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I am encountering an issue while running a monitoring pipeline job in Azure Machine Learning. During the "Model Performance - Compute Metrics" step, I receive the following error:

"numpy.core.multiarray failed to import"

I do not have control over the packages that it uses while running this job

I am using this schema for creating the yaml file for setting up the monitoring job in Azure ML studio. The metrices are for Classification problem.You can see the job flow here: Monitoring job flow in Azure ML studio

$schema: .schema.json

In Azure ML documentation also i am not able to find if we can set up a custom environment in the Monitoring job. The monitoring job automatically executes the steps, i only provide what metrices it needs to calculate and the data it requires. Has anyone else experienced a similar problem, and if so, how did you address it?

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