本文整理汇总了Java中org.apache.lucene.search.similarities.BasicModelBE类的典型用法代码示例。如果您正苦于以下问题:Java BasicModelBE类的具体用法?Java BasicModelBE怎么用?Java BasicModelBE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。
BasicModelBE类属于org.apache.lucene.search.similarities包,在下文中一共展示了BasicModelBE类的2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,您的评价将有助于我们的系统推荐出更棒的Java代码示例。
示例1: parseBasicModel
import org.apache.lucene.search.similarities.BasicModelBE; //导入依赖的package包/类
private BasicModel parseBasicModel(String expr) {
if ("Be".equals(expr)) {
return new BasicModelBE();
} else if ("D".equals(expr)) {
return new BasicModelD();
} else if ("G".equals(expr)) {
return new BasicModelG();
} else if ("I(F)".equals(expr)) {
return new BasicModelIF();
} else if ("I(n)".equals(expr)) {
return new BasicModelIn();
} else if ("I(ne)".equals(expr)) {
return new BasicModelIne();
} else if ("P".equals(expr)) {
return new BasicModelP();
} else {
throw new RuntimeException("Invalid basicModel: " + expr);
}
}
开发者ID:europeana,项目名称:search,代码行数:20,代码来源:DFRSimilarityFactory.java
示例2: setupIndex
import org.apache.lucene.search.similarities.BasicModelBE; //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);
}
开发者ID:o19s,项目名称:elasticsearch-learning-to-rank,代码行数:34,代码来源:LtrQueryTests.java
注:本文中的org.apache.lucene.search.similarities.BasicModelBE类示例整理自Github/MSDocs等源码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。 |
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