Managing feedback data for Watson OpenScale
You must provide feedback data to Watson OpenScale to enable you to configure quality evaluations and determine any changes in your model predictions.
When you provide feedback data to Watson OpenScale, you can regularly evaluate the accuracy of your model predictions.
Feedback logging
Watson OpenScale stores the feedback data that you provide as records in a feedback logging table. The feedback data that you provide to Watson OpenScale must contain the same structure of feature and prediction columns from your training data. The data must also include the known model outcome. Any columns in feedback data that you provide that are not included in the training data are not processed by Watson OpenScale.
Uploading feedback data
You can use a feedback logging endpoint to upload data for quality evaluations. You can also upload feedback data with a CSV file. For more information, see Sending model transactions.
For pre-production models, you can connect to a CSV file with feedback data that is stored in Cloud Object Storage or Db2. For more information, see Reviewing evaluation results.
Parent topic: Managing data for model evaluations in Watson OpenScale