An object which defines the resolutionType and the ruleBasedProperties
Type: objectProperties: 2
Amazon Web ServicesData IntegrationData MatchingEntity ResolutionMachine-Learning
ResolutionTechniques is a JSON Structure definition published by Amazon Entity Resolution, describing 2 properties. It conforms to the https://json-structure.org/meta/core/v0/# meta-schema.
{
"$schema": "https://json-structure.org/meta/core/v0/#",
"$id": "https://raw.githubusercontent.com/api-evangelist/amazon-entity-resolution/refs/heads/main/json-structure/amazon-entity-resolution-resolution-techniques-structure.json",
"name": "ResolutionTechniques",
"description": "An object which defines the <code>resolutionType</code> and the <code>ruleBasedProperties</code> ",
"type": "object",
"properties": {
"resolutionType": {
"allOf": [
{
"$ref": "#/components/schemas/ResolutionType"
},
{
"description": "There are two types of matching, <code>RULE_MATCHING</code> and <code>ML_MATCHING</code> "
}
]
},
"ruleBasedProperties": {
"allOf": [
{
"$ref": "#/components/schemas/RuleBasedProperties"
},
{
"description": "An object which defines the list of matching rules to run and has a field <code>Rules</code>, which is a list of rule objects."
}
]
}
}
}
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