本文整理匯總了Java中org.apache.lucene.search.Explanation.getValue方法的典型用法代碼示例。如果您正苦於以下問題：Java Explanation.getValue方法的具體用法？Java Explanation.getValue怎麽用？Java Explanation.getValue使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類org.apache.lucene.search.Explanation的用法示例。
在下文中一共展示了Explanation.getValue方法的8個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Java代碼示例。
示例1: explain
import org.apache.lucene.search.Explanation; //導入方法依賴的package包/類
@Override
public Explanation explain(LeafReaderContext context, int doc) throws IOException {
Explanation subQueryExpl = subQueryWeight.explain(context, doc);
if (!subQueryExpl.isMatch()) {
return subQueryExpl;
}
Explanation expl;
if (function != null) {
Explanation functionExplanation = function.getLeafScoreFunction(context).explainScore(doc, subQueryExpl);
expl = combineFunction.explain(subQueryExpl, functionExplanation, maxBoost);
} else {
expl = subQueryExpl;
}
if (minScore != null && minScore > expl.getValue()) {
expl = Explanation.noMatch("Score value is too low, expected at least " + minScore + " but got " + expl.getValue(), expl);
}
return expl;
}
示例2: findPayloadBoostInExplanation
import org.apache.lucene.search.Explanation; //導入方法依賴的package包/類
boolean findPayloadBoostInExplanation(Explanation expl) {
if (expl.getDescription().startsWith("payloadBoost=") && expl.getValue() != 1f) {
return true;
} else {
boolean found = false;
for (Explanation sub : expl.getDetails()) {
found |= findPayloadBoostInExplanation(sub);
}
return found;
}
}
示例3: explainScore
import org.apache.lucene.search.Explanation; //導入方法依賴的package包/類
private Explanation explainScore(int doc, Explanation freq, BM25Stats stats, NumericDocValues norms) {
Explanation result = new Explanation();
result.setDescription("score(doc="+doc+",freq="+freq+"), product of:");
Explanation boostExpl = new Explanation(stats.queryBoost * stats.topLevelBoost, "boost");
if (boostExpl.getValue() != 1.0f)
result.addDetail(boostExpl);
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));
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;
}
示例4: explain
import org.apache.lucene.search.Explanation; //導入方法依賴的package包/類
/**
* Explain the score for a single document
* @param doc document id within the inverted index segment
* @param freq Explanation of how the sloppy term frequency was computed
* @return document's score
*/
public Explanation explain(int doc, Explanation freq) {
Explanation result = new Explanation(score(doc, freq.getValue()),
"score(doc=" + doc + ",freq=" + freq.getValue() +"), with freq of:");
result.addDetail(freq);
return result;
}
示例5: explain
import org.apache.lucene.search.Explanation; //導入方法依賴的package包/類
@Override
protected void explain(Explanation expl,
BasicStats stats, int doc, float freq, float docLen) {
if (stats.getTotalBoost() != 1.0f) {
expl.addDetail(new Explanation(stats.getTotalBoost(), "boost"));
}
Explanation normExpl = normalization.explain(stats, freq, docLen);
float tfn = normExpl.getValue();
expl.addDetail(normExpl);
expl.addDetail(basicModel.explain(stats, tfn));
expl.addDetail(afterEffect.explain(stats, tfn));
}
示例6: IDFStats
import org.apache.lucene.search.Explanation; //導入方法依賴的package包/類
public IDFStats(String field, Explanation idf, float queryBoost) {
// TODO: Validate?
this.field = field;
this.idf = idf;
this.queryBoost = queryBoost;
this.queryWeight = idf.getValue() * queryBoost; // compute query weight
}
示例7: explainScore
import org.apache.lucene.search.Explanation; //導入方法依賴的package包/類
private Explanation explainScore(int doc, Explanation freq, BM25StatsFixed stats, NumericDocValues norms) {
Explanation boostExpl = Explanation.match(stats.boost, "boost");
List<Explanation> subs = new ArrayList<>();
if (boostExpl.getValue() != 1.0f)
subs.add(boostExpl);
subs.add(stats.idf);
Explanation tfNormExpl = explainTFNorm(doc, freq, stats, norms);
subs.add(tfNormExpl);
return Explanation.match(
boostExpl.getValue() * stats.idf.getValue() * tfNormExpl.getValue(),
"score(doc="+doc+",freq="+freq+"), product of:", subs);
}
開發者ID:sebastian-hofstaetter，項目名稱:ir-generalized-translation-models，代碼行數:13，代碼來源:BM25SimilarityLossless.java
示例8: explainScore
import org.apache.lucene.search.Explanation; //導入方法依賴的package包/類
private Explanation explainScore(int doc, Explanation freq, IDFStats stats, NumericDocValues norms) {
Explanation result = new Explanation();
result.setDescription("score(doc="+doc+",freq="+freq+"), product of:");
// explain query weight
Explanation queryExpl = new Explanation();
queryExpl.setDescription("queryWeight, product of:");
Explanation boostExpl = new Explanation(stats.queryBoost, "boost");
if (stats.queryBoost != 1.0f)
queryExpl.addDetail(boostExpl);
queryExpl.addDetail(stats.idf);
Explanation queryNormExpl = new Explanation(stats.queryNorm,"queryNorm");
queryExpl.addDetail(queryNormExpl);
queryExpl.setValue(boostExpl.getValue() *
stats.idf.getValue() *
queryNormExpl.getValue());
result.addDetail(queryExpl);
// explain field weight
Explanation fieldExpl = new Explanation();
fieldExpl.setDescription("fieldWeight in "+doc+
", product of:");
Explanation tfExplanation = new Explanation();
tfExplanation.setValue(tf(freq.getValue()));
tfExplanation.setDescription("tf(freq="+freq.getValue()+"), with freq of:");
tfExplanation.addDetail(freq);
fieldExpl.addDetail(tfExplanation);
fieldExpl.addDetail(stats.idf);
Explanation fieldNormExpl = new Explanation();
float fieldNorm = norms != null ? decodeNormValue(norms.get(doc)) : 1.0f;
fieldNormExpl.setValue(fieldNorm);
fieldNormExpl.setDescription("fieldNorm(doc="+doc+")");
fieldExpl.addDetail(fieldNormExpl);
fieldExpl.setValue(tfExplanation.getValue() *
stats.idf.getValue() *
fieldNormExpl.getValue());
result.addDetail(fieldExpl);
// combine them
result.setValue(queryExpl.getValue() * fieldExpl.getValue());
if (queryExpl.getValue() == 1.0f)
return fieldExpl;
return result;
}