Audience

Developers searching for an advanced Machine Learning solution

About Amazon SageMaker Model Monitor

With Amazon SageMaker Model Monitor, you can select the data you would like to monitor and analyze without the need to write any code. SageMaker Model Monitor lets you select data from a menu of options such as prediction output, and captures metadata such as timestamp, model name, and endpoint so you can analyze model predictions based on the metadata. You can specify the sampling rate of data capture as a percentage of overall traffic in the case of high volume real-time predictions, and the data is stored in your own Amazon S3 bucket. You can also encrypt this data, configure fine-grained security, define data retention policies, and implement access control mechanisms for secure access. Amazon SageMaker Model Monitor offers built-in analysis in the form of statistical rules, to detect drifts in data and model quality. You can also write custom rules and specify thresholds for each rule.

Integrations

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Company Information

Amazon
Founded: 2006
United States
aws.amazon.com/sagemaker/model-monitor/

Videos and Screen Captures

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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

Amazon SageMaker Model Monitor Frequently Asked Questions

Q: What kinds of users and organization types does Amazon SageMaker Model Monitor work with?
Q: What languages does Amazon SageMaker Model Monitor support in their product?
Q: What kind of support options does Amazon SageMaker Model Monitor offer?
Q: What other applications or services does Amazon SageMaker Model Monitor integrate with?
Q: What type of training does Amazon SageMaker Model Monitor provide?

Amazon SageMaker Model Monitor Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Templates
Visualization
Statistical / Mathematical Tools

Amazon SageMaker Model Monitor Additional Categories