This will prevent the classification database from growing so large that manual intervention is required. Without this, continually classifying items will eventually grow the training data to the point where it is very computationally expensive to train and classify.
This will prevent the classification database from growing so large that manual intervention is required. Without this, continually classifying items will eventually grow the training data to the point where it is very computationally expensive to train and classify.