Package uk.ac.ucl.panda.applications.evaluation.trec

Examples of uk.ac.ucl.panda.applications.evaluation.trec.QualityBenchmark

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      // set the parsing of quality queries into Lucene queries.
      QualityQueryParser qqParser = new SimpleQQParser("title", "body");

      // run the benchmark
      QualityBenchmark qrun = new QualityBenchmark(qqs, qqParser, index, docNameField);
      qrun.setMaxResults(maxResults);
      SubmissionReport submitLog = null;
     
     
     
      QualityStats stats[] = qrun.execute(judge, submitLog, logger, scorelogger);

      // print an avarage sum of the results
      QualityStats avg = QualityStats.average(stats);
      avg.log("SUMMARY", 2, logger, "  ");
 
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      // set the parsing of quality queries into Lucene queries.
      QualityQueryParser qqParser = new SimpleQQParser("title", "body");

      // run the benchmark
      QualityBenchmark qrun = new QualityBenchmark(qqs, qqParser, index, docNameField);
      qrun.setMaxResults(maxResults);
      SubmissionReport submitLog = null;
     
           
            //batch
             logger.print("MAP"+'\t'+"MRR"+'\t'+"Recall"+'\t'+"1-call"+'\t'+"2-call"+'\t'+"3-call"+'\t'+"4-call"+'\t'+"5-call"+'\t'+"6-call"+'\t'+"7-call"+'\t'+"8-call"+'\t'+"9-call"+'\t'+"10-call"+'\t'+"NDCG@1"+'\t'+"NDCG@5"+'\t'+"NDCG@10"+'\t'+"NDCG@15"+'\t'+"NDCG@20"+"NDCG@35"+'\t'+"NDCG@50"+'\t'+"NDCG@70"+'\t'+"NDCG@100"+'\t'+"NDCG@200"+'\t'+"NDCG@250"+'\t'+"NDCG@400"+'\t'+"NDCG@500"+'\t'+"NDCG@600"+'\t'+"NDCG@700"+'\t');
            for(int i =1; i<=70 ;i++){
                logger.print('\t'+"Precision@"+i);
            }
           
            logger.println();
      /**
       * Var adjust
       */

        
      for(double a1=0.0d; a1<=0.0d; a1+=10.0d){
     
      QualityStats stats[] = qrun.execute(judge, submitLog, null, scorelogger, a1, 0);

      // print an avarage sum of the results
      QualityStats avg = QualityStats.average(stats);
      avg.batch_log(Double.toString(a1) , 2, logger, "  ");
 
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      // set the parsing of quality queries into Lucene queries.
      QualityQueryParser qqParser = new SimpleQQParser("title", "body");

      // run the benchmark
      QualityBenchmark qrun = new QualityBenchmark(qqs, qqParser, index, docNameField);
      qrun.setMaxResults(maxResults);
      SubmissionReport submitLog = null;


            //batch
             logger.print("MAP"+'\t'+"MRR"+'\t'+"Recall"+'\t'+"1-call"+'\t'+"2-call"+'\t'+"3-call"+'\t'+"4-call"+'\t'+"5-call"+'\t'+"6-call"+'\t'+"7-call"+'\t'+"8-call"+'\t'+"9-call"+'\t'+"10-call"+'\t'+"NDCG@1"+'\t'+"NDCG@5"+'\t'+"NDCG@10"+'\t'+"NDCG@15"+'\t'+"NDCG@20"+"NDCG@35"+'\t'+"NDCG@50"+'\t'+"NDCG@70"+'\t'+"NDCG@100"+'\t'+"NDCG@200"+'\t'+"NDCG@250"+'\t'+"NDCG@400"+'\t'+"NDCG@500"+'\t'+"NDCG@600"+'\t'+"NDCG@700"+'\t');
            for(int i =1; i<=70 ;i++){
                logger.print('\t'+"Precision@"+i);
            }

            logger.println();
      /**
       * Var adjust
       */


      for(double a1=0.000001d; a1<=1.0d; a1+=1.0d){

            for(double a2=10.0d; a2<=15.0d; a2+=10.0d){
      QualityStats stats[] = qrun.execute_var(judge, submitLog, null, scorelogger, a1, a2);
      // print an avarage sum of the results
      QualityStats avg = QualityStats.average(stats);
      avg.batch_log(Double.toString(a1) , 2, logger, "  ");
        }

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      // set the parsing of quality queries into Lucene queries.
      QualityQueryParser qqParser = new SimpleQQParser("title", "body");

      // run the benchmark
      QualityBenchmark qrun = new QualityBenchmark(qqs, qqParser, index, docNameField);
      qrun.setMaxResults(maxResults);
      SubmissionReport submitLog = null;


            //batch
             logger.print("MAP"+'\t'+"MRR"+'\t'+"Recall"+'\t'+"1-call"+'\t'+"2-call"+'\t'+"3-call"+'\t'+"4-call"+'\t'+"5-call"+'\t'+"6-call"+'\t'+"7-call"+'\t'+"8-call"+'\t'+"9-call"+'\t'+"10-call"+'\t'+"NDCG@1"+'\t'+"NDCG@5"+'\t'+"NDCG@10"+'\t'+"NDCG@15"+'\t'+"NDCG@20"+"NDCG@35"+'\t'+"NDCG@50"+'\t'+"NDCG@70"+'\t'+"NDCG@100"+'\t'+"NDCG@200"+'\t'+"NDCG@250"+'\t'+"NDCG@400"+'\t'+"NDCG@500"+'\t'+"NDCG@600"+'\t'+"NDCG@700"+'\t');
            for(int i =1; i<=70 ;i++){
                logger.print('\t'+"Precision@"+i);
            }

            logger.println();
      /**
       * Var adjust
       */


      for(double a1=0.0d; a1<=0.0d; a1+=1.0d){

      QualityStats stats[] = qrun.execute_plot(judge, submitLog, null, scorelogger, a1, 0, relScoreLogger);

      // print an avarage sum of the results
      QualityStats avg = QualityStats.average(stats);
      avg.batch_log(Double.toString(a1) , 2, logger, "  ");

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Related Classes of uk.ac.ucl.panda.applications.evaluation.trec.QualityBenchmark

  • uk.ac.ucl.panda.retrieval.MeanVarianceScoreDoc
  • uk.ac.ucl.panda.retrieval.query.QualityQuery
  • uk.ac.ucl.panda.retrieval.query.Query
  • uk.ac.ucl.panda.retrieval.ScoreDoc
  • uk.ac.ucl.panda.retrieval.Searcher
  • uk.ac.ucl.panda.retrieval.TopDocCollector
  • uk.ac.ucl.panda.retrieval.TopDocs
  • uk.ac.ucl.panda.retrieval.TopDocsMeanVariance
  • uk.ac.ucl.panda.retrieval.TopMeanVarianceDocCollector
  • uk.ac.ucl.panda.retrieval.TrecRetrieval
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