Amazon SageMaker Model Monitor
GPTKB entity
Statements (33)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
machine learning service feature
|
| gptkbp:announced |
2019
|
| gptkbp:detects |
data quality issues
bias drift feature drift label drift model drift |
| gptkbp:developedBy |
gptkb:Amazon
|
| gptkbp:documentation |
https://docs.aws.amazon.com/sagemaker/latest/dg/model-monitor.html
|
| https://www.w3.org/2000/01/rdf-schema#label |
Amazon SageMaker Model Monitor
|
| gptkbp:integratesWith |
gptkb:Amazon_S3
gptkb:Amazon_SNS gptkb:AWS_Lambda gptkb:Amazon_CloudWatch gptkb:Amazon_SageMaker_Studio |
| gptkbp:output |
alerts
monitoring reports |
| gptkbp:partOf |
gptkb:Amazon_SageMaker
|
| gptkbp:provides |
custom monitoring capabilities
pre-built monitoring capabilities |
| gptkbp:purpose |
monitor machine learning models
detect bias detect data drift detect feature importance changes detect model quality issues |
| gptkbp:regionAvailability |
gptkb:AWS_global_regions
|
| gptkbp:requires |
endpoint
baseline dataset |
| gptkbp:supports |
real-time monitoring
batch monitoring |
| gptkbp:usedFor |
production ML model monitoring
|
| gptkbp:bfsParent |
gptkb:SageMaker_Studio
|
| gptkbp:bfsLayer |
6
|