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Describe the bug
The base_job_name parameter specified in the DefaultModelMonitor is not being used to name the processing jobs created by the monitoring schedule.
To reproduce
Steps to reproduce the behavior:
Initialize a DefaultModelMonitor with base_job_name parameter.
Create a monitoring schedule.
Observe that the processing jobs do not use the specified base_job_name.
Expected behavior
The processing jobs created by the monitoring schedule should use the base_job_name specified in the DefaultModelMonitor.
Screenshots or logs
This is the Processing Job that is created by the Model Monitoring Schedule, and it's clear that it's not using the 'base_job_name'.
System information
A description of your system. Please provide:
SageMaker Python SDK version: 2.221.1
Framework name (eg. PyTorch) or algorithm (eg. KMeans): Scikit-learn
Framework version: 0.23-1
Python version: 3.10.14
CPU or GPU: CPU
Custom Docker image (Y/N): N
Additional context
Add any other context about the problem here.
The text was updated successfully, but these errors were encountered:
Describe the bug
The
base_job_name
parameter specified in theDefaultModelMonitor
is not being used to name the processing jobs created by the monitoring schedule.To reproduce
Steps to reproduce the behavior:
DefaultModelMonitor
withbase_job_name
parameter.base_job_name
.Expected behavior
The processing jobs created by the monitoring schedule should use the
base_job_name
specified in theDefaultModelMonitor
.Screenshots or logs
This is the Processing Job that is created by the Model Monitoring Schedule, and it's clear that it's not using the 'base_job_name'.
System information
A description of your system. Please provide:
Additional context
Add any other context about the problem here.
The text was updated successfully, but these errors were encountered: