I am looking at AWS Comprehend for a text classification task which will involve an active learning component. I am trying to understand if it's possible to incrementally train a custom comprehend model using batches of newly annotated data, or if it only supports training from scratch. In this blog post it sounds like they are stitching the annotated data back together with the original training data (i.e. retraining from screatch each time), but I don't see the mentioned cloudformation template (part 1 has the template for training/deployment, but part 2 seems to be talking about another template).
Is it possible to do incremental training with Comprehend? Or would I need to use a custom text classification model through SageMaker and then do incremental training that way? I am attempting to do the following
- Get a pretrained model
- Fine tune on own classification data
- Incrementally train on annotated low confidence preditions
1 and 2 can be done with AWS Comprehend, but not sure about 3. Thanks