Learn how and when you should activate “not for training” in order to avoid adding false training data to our machine learning models.
Activate “not for training” to help keep the machine learning models in shape
Learn how and when to activate “not for training” to avoid adding false training data to our machine-learning models.
Whenever you’re about to finish the validation of a document, all fields should be validated properly according to their requirements.
If you’re ever unsure if you’ve fulfilled the requirements of a field, or if you’re working on integration and you intentionally decide to just confirm the results of our extraction without checking them to save some time, you can activate our “not for training” flag.
Once this flag is set, no training export will occur, and no false training data will be delivered to our machine-learning models.