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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 stores it. It is important to send the chosen document type back to the AI engine inform ML Pipeline about this decision in order to improve future predictions by calling this feedback endpoint.

In the JSON request body, following parameters are expected:

• predictionId - id ID returned back by the AI engine when document classification is requestedclassification retrieval endpoints.
• objectTypeId - objectTypeId user chose for the documentID of the object type selected by the user.

Meaning of HTTP status codes:

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

/predict-api/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..."
}