Skip to content

This repository contains a sample jupyter notebook showing how to use Amazon SageMaker Clarify and Amazon A2I together in a single inference pipeline to improve transparency in machine learning solutions.

License

aws-samples/amazon-sagemaker-clarify-a2i-sample

amazon-sagemaker-clarify-a2i-sample

This repository contains a sample jupyter notebook showing how to use Amazon SageMaker Clarify and Amazon A2I together in a single inference pipeline to improve transparency in machine learning solutions.

The notebook will walk you through a step-by-step process to:

  • Use Amazon SageMaker Clarify for explaining the model predictions using SHAP values
  • Use Amazon A2I to review the individual predictions with the help of SHAP values generated by SageMaker Clarify in the previous step

Below is the architecture diagram of the solution proposed in the notebook. alt text

Questions

Please contact @vikeshpandey or raise an issue on this repository.

Security

See CONTRIBUTING for more information.

License

This library is licensed under the MIT-0 License. See the LICENSE file.

About

This repository contains a sample jupyter notebook showing how to use Amazon SageMaker Clarify and Amazon A2I together in a single inference pipeline to improve transparency in machine learning solutions.

Resources

License

Code of conduct

Security policy

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published