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From the error, I thought the error was due to SageMaker resource limitations.
The following document should be used as a reference to apply for the relaxation of quota limits.
https://repost.aws/knowledge-center/sagemaker-resource-limit-exceeded-error
The following document shows that the default notebook instance of "ml.m4.xlarge" is 0.
So raise the limit as many as you need.
https://docs.aws.amazon.com/general/latest/gr/sagemaker.html
0
What should I do if I have spam messages as my input data? If I convert it to numeric data using a vectorizer, how will my model work if it takes a message as input after deployment?
answered 10 months ago
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That agenda item is not the purpose of this meeting, so I think it would be better to post the question separately.