Weaviate · Schema

ReferenceMetaClassification

This meta field contains additional info about the classified reference property

Vector DatabaseAIMachine LearningSemantic SearchOpen SourceGraphQLKubernetes

Properties

Name Type Description
overallCount number overall neighbors checked as part of the classification. In most cases this will equal k, but could be lower than k - for example if not enough data was present
winningCount number size of the winning group, a number between 1..k
losingCount number size of the losing group, can be 0 if the winning group size equals k
closestOverallDistance number The lowest distance of any neighbor, regardless of whether they were in the winning or losing group
winningDistance number deprecated - do not use, to be removed in 0.23.0
meanWinningDistance number Mean distance of all neighbors from the winning group
closestWinningDistance number Closest distance of a neighbor from the winning group
closestLosingDistance number The lowest distance of a neighbor in the losing group. Optional. If k equals the size of the winning group, there is no losing group
losingDistance number deprecated - do not use, to be removed in 0.23.0
meanLosingDistance number Mean distance of all neighbors from the losing group. Optional. If k equals the size of the winning group, there is no losing group.
View JSON Schema on GitHub

JSON Schema

weaviate-reference-meta-classification-schema.json Raw ↑ 
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://api-evangelist.github.io/weaviate/json-schema/weaviate-reference-meta-classification-schema.json",
  "title": "ReferenceMetaClassification",
  "description": "This meta field contains additional info about the classified reference property",
  "type": "object",
  "properties": {
    "overallCount": {
      "type": "number",
      "format": "int64",
      "description": "overall neighbors checked as part of the classification. In most cases this will equal k, but could be lower than k - for example if not enough data was present"
    },
    "winningCount": {
      "type": "number",
      "format": "int64",
      "description": "size of the winning group, a number between 1..k"
    },
    "losingCount": {
      "type": "number",
      "format": "int64",
      "description": "size of the losing group, can be 0 if the winning group size equals k"
    },
    "closestOverallDistance": {
      "type": "number",
      "format": "float32",
      "description": "The lowest distance of any neighbor, regardless of whether they were in the winning or losing group"
    },
    "winningDistance": {
      "type": "number",
      "format": "float32",
      "description": "deprecated - do not use, to be removed in 0.23.0"
    },
    "meanWinningDistance": {
      "type": "number",
      "format": "float32",
      "description": "Mean distance of all neighbors from the winning group"
    },
    "closestWinningDistance": {
      "type": "number",
      "format": "float32",
      "description": "Closest distance of a neighbor from the winning group"
    },
    "closestLosingDistance": {
      "type": "number",
      "format": "float32",
      "description": "The lowest distance of a neighbor in the losing group. Optional. If k equals the size of the winning group, there is no losing group"
    },
    "losingDistance": {
      "type": "number",
      "format": "float32",
      "description": "deprecated - do not use, to be removed in 0.23.0"
    },
    "meanLosingDistance": {
      "type": "number",
      "format": "float32",
      "description": "Mean distance of all neighbors from the losing group. Optional. If k equals the size of the winning group, there is no losing group."
    }
  }
}