本文整理匯總了Golang中github.com/blevesearch/bleve/search.DocumentMatch.Score方法的典型用法代碼示例。如果您正苦於以下問題：Golang DocumentMatch.Score方法的具體用法？Golang DocumentMatch.Score怎麽用？Golang DocumentMatch.Score使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類github.com/blevesearch/bleve/search.DocumentMatch的用法示例。
在下文中一共展示了DocumentMatch.Score方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Golang代碼示例。
示例1: Score
func (s *ConjunctionQueryScorer) Score(constituents []*search.DocumentMatch) *search.DocumentMatch {
rv := search.DocumentMatch{
ID: constituents[0].ID,
}
var sum float64
var childrenExplanations []*search.Explanation
if s.explain {
childrenExplanations = make([]*search.Explanation, len(constituents))
}
locations := []search.FieldTermLocationMap{}
for i, docMatch := range constituents {
sum += docMatch.Score
if s.explain {
childrenExplanations[i] = docMatch.Expl
}
if docMatch.Locations != nil {
locations = append(locations, docMatch.Locations)
}
}
rv.Score = sum
if s.explain {
rv.Expl = &search.Explanation{Value: sum, Message: "sum of:", Children: childrenExplanations}
}
if len(locations) == 1 {
rv.Locations = locations[0]
} else if len(locations) > 1 {
rv.Locations = search.MergeLocations(locations)
}
return &rv
}示例2: Score
func (s *DisjunctionQueryScorer) Score(constituents []*search.DocumentMatch, countMatch, countTotal int) *search.DocumentMatch {
rv := search.DocumentMatch{
ID: constituents[0].ID,
}
var sum float64
var childrenExplanations []*search.Explanation
if s.explain {
childrenExplanations = make([]*search.Explanation, len(constituents))
}
locations := []search.FieldTermLocationMap{}
for i, docMatch := range constituents {
sum += docMatch.Score
if s.explain {
childrenExplanations[i] = docMatch.Expl
}
if docMatch.Locations != nil {
locations = append(locations, docMatch.Locations)
}
}
var rawExpl *search.Explanation
if s.explain {
rawExpl = &search.Explanation{Value: sum, Message: "sum of:", Children: childrenExplanations}
}
coord := float64(countMatch) / float64(countTotal)
rv.Score = sum * coord
if s.explain {
ce := make([]*search.Explanation, 2)
ce[0] = rawExpl
ce[1] = &search.Explanation{Value: coord, Message: fmt.Sprintf("coord(%d/%d)", countMatch, countTotal)}
rv.Expl = &search.Explanation{Value: rv.Score, Message: "product of:", Children: ce}
}
if len(locations) == 1 {
rv.Locations = locations[0]
} else if len(locations) > 1 {
rv.Locations = search.MergeLocations(locations)
}
return &rv
}