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// _ _
// __ _____ __ ___ ___ __ _| |_ ___
// \ \ /\ / / _ \/ _` \ \ / / |/ _` | __/ _ \
// \ V V / __/ (_| |\ V /| | (_| | || __/
// \_/\_/ \___|\__,_| \_/ |_|\__,_|\__\___|
//
// Copyright © 2016 - 2024 Weaviate B.V. All rights reserved.
//
// CONTACT: [email protected]
//
package classification
import "github.com/weaviate/weaviate/entities/models"
// NeighborRefDistances include various distances about the winning and losing
// groups (knn)
type NeighborRefDistances struct {
ClosestOverallDistance float32
// Winning
ClosestWinningDistance float32
MeanWinningDistance float32
// Losing (optional)
MeanLosingDistance *float32
ClosestLosingDistance *float32
}
func (r NeighborRef) Meta() *models.ReferenceMetaClassification {
out := &models.ReferenceMetaClassification{
OverallCount: int64(r.OverallCount),
WinningCount: int64(r.WinningCount),
LosingCount: int64(r.LosingCount),
ClosestOverallDistance: float64(r.Distances.ClosestOverallDistance),
WinningDistance: float64(r.Distances.MeanWinningDistance), // deprecated, remove in 0.23.0
MeanWinningDistance: float64(r.Distances.MeanWinningDistance),
ClosestWinningDistance: float64(r.Distances.ClosestWinningDistance),
}
if r.Distances.MeanLosingDistance != nil {
out.MeanLosingDistance = ptFloat64(float64(*r.Distances.MeanLosingDistance))
out.LosingDistance = ptFloat64(float64(*r.Distances.MeanLosingDistance)) // deprecated
}
if r.Distances.ClosestLosingDistance != nil {
out.ClosestLosingDistance = ptFloat64(float64(*r.Distances.ClosestLosingDistance))
}
return out
}
func ptFloat64(in float64) *float64 {
return &in
}
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