluator.correlation()


      
    }
    
    ConfidenceEvaluator evaluator = new ConfidenceEvaluator(entityConfidences, this.numberBins);
    out.println("correlation: " + evaluator.correlation());
    out.println("avg precision: " + evaluator.getAveragePrecision());
    out.println("coverage\taccuracy:\n" + evaluator.accuracyCoverageValuesToString());    
    double[] ac = evaluator.getAccuracyCoverageValues();
    for (int i=0; i < ac.length; i++) {
      int marks = (int)(ac[i]*25.0);

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

            WordSimilarityReport report =
                WordSimilarityEvaluationRunner.evaluate(
                        sspace, wordSimilarity, similarity);
            verbose("Results for %s:%n%s%n", wordSimilarity, report);
            results[resultIndex++] = String.format(
                    "%4.3f", report.correlation());
        }


        // Run the word priming tests.
        for (WordPrimingTest wordPrimingTest : wordPrimingTests) {
            WordPrimingReport report = wordPrimingTest.evaluate(sspace);

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Examples of edu.ucla.sspace.evaluation.WordSimilarityReport.correlation()

            WordSimilarityReport report =
                WordSimilarityEvaluationRunner.evaluate(
                        sspace, wordSimilarity, similarity);
            verbose("Results for %s:%n%s%n", wordSimilarity, report);
            results[resultIndex++] = String.format(
                    "%4.3f", report.correlation());
        }


        // Run the word priming tests.
        for (WordPrimingTest wordPrimingTest : wordPrimingTests) {
            WordPrimingReport report = wordPrimingTest.evaluate(sspace);

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Examples of org.apache.commons.math.stat.correlation.PearsonsCorrelation.correlation()

      
      double[] concatExpArray = ArrayUtils.toPrimitive(concatExp.toArray(new Double[concatExp.size()])); 
      double[] concatGSArray = ArrayUtils.toPrimitive(concatGS.toArray(new Double[concatGS.size()]));


      PearsonsCorrelation pearson = new PearsonsCorrelation();
      Double correl = pearson.correlation(concatExpArray, concatGSArray);
      
      sb.append(correl.toString());
    }
    else if (metric == PearsonMean)
    {

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Examples of org.apache.commons.math.stat.correlation.PearsonsCorrelation.correlation()

    
    double[] expArray = ArrayUtils.toPrimitive(expScores.toArray(new Double[expScores.size()])); 
    double[] gsArray = ArrayUtils.toPrimitive(gsScores.toArray(new Double[gsScores.size()]));


    PearsonsCorrelation pearson = new PearsonsCorrelation();
    Double correl = pearson.correlation(expArray, gsArray);
    
    FileUtils.writeStringToFile(
        new File(OUTPUT_DIR + "/" + mode.toString().toLowerCase() + "/" + dataset.toString() + ".txt"),
        correl.toString());
  }

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Examples of org.apache.commons.math.stat.correlation.PearsonsCorrelation.correlation()

      
      double[] concatExpArray = ArrayUtils.toPrimitive(concatExp.toArray(new Double[concatExp.size()])); 
      double[] concatGSArray = ArrayUtils.toPrimitive(concatGS.toArray(new Double[concatGS.size()]));


      PearsonsCorrelation pearson = new PearsonsCorrelation();
      Double correl = pearson.correlation(concatExpArray, concatGSArray);
      
      sb.append(correl.toString());
    }
    else if (metric == PearsonMean)
    {

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Examples of org.apache.commons.math.stat.correlation.PearsonsCorrelation.correlation()

    
    double[] expArray = ArrayUtils.toPrimitive(expScores.toArray(new Double[expScores.size()])); 
    double[] gsArray = ArrayUtils.toPrimitive(gsScores.toArray(new Double[gsScores.size()]));


    PearsonsCorrelation pearson = new PearsonsCorrelation();
    Double correl = pearson.correlation(expArray, gsArray);
    
    FileUtils.writeStringToFile(
        new File(OUTPUT_DIR + "/" + mode.toString().toLowerCase() + "/" + dataset.toString() + ".txt"),
        correl.toString());
  }

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