本文整理汇总了Java中org.apache.lucene.search.similarities.DFRSimilarity类的典型用法代码示例。如果您正苦于以下问题：Java DFRSimilarity类的具体用法？Java DFRSimilarity怎么用？Java DFRSimilarity使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
DFRSimilarity类属于org.apache.lucene.search.similarities包，在下文中一共展示了DFRSimilarity类的6个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: DFRSimilarityProvider
import org.apache.lucene.search.similarities.DFRSimilarity; //导入依赖的package包/类
public DFRSimilarityProvider(String name, Settings settings, Settings indexSettings) {
super(name);
BasicModel basicModel = parseBasicModel(settings);
AfterEffect afterEffect = parseAfterEffect(settings);
Normalization normalization = parseNormalization(settings);
this.similarity = new DFRSimilarity(basicModel, afterEffect, normalization);
}
示例2: setupIndex
import org.apache.lucene.search.similarities.DFRSimilarity; //导入依赖的package包/类
@Before
public void setupIndex() throws IOException {
dirUnderTest = newDirectory();
List<Similarity> sims = Arrays.asList(
new ClassicSimilarity(),
new SweetSpotSimilarity(), // extends Classic
new BM25Similarity(),
new LMDirichletSimilarity(),
new BooleanSimilarity(),
new LMJelinekMercerSimilarity(0.2F),
new AxiomaticF3LOG(0.5F, 10),
new DFISimilarity(new IndependenceChiSquared()),
new DFRSimilarity(new BasicModelBE(), new AfterEffectB(), new NormalizationH1()),
new IBSimilarity(new DistributionLL(), new LambdaDF(), new NormalizationH3())
);
similarity = sims.get(random().nextInt(sims.size()));
indexWriterUnderTest = new RandomIndexWriter(random(), dirUnderTest, newIndexWriterConfig().setSimilarity(similarity));
for (int i = 0; i < docs.length; i++) {
Document doc = new Document();
doc.add(newStringField("id", "" + i, Field.Store.YES));
doc.add(newField("field", docs[i], Store.YES));
indexWriterUnderTest.addDocument(doc);
}
indexWriterUnderTest.commit();
indexWriterUnderTest.forceMerge(1);
indexWriterUnderTest.flush();
indexReaderUnderTest = indexWriterUnderTest.getReader();
searcherUnderTest = newSearcher(indexReaderUnderTest);
searcherUnderTest.setSimilarity(similarity);
}
示例3: test
import org.apache.lucene.search.similarities.DFRSimilarity; //导入依赖的package包/类
/** dfr with default parameters */
public void test() throws Exception {
Similarity sim = getSimilarity("text");
assertEquals(DFRSimilarity.class, sim.getClass());
DFRSimilarity dfr = (DFRSimilarity) sim;
assertEquals(BasicModelIF.class, dfr.getBasicModel().getClass());
assertEquals(AfterEffectB.class, dfr.getAfterEffect().getClass());
assertEquals(NormalizationH2.class, dfr.getNormalization().getClass());
}
示例4: testParameters
import org.apache.lucene.search.similarities.DFRSimilarity; //导入依赖的package包/类
/** dfr with parameterized normalization */
public void testParameters() throws Exception {
Similarity sim = getSimilarity("text_params");
assertEquals(DFRSimilarity.class, sim.getClass());
DFRSimilarity dfr = (DFRSimilarity) sim;
assertEquals(BasicModelIF.class, dfr.getBasicModel().getClass());
assertEquals(AfterEffectB.class, dfr.getAfterEffect().getClass());
assertEquals(NormalizationH3.class, dfr.getNormalization().getClass());
NormalizationH3 norm = (NormalizationH3) dfr.getNormalization();
assertEquals(900f, norm.getMu(), 0.01f);
}
示例5: testParameterC
import org.apache.lucene.search.similarities.DFRSimilarity; //导入依赖的package包/类
/** LUCENE-3566 */
public void testParameterC() throws Exception {
Similarity sim = getSimilarity("text_paramc");
assertEquals(DFRSimilarity.class, sim.getClass());
DFRSimilarity dfr = (DFRSimilarity) sim;
assertEquals(BasicModelP.class, dfr.getBasicModel().getClass());
assertEquals(AfterEffectL.class, dfr.getAfterEffect().getClass());
assertEquals(NormalizationH2.class, dfr.getNormalization().getClass());
NormalizationH2 norm = (NormalizationH2) dfr.getNormalization();
assertEquals(7f, norm.getC(), 0.01f);
}
示例6: getSimilarity
import org.apache.lucene.search.similarities.DFRSimilarity; //导入依赖的package包/类
@Override
public Similarity getSimilarity() {
DFRSimilarity sim = new DFRSimilarity(basicModel, afterEffect, normalization);
sim.setDiscountOverlaps(discountOverlaps);
return sim;
}