public MoreLikeThis(IndexReader ir, TFIDFSimilarity sim)
{
this.ir = ir;
this.Similarity = sim;
// LUCENENET specific: Set Defaults
StopWords = DEFAULT_STOP_WORDS;
MinTermFreq = DEFAULT_MIN_TERM_FREQ;
MinDocFreq = DEFAULT_MIN_DOC_FREQ;
MaxDocFreq = DEFAULT_MAX_DOC_FREQ;
ApplyBoost = DEFAULT_BOOST;
FieldNames = DEFAULT_FIELD_NAMES;
MaxNumTokensParsed = DEFAULT_MAX_NUM_TOKENS_PARSED;
MinWordLen = DEFAULT_MIN_WORD_LENGTH;
MaxWordLen = DEFAULT_MAX_WORD_LENGTH;
MaxQueryTerms = DEFAULT_MAX_QUERY_TERMS;
}
public override FunctionValues GetValues(IDictionary context, AtomicReaderContext readerContext)
{
var searcher = (IndexSearcher)context["searcher"];
TFIDFSimilarity similarity = IDFValueSource.AsTFIDF(searcher.Similarity, m_field);
if (similarity == null)
{
throw new NotSupportedException("requires a TFIDFSimilarity (such as DefaultSimilarity)");
}
NumericDocValues norms = readerContext.AtomicReader.GetNormValues(m_field);
if (norms == null)
{
return(new ConstDoubleDocValues(0.0, this));
}
return(new SingleDocValuesAnonymousInnerClassHelper(this, this, similarity, norms));
}
public void TestHyperbolicSweetSpot()
{
SweetSpotSimilarity ss = new HyperbolicSweetSpotSimilarityHelper();
ss.SetHyperbolicTfFactors(3.3f, 7.7f, Math.E, 5.0f);
TFIDFSimilarity s = ss;
for (int i = 1; i <= 1000; i++)
{
assertTrue("MIN tf: i=" + i + " : s=" + s.Tf(i),
3.3f <= s.Tf(i));
assertTrue("MAX tf: i=" + i + " : s=" + s.Tf(i),
s.Tf(i) <= 7.7f);
}
assertEquals("MID tf", 3.3f + (7.7f - 3.3f) / 2.0f, s.Tf(5), 0.00001f);
// stupidity
assertEquals("tf zero", 0.0f, s.Tf(0), 0.0f);
}
public SingleDocValuesAnonymousInnerClassHelper(NormValueSource outerInstance, NormValueSource @this, TFIDFSimilarity similarity, NumericDocValues norms)
: base(@this)
{
this.outerInstance = outerInstance;
this.similarity = similarity;
this.norms = norms;
}
public SingleDocValuesAnonymousInnerClassHelper(TFValueSource outerInstance, TFValueSource @this, Terms terms, TFIDFSimilarity similarity)
: base(@this)
{
this.outerInstance = outerInstance;
this.terms = terms;
this.similarity = similarity;
lastDocRequested = -1;
Reset();
}
public SingleDocValuesAnonymousClass(NormValueSource @this, TFIDFSimilarity similarity, NumericDocValues norms)
: base(@this)
{
this.similarity = similarity;
this.norms = norms;
}
