## 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](clarify-a2i-arch_v1.jpg)

## Questions

Please contact [@vikeshpandey](https://twitter.com/vikesh_k_pandey) or raise an issue on this repository.

## Security

See [CONTRIBUTING](CONTRIBUTING.md#security-issue-notifications) for more information.

## License

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