本文整理汇总了Java中org.apache.lucene.search.similarities.LambdaDF类的典型用法代码示例。如果您正苦于以下问题：Java LambdaDF类的具体用法？Java LambdaDF怎么用？Java LambdaDF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。
LambdaDF类属于org.apache.lucene.search.similarities包，在下文中一共展示了LambdaDF类的3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: setupIndex
import org.apache.lucene.search.similarities.LambdaDF; //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2: parseLambda
import org.apache.lucene.search.similarities.LambdaDF; //导入依赖的package包/类
private Lambda parseLambda(String expr) {
if ("DF".equals(expr)) {
return new LambdaDF();
} else if ("TTF".equals(expr)) {
return new LambdaTTF();
} else {
throw new RuntimeException("Invalid lambda: " + expr);
}
}
示例3: test
import org.apache.lucene.search.similarities.LambdaDF; //导入依赖的package包/类
/** spl/df/h2 with default parameters */
public void test() throws Exception {
Similarity sim = getSimilarity("text");
assertEquals(IBSimilarity.class, sim.getClass());
IBSimilarity ib = (IBSimilarity) sim;
assertEquals(DistributionSPL.class, ib.getDistribution().getClass());
assertEquals(LambdaDF.class, ib.getLambda().getClass());
assertEquals(NormalizationH2.class, ib.getNormalization().getClass());
}