I am using an AutoML Natural Language model to classify articles into different categories on Google cloud. Is there a way to continuously train this model with new data so that it can improve itself?
Or do I have to train a new model after some time with new data manually and then replace the current model with it?
I was looking for this option too, unfortunately Google doesn't provide such an option. All I could find is the option of retraining the model as a new version of the existing one (with new or added data), and compare their results.