Re-fit entity matcher model

Creates a new model by re-training an existing model on existing data but with additional true matches. The old model is not changed. The new model gets a new id and new external id if newExternalId is set, or no external id if newExternalId is not set. Use for efficient re-training of the model after a user creates additional confirmed matches.

Securityoidc-token or oauth2-client-credentials or oauth2-open-industrial-data or oauth2-auth-code
Request
Request Body schema: application/json
One of:
id
required
integer <int64> [ 1 .. 9007199254740991 ]

The ID of the original model.

newExternalId
string <= 255 characters

ExternalId for the new refitted model provided by client. Must be unique within the project.

required
Array of objects or objects or objects or objects [ 1 .. 2000000 ] items

List of additional confirmed matches used to train the model. The new model uses a combination of this and trueMatches from the orginal model. If there are identical match-from ids, the pair from the original model is dropped.

sources
Array of objects [ 0 .. 2000000 ] items

List of source entities, for example, time series. If omitted, will use data from fit.

targets
Array of objects [ 1 .. 2000000 ] items

List of target entities, for example, assets. If omitted, will use data from fit.

Responses
200

Success

400

The response for a failed request.

post/context/entitymatching/refit
Request samples
application/json
{
  • "externalId": "my.known.id",
  • "newExternalId": "my.known.id",
  • "trueMatches": [
    • {
      }
    ],
  • "sources": [
    • {
      }
    ],
  • "targets": [
    • {
      }
    ]
}
Response samples
application/json
{
  • "id": 1,
  • "externalId": "my.known.id",
  • "status": "Queued",
  • "createdTime": 0,
  • "startTime": 0,
  • "statusTime": 0,
  • "errorMessage": null,
  • "name": "simple_model_1",
  • "description": "Simple model 1",
  • "featureType": "simple",
  • "matchFields": [
    • {
      },
    • {
      }
    ],
  • "ignoreMissingFields": true,
  • "classifier": "randomforest",
  • "originalId": 111
}