/// <summary> /// The phrase suggester adds additional logic on top of the term suggester to select entire corrected phrases /// instead of individual tokens weighted based on ngram-langugage models. /// </summary> public SuggestDescriptor <T> Phrase(string name, Func <PhraseSuggestDescriptor <T>, PhraseSuggestDescriptor <T> > suggest) { name.ThrowIfNullOrEmpty("name"); suggest.ThrowIfNull("suggest"); var desc = new PhraseSuggestDescriptor <T>(); var item = suggest(desc); Self.Suggest.Add(name, item); return(this); }
public SearchDescriptor <T> PhraseSuggest(string name, Func <PhraseSuggestDescriptor <T>, PhraseSuggestDescriptor <T> > suggest) { name.ThrowIfNullOrEmpty("name"); suggest.ThrowIfNull("suggest"); if (this._Suggest == null) { this._Suggest = new Dictionary <string, SuggestDescriptorBucket <T> >(); } PhraseSuggestDescriptor <T> desc = new PhraseSuggestDescriptor <T>(); PhraseSuggestDescriptor <T> item = suggest(desc); SuggestDescriptorBucket <T> bucket = new SuggestDescriptorBucket <T> { _Text = item._Text, PhraseSuggest = item }; this._Suggest.Add(name, bucket); return(this); }
/// <summary> /// The phrase suggester adds additional logic on top of the term suggester to select entire corrected phrases /// instead of individual tokens weighted based on ngram-langugage models. /// </summary> public SearchDescriptor <T> SuggestPhrase(string name, Func <PhraseSuggestDescriptor <T>, PhraseSuggestDescriptor <T> > suggest) { name.ThrowIfNullOrEmpty("name"); suggest.ThrowIfNull("suggest"); if (Self.Suggest == null) { Self.Suggest = new Dictionary <string, ISuggestBucket>(); } var desc = new PhraseSuggestDescriptor <T>(); var item = suggest(desc); IPhraseSuggester i = item; var bucket = new SuggestBucket { Text = i.Text, Phrase = item }; Self.Suggest.Add(name, bucket); return(this); }