feature request - Layout Aware Custom Classification Example
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- aws, jupyter-notebook
- Domain
- documentation, machine-learning
Research direction
Begin with the linked Amazon Comprehend blog post, the boto3 create_document_classifier reference, and the guidelines-and-limits page. Clarify the SEMI_STRUCTURED_DOCUMENT naming, document the multi-page preparation and quota guidance, and add the requested layout-aware custom classification example once its scope and source notebook are identified.
Written by the indexing model from the issue text.
Description
Context
Questions
-
When using this method: https://boto3.amazonaws.com/v1/documentation/api/1.26.85/reference/services/comprehend/client/create_document_classifier.html
-
Is "SEMI_STRUCTURED_DOCUMENT" equivalent to Native documents, maybe we can call that out, since the naming convention differs from the docs and the console?
vs
https://docs.aws.amazon.com/comprehend/latest/dg/guidelines-and-limits.html -
I have an example showing the preparation work necessary to split up multi-page documents into the single page format, required for context awareness, but are there best practices published handling that "pre-work?"
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Also, are there published best practices to handle the 10,000 "Maximum number of pages across all documents" quota for semi-structured docs?
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Thank you in advance.
- Dominant language
- Jupyter Notebook
- Stars
- 47
- Forks
- 33
- PR merge metrics
- No merged PRs in 30d
Getting set up
- No Dockerfile or Docker Compose file
- No pull request template
- Read the contributing guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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