本文整理汇总了C#中Lucene.Net.Index.IndexReader.NumDocs方法的典型用法代码示例。如果您正苦于以下问题:C# Lucene.Net.Index.IndexReader.NumDocs方法的具体用法?C# Lucene.Net.Index.IndexReader.NumDocs怎么用?C# Lucene.Net.Index.IndexReader.NumDocs使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Lucene.Net.Index.IndexReader
的用法示例。
在下文中一共展示了Lucene.Net.Index.IndexReader.NumDocs方法的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,您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: GetIdfWeightedTerms
/// <summary> Extracts all terms texts of a given Query into an array of WeightedTerms
///
/// </summary>
/// <param name="query"> Query to extract term texts from
/// </param>
/// <param name="reader">used to compute IDF which can be used to a) score selected fragments better
/// b) use graded highlights eg chaning intensity of font color
/// </param>
/// <param name="fieldName">the field on which Inverse Document Frequency (IDF) calculations are based
/// </param>
/// <returns> an array of the terms used in a query, plus their weights.
/// </returns>
public static WeightedTerm[] GetIdfWeightedTerms(Query query, IndexReader reader, System.String fieldName)
{
WeightedTerm[] terms = GetTerms(query, false, fieldName);
int totalNumDocs = reader.NumDocs();
for (int i = 0; i < terms.Length; i++)
{
try
{
int docFreq = reader.DocFreq(new Term(fieldName, terms[i].term));
//IDF algorithm taken from DefaultSimilarity class
float idf = (float) (System.Math.Log((float) totalNumDocs / (double) (docFreq + 1)) + 1.0);
terms[i].weight *= idf;
}
catch (System.IO.IOException e)
{
//ignore
}
}
return terms;
}
示例2: Explain
public virtual Explanation Explain(IndexReader reader, int doc)
{
ComplexExplanation result = new ComplexExplanation();
result.SetDescription("weight(" + GetQuery() + " in " + doc + "), product of:");
Explanation idfExpl = new Explanation(idf, "idf(docFreq=" + reader.DocFreq(Enclosing_Instance.term) + ", numDocs=" + reader.NumDocs() + ")");
// explain query weight
Explanation queryExpl = new Explanation();
queryExpl.SetDescription("queryWeight(" + GetQuery() + "), product of:");
Explanation boostExpl = new Explanation(Enclosing_Instance.GetBoost(), "boost");
if (Enclosing_Instance.GetBoost() != 1.0f)
queryExpl.AddDetail(boostExpl);
queryExpl.AddDetail(idfExpl);
Explanation queryNormExpl = new Explanation(queryNorm, "queryNorm");
queryExpl.AddDetail(queryNormExpl);
queryExpl.SetValue(boostExpl.GetValue() * idfExpl.GetValue() * queryNormExpl.GetValue());
result.AddDetail(queryExpl);
// explain field weight
System.String field = Enclosing_Instance.term.Field();
ComplexExplanation fieldExpl = new ComplexExplanation();
fieldExpl.SetDescription("fieldWeight(" + Enclosing_Instance.term + " in " + doc + "), product of:");
Explanation tfExpl = Scorer(reader).Explain(doc);
fieldExpl.AddDetail(tfExpl);
fieldExpl.AddDetail(idfExpl);
Explanation fieldNormExpl = new Explanation();
byte[] fieldNorms = reader.Norms(field);
float fieldNorm = fieldNorms != null ? Similarity.DecodeNorm(fieldNorms[doc]) : 0.0f;
fieldNormExpl.SetValue(fieldNorm);
fieldNormExpl.SetDescription("fieldNorm(field=" + field + ", doc=" + doc + ")");
fieldExpl.AddDetail(fieldNormExpl);
fieldExpl.SetMatch(tfExpl.IsMatch());
fieldExpl.SetValue(tfExpl.GetValue() * idfExpl.GetValue() * fieldNormExpl.GetValue());
result.AddDetail(fieldExpl);
System.Boolean tempAux = fieldExpl.GetMatch();
result.SetMatch(tempAux);
// combine them
result.SetValue(queryExpl.GetValue() * fieldExpl.GetValue());
if (queryExpl.GetValue() == 1.0f)
return fieldExpl;
return result;
}