CODEWITHSUNDEEP
amazon-web-servicesjobsamazon-comprehend
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Reputation: 163

how to increase performance in aws comprehend on custom classification

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

Upvotes: 0

Views: 903

Answers (1)

abhinavatAWS
abhinavatAWS

Reputation: 111

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/

Upvotes: 1

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