Documentation
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Overview ¶
Package similarity provides text similarity and clustering utilities.
Index ¶
- func ClusterObservations(observations []*models.Observation, similarityThreshold float64) []*models.Observation
- func ExtractObservationTerms(obs *models.Observation) map[string]bool
- func IsSimilarToAny(newObs *models.Observation, existing []*models.Observation, ...) bool
- func JaccardSimilarity(set1, set2 map[string]bool) float64
Constants ¶
This section is empty.
Variables ¶
This section is empty.
Functions ¶
func ClusterObservations ¶
func ClusterObservations(observations []*models.Observation, similarityThreshold float64) []*models.Observation
ClusterObservations groups similar observations and returns only one representative per cluster. Uses Jaccard similarity on extracted terms from title, narrative, and facts. Observations should be sorted by preference (e.g., recency) - first one in each cluster is kept.
func ExtractObservationTerms ¶
func ExtractObservationTerms(obs *models.Observation) map[string]bool
ExtractObservationTerms extracts meaningful terms from an observation for similarity comparison.
func IsSimilarToAny ¶
func IsSimilarToAny(newObs *models.Observation, existing []*models.Observation, similarityThreshold float64) bool
IsSimilarToAny checks if a new observation is similar to any existing observation. Returns true if similarity to any existing observation exceeds the threshold.
func JaccardSimilarity ¶
JaccardSimilarity calculates the Jaccard similarity between two term sets. Returns a value between 0 (no overlap) and 1 (identical).
Types ¶
This section is empty.
Source Files