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gptkbp:instanceOf
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machine learning service feature
|
|
gptkbp:accessibleBy
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gptkb:AWS_CLI
gptkb:AWS_SDK
gptkb:SageMaker_Python_SDK
|
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gptkbp:alerting
|
gptkb:CloudWatch_alarms
|
|
gptkbp:canBe
|
custom monitoring schedules
|
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gptkbp:developedBy
|
gptkb:Amazon
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gptkbp:documentation
|
https://docs.aws.amazon.com/sagemaker/latest/dg/model-monitor.html
|
|
gptkbp:feature
|
bias detection
automated data drift detection
feature importance monitoring
model quality monitoring
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
SageMaker Model Monitor
|
|
gptkbp:integratesWith
|
gptkb:Amazon_S3
gptkb:Amazon_CloudWatch
gptkb:Amazon_SageMaker_Studio
|
|
gptkbp:launched
|
2019
|
|
gptkbp:output
|
CloudWatch metrics
monitoring reports
|
|
gptkbp:partOf
|
gptkb:Amazon_SageMaker
|
|
gptkbp:purpose
|
monitor machine learning models in production
|
|
gptkbp:requires
|
baseline dataset
|
|
gptkbp:supports
|
batch transform jobs
real-time endpoints
|
|
gptkbp:usedFor
|
gptkb:legislation
detecting data quality issues
detecting model performance degradation
|
|
gptkbp:bfsParent
|
gptkb:AWS_SageMaker
gptkb:SageMaker
|
|
gptkbp:bfsLayer
|
6
|