I trained a custom classifier with simply two tag in CSV I have feed my custom classification model with 1000 text each
but when I run a job in my custom classification model, the job take ~5 min (running) for analyses one new text, I search about this issue in AWS, but I don't find any answer...
How can I speed up / optimize my job for analysis new text with the model ?
Thank you in advance
Prior to Nov 2019, Comprehend only supported asynchronous inference for Custom classification. Asynchronous inference is optimized for bulk processing.
Comprehend has since launched real-time inference for Custom classification to satisfy the real-time needs of our customers. https://docs.aws.amazon.com/comprehend/latest/dg/custom-sync.html
Note that Custom endpoints are charged by time units even when you're not actively using them. You can also look at the pricing document for details - https://aws.amazon.com/comprehend/pricing/