AWS Clarify with a Comprehend model?

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Is it possible to use Clarify for explainability/bias detection on a Comprehend model endpoint?

tyler-h
feita há 2 meses141 visualizações
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Short answer: no.

Long answer: It is currently not possible to use Amazon SageMaker Clarify directly with an Amazon Comprehend model endpoint. Here are a few key points: [1]

  • SageMaker Clarify is designed to work with models that have been built and deployed using SageMaker. It requires access to the model artifacts and metadata to perform its analysis. [2]
  • Comprehend models are pre-built NLP models that are hosted as endpoints separate from SageMaker. There is no access to the underlying model artifacts.
  • However, it may be possible to use Clarify if you first export the Comprehend model to a SageMaker format. You would need to use the Comprehend API to query the model for predictions, save the results, then use those results as input to a SageMaker Clarify job for analysis.
  • Another option would be to build a custom NLP model using SageMaker and the same algorithms/techniques as Comprehend. Then deploy it alongside Clarify for integrated explainability and bias detection.

So in summary, while Clarify can't interface directly with Comprehend endpoints currently, there are some workarounds like exporting predictions or rebuilding the model natively on SageMaker. Let me know if any part needs more explanation or if you have additional questions!

Sources

[1] Bias and Explainability - Machine Learning Best Practices for Public Sector Organizations

[2] Bias Detection and Model Explainability - Amazon SageMaker Clarify

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