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After classification is done and predicted document types are shown to the user, the user decides which one is the actual type and store it. It is important to send the chosen document type back to the AI engine in order to improve future predictions by calling this feedback endpoint.

• predictionId - id returned back by the AI engine when document classification is requested
• objectTypeId - objectTypeId user chose for the document

Meaning of HTTP status codes:

HTTP Status Code	Description
200 OK	OK
400 Bad Request	Request is bad.
404 Not Found	Schema is not defined for these parameters. Specified predictionId was not found.
500 Internal Server Error	Error while getting status informationstoring feedback.

If an error is thrown, it will be a JSON structure returned as response body.

/predict/classification/feedback

{
   "properties": {
      "predictionId": {
          "value":473       
      },
      "feedbackData":{
          "objectTypeId": {
              "value": "Rechnung"          
          }
      }
   }
}

(1) Successful

200 OK

(2) Not succelful:

400 Not Found

{
    "statusCode": 400,
    "timestamp": "2020-12-25T09:42:33.386+00:00",
    "message": "JSON parse error: Unrecognized field \"objectTyyyyypeId\" (class com.os.ai.predict.domain.classification.ClassificationFeedbackRequestData), not marked as ignorable..."
}