本文整理汇总了Java中org.apache.lucene.search.similarities.NormalizationH3类的典型用法代码示例。如果您正苦于以下问题：Java NormalizationH3类的具体用法？Java NormalizationH3怎么用？Java NormalizationH3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。
NormalizationH3类属于org.apache.lucene.search.similarities包，在下文中一共展示了NormalizationH3类的4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.NormalizationH3; //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: parseNormalization
import org.apache.lucene.search.similarities.NormalizationH3; //导入依赖的package包/类
static Normalization parseNormalization(String expr, String c, String mu, String z) {
if (mu != null && !"H3".equals(expr)) {
throw new RuntimeException(
"parameter mu only makes sense for normalization H3");
}
if (z != null && !"Z".equals(expr)) {
throw new RuntimeException(
"parameter z only makes sense for normalization Z");
}
if (c != null && !("H1".equals(expr) || "H2".equals(expr))) {
throw new RuntimeException(
"parameter c only makese sense for normalizations H1 and H2");
}
if ("H1".equals(expr)) {
return (c != null) ? new NormalizationH1(Float.parseFloat(c))
: new NormalizationH1();
} else if ("H2".equals(expr)) {
return (c != null) ? new NormalizationH2(Float.parseFloat(c))
: new NormalizationH2();
} else if ("H3".equals(expr)) {
return (mu != null) ? new NormalizationH3(Float.parseFloat(mu))
: new NormalizationH3();
} else if ("Z".equals(expr)) {
return (z != null) ? new NormalizationZ(Float.parseFloat(z))
: new NormalizationZ();
} else if ("none".equals(expr)) {
return new Normalization.NoNormalization();
} else {
throw new RuntimeException("Invalid normalization: " + expr);
}
}
示例3: testParameters
import org.apache.lucene.search.similarities.NormalizationH3; //导入依赖的package包/类
/** ll/ttf/h3 with parameterized normalization */
public void testParameters() throws Exception {
Similarity sim = getSimilarity("text_params");
assertEquals(IBSimilarity.class, sim.getClass());
IBSimilarity ib = (IBSimilarity) sim;
assertEquals(DistributionLL.class, ib.getDistribution().getClass());
assertEquals(LambdaTTF.class, ib.getLambda().getClass());
assertEquals(NormalizationH3.class, ib.getNormalization().getClass());
NormalizationH3 norm = (NormalizationH3) ib.getNormalization();
assertEquals(900f, norm.getMu(), 0.01f);
}
示例4: testParameters
import org.apache.lucene.search.similarities.NormalizationH3; //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);
}