Ruby / Cognite API v1 / Create entity matcher model
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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.
# {
# "sources": [
# {},
# {}
# ],
# "targets": [
# {},
# {}
# ],
# "trueMatches": [
# [
# ],
# [
# ]
# ],
# "externalId": "in irure amet",
# "name": "minim",
# "description": "aliqua ipsum culpa eiusmod",
# "featureType": "simple",
# "matchFields": [
# {
# "source": "name",
# "target": "name"
# }
# ],
# "classifier": "randomforest",
# "ignoreMissingFields": false
# }
json = Chilkat::CkJsonObject.new()
json.UpdateNewArray("trueMatches[0].")
json.UpdateNewArray("trueMatches[1].")
json.UpdateString("externalId","in irure amet")
json.UpdateString("name","minim")
json.UpdateString("description","aliqua ipsum culpa eiusmod")
json.UpdateString("featureType","simple")
json.UpdateString("matchFields[0].source","name")
json.UpdateString("matchFields[0].target","name")
json.UpdateString("classifier","randomforest")
json.UpdateBool("ignoreMissingFields",false)
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","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 '{
"sources": [
{},
{}
],
"targets": [
{},
{}
],
"trueMatches": [
[],
[]
],
"externalId": "in irure amet",
"name": "minim",
"description": "aliqua ipsum culpa eiusmod",
"featureType": "simple",
"matchFields": [
{
"source": "name",
"target": "name"
}
],
"classifier": "randomforest",
"ignoreMissingFields": false
}'
https://domain.com/api/v1/projects/{{project}}/context/entitymatching
Postman Collection Item JSON
{
"id": "entityMatchingCreate",
"name": "Create entity matcher model",
"request": {
"url": {
"host": "{{baseUrl}}",
"path": [
"api",
"v1",
"projects",
"{{project}}",
"context",
"entitymatching"
],
"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. Train a model that predicts matches between entities (for example, time series names to asset names). This is also known as fuzzy joining. If there are no trueMatches (labeled data), you train a static (unsupervised) model, otherwise a machine learned (supervised) model is trained.",
"body": {
"mode": "raw",
"raw": "{\n \"sources\": [\n {},\n {}\n ],\n \"targets\": [\n {},\n {}\n ],\n \"trueMatches\": [\n [],\n []\n ],\n \"externalId\": \"in irure amet\",\n \"name\": \"minim\",\n \"description\": \"aliqua ipsum culpa eiusmod\",\n \"featureType\": \"simple\",\n \"matchFields\": [\n {\n \"source\": \"name\",\n \"target\": \"name\"\n }\n ],\n \"classifier\": \"randomforest\",\n \"ignoreMissingFields\": false\n}"
}
}
}