Class: Ferret::Search::TermQuery::TermWeight
- Defined in:
- lib/ferret/search/term_query.rb
Instance Attribute Summary collapse
-
#query ⇒ Object
readonly
Returns the value of attribute query.
-
#value ⇒ Object
readonly
Returns the value of attribute value.
Instance Method Summary collapse
- #explain(reader, doc) ⇒ Object
-
#initialize(query, searcher) ⇒ TermWeight
constructor
A new instance of TermWeight.
- #normalize(query_norm) ⇒ Object
- #scorer(reader) ⇒ Object
- #sum_of_squared_weights ⇒ Object
- #to_s ⇒ Object
Constructor Details
#initialize(query, searcher) ⇒ TermWeight
Returns a new instance of TermWeight.
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# File 'lib/ferret/search/term_query.rb', line 11 def initialize(query, searcher) @similarity = query.similarity(searcher) @idf = @similarity.idf(searcher.doc_freq(query.term), searcher.max_doc) # compute idf @query = query @value = 0 end |
Instance Attribute Details
#query ⇒ Object (readonly)
Returns the value of attribute query.
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# File 'lib/ferret/search/term_query.rb', line 9 def query @query end |
#value ⇒ Object (readonly)
Returns the value of attribute value.
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# File 'lib/ferret/search/term_query.rb', line 9 def value @value end |
Instance Method Details
#explain(reader, doc) ⇒ Object
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# File 'lib/ferret/search/term_query.rb', line 41 def explain(reader, doc) explanation = Explanation.new() explanation.description = "weight(#{@query} in #{doc}), product of:" idf_expl = Explanation.new(@idf, "idf(doc_freq=#{reader.doc_freq(@query.term)})") # explain query weight query_expl = Explanation.new(nil, "query_weight(#{@query}), product of:") boost_expl = Explanation.new(@query.boost(), "boost") if (@query.boost() != 1.0) query_expl << boost_expl end query_expl << idf_expl query_norm_expl = Explanation.new(@query_norm||0.0,"query_norm") query_expl << query_norm_expl query_expl.value = boost_expl.value * idf_expl.value * query_norm_expl.value explanation << query_expl # explain field weight field_name = @query.term.field field_expl = Explanation.new() field_expl.description = "field_weight(#{@query.term} in #{doc}), product of:" tf_expl = scorer(reader).explain(doc) field_expl << (tf_expl) field_expl << (idf_expl) field_norms = reader.get_norms(field_name) field_norm = field_norms.nil? ? 0.0 : Similarity.decode_norm(field_norms[doc]) field_norm_expl = Explanation.new(field_norm, "field_norm(field=#{field_name}, doc=#{doc})") field_expl << field_norm_expl field_expl.value = tf_expl.value * idf_expl.value * field_norm_expl.value explanation << field_expl # combine them explanation.value = (query_expl.value * field_expl.value) if (query_expl.value == 1.0) return field_expl end return explanation end |
#normalize(query_norm) ⇒ Object
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# File 'lib/ferret/search/term_query.rb', line 26 def normalize(query_norm) @query_norm = query_norm @query_weight *= query_norm # normalize query weight @value = @query_weight * @idf # idf for document end |
#scorer(reader) ⇒ Object
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# File 'lib/ferret/search/term_query.rb', line 32 def scorer(reader) term_docs = reader.term_docs_for(@query.term) return nil if term_docs.nil? return TermScorer.new(self, term_docs, @similarity, reader.get_norms(@query.term.field)) end |
#sum_of_squared_weights ⇒ Object
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# File 'lib/ferret/search/term_query.rb', line 21 def sum_of_squared_weights() @query_weight = @idf * @query.boost() # compute query weight return @query_weight * @query_weight # square it end |
#to_s ⇒ Object
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# File 'lib/ferret/search/term_query.rb', line 19 def to_s() return "TermWeight(#{@value})"; end |