Coactive · Schema

CreateConceptRequest

An object used to create a concept in Coactive's system

CompanyArtificial IntelligenceMultimodal AIComputer VisionVideo IntelligenceImage SearchContent IntelligenceSemantic SearchContextual AdvertisingMetadataMachine LearningMedia

Properties

Name Type Description
name string The name of the concept, which will become available as the column name in SQL
description stringnull A description for the concept
threshold numbernull Threshold above which classification is positive
regularization numbernull How strongly the model adapts to the training labels. Regularization strength. Lower value means the model fits more heavily to the training data
datasetId string The id of the dataset
View JSON Schema on GitHub

JSON Schema

coactive-create-concept-request-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://raw.githubusercontent.com/api-evangelist/coactive/main/json-schema/coactive-create-concept-request-schema.json",
  "title": "CreateConceptRequest",
  "description": "An object used to create a concept in Coactive's system",
  "x-generated": "2026-10-20",
  "x-method": "derived",
  "x-generator": "derive-json-schema.py",
  "x-source": "openapi/coactive-concept-api-openapi.yml#/components/schemas/CreateConceptRequest",
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "description": "The name of the concept, which will become available as the column name in SQL"
    },
    "description": {
      "type": [
        "string",
        "null"
      ],
      "description": "A description for the concept"
    },
    "threshold": {
      "type": [
        "number",
        "null"
      ],
      "format": "double",
      "default": 0.8,
      "description": "Threshold above which classification is positive"
    },
    "regularization": {
      "type": [
        "number",
        "null"
      ],
      "format": "double",
      "default": 0.0625,
      "description": "How strongly the model adapts to the training labels. Regularization strength. Lower value means the model fits more heavily to the training data"
    },
    "datasetId": {
      "type": "string",
      "format": "uuid4",
      "description": "The id of the dataset"
    }
  },
  "required": [
    "name",
    "datasetId"
  ]
}

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