Example usage for org.apache.lucene.benchmark.quality.utils SubmissionReport flush

Introduction

In this page you can find the example usage for org.apache.lucene.benchmark.quality.utils SubmissionReport flush.

Prototype

public void flush() 

Source Link

Usage

From source file:de.mpii.microblogtrack.task.offline.QualityBenchmark.java

License:Apache License

/**
 * Run the quality benchmark.// w  ww  .jav a 2  s  . c  o  m
 *
 * @param judge the judge that can tell if a certain result doc is relevant
 * for a certain quality query. If null, no judgements would be made.
 * Usually null for a submission run.
 * @param submitRep submission report is created if non null.
 * @param qualityLog If not null, quality run data would be printed for each
 * query.
 * @return QualityStats of each quality query that was executed.
 * @throws Exception if quality benchmark failed to run.
 */
public QualityStats[] execute(Judge judge, SubmissionReport submitRep, PrintWriter qualityLog)
        throws Exception {
    int nQueries = Math.min(maxQueries, qualityQueries.length);
    QualityStats stats[] = new QualityStats[nQueries];
    for (int i = 0; i < nQueries; i++) {
        QualityQuery qq = qualityQueries[i];
        // generate query
        Query q = qqParser.parse(qq);
        // search with this query 
        long t1 = System.currentTimeMillis();
        TopDocs td = searcher.search(q, maxResults);
        long searchTime = System.currentTimeMillis() - t1;
        //most likely we either submit or judge, but check both 
        if (judge != null) {
            stats[i] = analyzeQueryResults(qq, q, td, judge, qualityLog, searchTime);
        }
        if (submitRep != null) {
            submitRep.report(qq, td, docNameField, searcher);
        }
    }
    if (submitRep != null) {
        submitRep.flush();
    }
    return stats;
}

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From source file:de.mpii.microblogtrack.task.offline.QualityBenchmark.java

License:Apache License

public QualityStats[] execute(Judge judge, Query[] qs, SubmissionReport submitRep, PrintWriter qualityLog)
        throws Exception {
    int nQueries = Math.min(maxQueries, qs.length);
    QualityStats stats[] = new QualityStats[nQueries];
    for (int i = 0; i < nQueries; i++) {
        QualityQuery qq = qualityQueries[i];
        // generate query
        Query q = qs[i];/*www.  j  a  v  a 2  s . co  m*/
        // search with this query 
        long t1 = System.currentTimeMillis();
        TopDocs td = searcher.search(q, maxResults);
        long searchTime = System.currentTimeMillis() - t1;
        //most likely we either submit or judge, but check both 
        if (judge != null) {
            stats[i] = analyzeQueryResults(qq, q, td, judge, qualityLog, searchTime);
        }
        if (submitRep != null) {
            submitRep.report(qq, td, docNameField, searcher);
        }
    }
    if (submitRep != null) {
        submitRep.flush();
    }
    return stats;
}

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From source file:lucene.ri.QualityBenchmark.java

License:Apache License

/**
 * Run the quality benchmark.// w w w  . j a  v  a2 s .c o m
 * @param judge the judge that can tell if a certain result doc is relevant for a certain quality query. 
 *        If null, no judgements would be made. Usually null for a submission run. 
 * @param submitRep submission report is created if non null.
 * @param qualityLog If not null, quality run data would be printed for each query.
 * @return QualityStats of each quality query that was executed.
 * @throws Exception if quality benchmark failed to run.
 */
public QualityStats[] execute(Judge judge, SubmissionReport submitRep, PrintWriter qualityLog)
        throws Exception {

    int nQueries = Math.min(maxQueries, qualityQueries.length);
    QualityStats stats[] = new QualityStats[nQueries];

    for (int i = 0; i < nQueries; i++) {

        QualityQuery qq = qualityQueries[i];
        // generate query
        Query q = qqParser.parse(qq);
        // search with this query 
        long t1 = System.currentTimeMillis();
        TopDocs td = searcher.search("Fred");
        long searchTime = System.currentTimeMillis() - t1;
        //most likely we either submit or judge, but check both 

        if (judge != null) {
            stats[i] = analyzeQueryResults(qq, q, td, judge, qualityLog, searchTime);
        }
        if (submitRep != null) {
            submitRep.report(qq, td, docNameField, searcher.indexSearcher);//(arg0, arg1, arg2, arg3); report(qq,td,docNameField,searcher);
        }
    }
    if (submitRep != null) {
        submitRep.flush();
    }
    return stats;
}

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From source file:uib.percisionRecall.QualityBenchmark.java

License:Apache License

/**
 * Run the quality benchmark.//from w  w  w.j  a  v  a 2 s  . co m
 * @param judge the judge that can tell if a certain result doc is relevant for a certain quality query.
 *        If null, no judgements would be made. Usually null for a submission run.
 * @param submitRep submission report is created if non null.
 * @param qualityLog If not null, quality run data would be printed for each query.
 * @return QualityStats of each quality query that was executed.
 * @throws Exception if quality benchmark failed to run.
 */
public QualityStats[] execute(Judge judge, SubmissionReport submitRep, PrintWriter qualityLog)
        throws Exception {
    int nQueries = Math.min(maxQueries, qualityQueries.length);
    QualityStats stats[] = new QualityStats[nQueries];
    for (int i = 0; i < nQueries; i++) {
        QualityQuery qq = qualityQueries[i];
        // generate query
        Query q = qqParser.parse(qq);
        // search with this query
        long t1 = System.currentTimeMillis();
        TopDocs td = searcher.search(q, null, maxResults);
        long searchTime = System.currentTimeMillis() - t1;
        //most likely we either submit or judge, but check both
        if (judge != null) {
            stats[i] = analyzeQueryResults(qq, q, td, judge, qualityLog, searchTime);
        }
        if (submitRep != null) {
            submitRep.report(qq, td, docNameField, searcher);
        }
    }
    if (submitRep != null) {
        submitRep.flush();
    }
    return stats;
}

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