Package org.terrier.matching.models.normalisation

Examples of org.terrier.matching.models.normalisation.Normalisation

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    try
    {     
      for(int fi=0;fi<fieldCount;fi++)
      {
        fieldWeights[fi] = Double.parseDouble(ApplicationSetup.getProperty("w."+ fi, ""+1.0));
        Normalisation nf = this.fieldNormalisations[fi] = normClass.newInstance();
        final double param = Double.parseDouble(ApplicationSetup.getProperty("c."+ fi, ""+1.0));
        nf.setParameter(param);
        nf.setNumberOfDocuments(_cs.getNumberOfDocuments());
        final long tokensf = _cs.getFieldTokens()[fi];
        nf.setNumberOfTokens(tokensf);
        nf.setAverageDocumentLength(_cs.getAverageFieldLengths()[fi]);       
      } 
    } catch (Exception e) {
      throw new IllegalStateException(e);     
    }
  }
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    this.fieldNormalisations = new Normalisation[fieldCount];
    try{
      for(int fi=0;fi<fieldCount;fi++)
      {
        fieldWeights[fi] = Double.parseDouble(ApplicationSetup.getProperty("w."+ fi, ""+1.0));
        final Normalisation nf = normClass.newInstance();
        this.fieldNormalisations[fi] = nf;
        final double param = Double.parseDouble(ApplicationSetup.getProperty("c."+ fi, ""+1.0));
        nf.setParameter(param);
        nf.setNumberOfDocuments(_cs.getNumberOfDocuments());
        final long tokensf = _cs.getFieldTokens()[fi];
        nf.setNumberOfTokens(tokensf);
        nf.setAverageDocumentLength(_cs.getAverageFieldLengths()[fi]);
        p[fi] = 1.0d / ((double)fieldCount * super.numberOfDocuments);
        p[fi] = p[fi] / Double.parseDouble( ApplicationSetup.getProperty("p." + fi, "1.0d"));
      }
   
    } catch (Exception e) {
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    p = new double[fieldCount];
    this.fieldNormalisations = new Normalisation[fieldCount];
    try{   
      for(int fi=0;fi<fieldCount;fi++)
      {
        final Normalisation nf = this.fieldNormalisations[fi] = normClass.newInstance();
        final double param = Double.parseDouble(ApplicationSetup.getProperty("c."+ fi, ""+1.0));
        nf.setParameter(param);
        nf.setNumberOfDocuments(_cs.getNumberOfDocuments());
        final long tokensf = _cs.getFieldTokens()[fi];
        nf.setNumberOfTokens(tokensf);
        nf.setAverageDocumentLength(_cs.getAverageFieldLengths()[fi]); 
        p[fi] = 1.0d / ((double)fieldCount * super.numberOfDocuments);
        p[fi] = p[fi] / (fieldWeights[fi] = Double.parseDouble( ApplicationSetup.getProperty("p." + fi, "1.0d")));
      }
   
    } catch (Exception e) {
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Related Classes of org.terrier.matching.models.normalisation.Normalisation

  • org.terrier.matching.models.Idf
  • org.terrier.matching.models.MDL2
  • org.terrier.matching.models.ML2
  • org.terrier.matching.models.PerFieldNormWeightingModel
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