Package org.apache.lucene.search

Examples of org.apache.lucene.search.Explanation.addDetail()

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    float valSrcScore = 1;
    if (valSrcExpl != null) {
      valSrcScore *= valSrcExpl.getValue();
    }
    Explanation exp = new Explanation( valSrcScore * subQueryExpl.getValue(), "custom score: product of:");
    exp.addDetail(subQueryExpl);
    exp.addDetail(valSrcExpl);
    return exp;
  }

  //=========================== W E I G H T ============================
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    if (valSrcExpl != null) {
      valSrcScore *= valSrcExpl.getValue();
    }
    Explanation exp = new Explanation( valSrcScore * subQueryExpl.getValue(), "custom score: product of:");
    exp.addDetail(subQueryExpl);
    exp.addDetail(valSrcExpl);
    return exp;
  }

  //=========================== W E I G H T ============================
 
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      float sc = qWeight * vals.floatVal(doc);

      Explanation result = new ComplexExplanation(
        true, sc, ValueSourceQuery.this.toString() + ", product of:");

      result.addDetail(vals.explain(doc));
      result.addDetail(new Explanation(getBoost(), "boost"));
      result.addDetail(new Explanation(weight.queryNorm,"queryNorm"));
      return result;
    }
  }
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      Explanation result = new ComplexExplanation(
        true, sc, ValueSourceQuery.this.toString() + ", product of:");

      result.addDetail(vals.explain(doc));
      result.addDetail(new Explanation(getBoost(), "boost"));
      result.addDetail(new Explanation(weight.queryNorm,"queryNorm"));
      return result;
    }
  }
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      Explanation result = new ComplexExplanation(
        true, sc, ValueSourceQuery.this.toString() + ", product of:");

      result.addDetail(vals.explain(doc));
      result.addDetail(new Explanation(getBoost(), "boost"));
      result.addDetail(new Explanation(weight.queryNorm,"queryNorm"));
      return result;
    }
  }

  /*(non-Javadoc) @see org.apache.lucene.search.Query#createWeight(org.apache.lucene.search.Searcher) */
 
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    result.addDetail(stats.idf);

    Explanation tfNormExpl = new Explanation();
    tfNormExpl.setDescription("tfNorm, computed from:");
    tfNormExpl.addDetail(freq);
    tfNormExpl.addDetail(new Explanation(k1, "parameter k1"));
    if (norms == null) {
      tfNormExpl.addDetail(new Explanation(0, "parameter b (norms omitted for field)"));
      tfNormExpl.setValue((freq.getValue() * (k1 + 1)) / (freq.getValue() + k1));
    } else {
      float doclen = decodeNormValue((byte)norms.get(doc));
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    Explanation tfNormExpl = new Explanation();
    tfNormExpl.setDescription("tfNorm, computed from:");
    tfNormExpl.addDetail(freq);
    tfNormExpl.addDetail(new Explanation(k1, "parameter k1"));
    if (norms == null) {
      tfNormExpl.addDetail(new Explanation(0, "parameter b (norms omitted for field)"));
      tfNormExpl.setValue((freq.getValue() * (k1 + 1)) / (freq.getValue() + k1));
    } else {
      float doclen = decodeNormValue((byte)norms.get(doc));
      tfNormExpl.addDetail(new Explanation(b, "parameter b"));
      tfNormExpl.addDetail(new Explanation(stats.avgdl, "avgFieldLength"));
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    if (norms == null) {
      tfNormExpl.addDetail(new Explanation(0, "parameter b (norms omitted for field)"));
      tfNormExpl.setValue((freq.getValue() * (k1 + 1)) / (freq.getValue() + k1));
    } else {
      float doclen = decodeNormValue((byte)norms.get(doc));
      tfNormExpl.addDetail(new Explanation(b, "parameter b"));
      tfNormExpl.addDetail(new Explanation(stats.avgdl, "avgFieldLength"));
      tfNormExpl.addDetail(new Explanation(doclen, "fieldLength"));
      tfNormExpl.setValue((freq.getValue() * (k1 + 1)) / (freq.getValue() + k1 * (1 - b + b * doclen/stats.avgdl)));
    }
    result.addDetail(tfNormExpl);
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      tfNormExpl.addDetail(new Explanation(0, "parameter b (norms omitted for field)"));
      tfNormExpl.setValue((freq.getValue() * (k1 + 1)) / (freq.getValue() + k1));
    } else {
      float doclen = decodeNormValue((byte)norms.get(doc));
      tfNormExpl.addDetail(new Explanation(b, "parameter b"));
      tfNormExpl.addDetail(new Explanation(stats.avgdl, "avgFieldLength"));
      tfNormExpl.addDetail(new Explanation(doclen, "fieldLength"));
      tfNormExpl.setValue((freq.getValue() * (k1 + 1)) / (freq.getValue() + k1 * (1 - b + b * doclen/stats.avgdl)));
    }
    result.addDetail(tfNormExpl);
    result.setValue(boostExpl.getValue() * stats.idf.getValue() * tfNormExpl.getValue());
 
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      tfNormExpl.setValue((freq.getValue() * (k1 + 1)) / (freq.getValue() + k1));
    } else {
      float doclen = decodeNormValue((byte)norms.get(doc));
      tfNormExpl.addDetail(new Explanation(b, "parameter b"));
      tfNormExpl.addDetail(new Explanation(stats.avgdl, "avgFieldLength"));
      tfNormExpl.addDetail(new Explanation(doclen, "fieldLength"));
      tfNormExpl.setValue((freq.getValue() * (k1 + 1)) / (freq.getValue() + k1 * (1 - b + b * doclen/stats.avgdl)));
    }
    result.addDetail(tfNormExpl);
    result.setValue(boostExpl.getValue() * stats.idf.getValue() * tfNormExpl.getValue());
    return result;
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