/// <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);
}