本文整理汇总了Golang中github.com/blevesearch/bleve/search.DocumentMatch.Score方法的典型用法代码示例。如果您正苦于以下问题：Golang DocumentMatch.Score方法的具体用法？Golang DocumentMatch.Score怎么用？Golang DocumentMatch.Score使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类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个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Golang代码示例。
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
}