Back to Collection Items
require 'chilkat'
# This example assumes the Chilkat API to have been previously unlocked.
# See Global Unlock Sample for sample code.
http = Chilkat::CkHttp.new()
# Use this online tool to generate code from sample JSON: Generate Code to Create JSON
# The following JSON is sent in the request body.
# {
# "id": 7134912581187470,
# "sources": [
# {},
# {}
# ],
# "targets": [
# {},
# {}
# ],
# "numMatches": 62,
# "scoreThreshold": 0.8299079579527746
# }
json = Chilkat::CkJsonObject.new()
json.UpdateInt("id",123)
json.UpdateInt("numMatches",62)
json.UpdateNumber("scoreThreshold","0.8299079579527746")
http.SetRequestHeader("content-type","application/json")
http.SetRequestHeader("api-key","{{api-key}}")
# resp is a CkHttpResponse
resp = http.PostJson3("https://domain.com/api/v1/projects/{{project}}/context/entitymatching/predict","application/json",json)
if (http.get_LastMethodSuccess() == false)
print http.lastErrorText() + "\n";
exit
end
print resp.get_StatusCode().to_s() + "\n";
print resp.bodyStr() + "\n";
Curl Command
curl -X POST
-H "api-key: {{api-key}}"
-H "content-type: application/json"
-d '{
"id": 7134912581187470,
"sources": [
{},
{}
],
"targets": [
{},
{}
],
"numMatches": 62,
"scoreThreshold": 0.8299079579527746
}'
https://domain.com/api/v1/projects/{{project}}/context/entitymatching/predict
Postman Collection Item JSON
{
"id": "entityMatchingPredict",
"name": "Predict matches",
"request": {
"url": {
"host": "{{baseUrl}}",
"path": [
"api",
"v1",
"projects",
"{{project}}",
"context",
"entitymatching",
"predict"
],
"query": [
],
"variable": [
]
},
"method": "POST",
"header": [
{
"key": "api-key",
"value": "{{api-key}}",
"description": "An admin can create API keys in the Cognite console."
},
{
"key": "content-type",
"value": "application/json"
}
],
"description": "Note: All users on this CDF subscription with assets read-all and entitymatching read-all and write-all capabilities in the project, are able to access the data sent to this endpoint. Predicts entity matches using a trained model.",
"body": {
"mode": "raw",
"raw": "{\n \"id\": 7134912581187470,\n \"sources\": [\n {},\n {}\n ],\n \"targets\": [\n {},\n {}\n ],\n \"numMatches\": 62,\n \"scoreThreshold\": 0.8299079579527746\n}"
}
}
}