Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models-Reference-Cited by-同舟云学术

Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models

Published:2022-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
language:
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Author:

Nigenda David¹,Karnin Zohar²,Zafar Muhammad Bilal³,Ramesha Raghu⁴,Tan Alan⁵,Donini Michele⁴,Kenthapadi Krishnaram⁶

Affiliation:

1. Amazon AWS AI, Seattle, WA, USA

2. Amazon AWS AI, Haifa, Israel

3. Amazon AWS AI, Berlin, Germany

4. Amazon AWS AI, Santa Clara, CA, USA

5. Amazon AWS AI, Vancouver, Canada

6. Fiddler AI, Palo Alto, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539145

Reference36 articles.

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3. SM Clarify. 2021. Create Feature Attribute Baselines and Explainability Reports. https://docs.aws.amazon.com/sagemaker/latest/dg/clarify-featureattribute-baselines-reports.html Accessed: 2022-02. SM Clarify. 2021. Create Feature Attribute Baselines and Explainability Reports. https://docs.aws.amazon.com/sagemaker/latest/dg/clarify-featureattribute-baselines-reports.html Accessed: 2022-02.

4. Graham Cormode Zohar Karnin Edo Liberty Justin Thaler and Pavel Vesel Graham Cormode Zohar Karnin Edo Liberty Justin Thaler and Pavel Vesel

5. y. 2021. Relative Error Streaming Quantiles. In PODS. y. 2021. Relative Error Streaming Quantiles. In PODS.

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