Visualising batch transform model monitoring results within sagemaker

Hi,

Following are couple of AWS documentations that addresses the requirement mentioned above without having to configure lambda.

1. Result Visualization https://docs.aws.amazon.com/sagemaker/latest/dg/model-monitor-interpreting-results.html

https://docs.aws.amazon.com/sagemaker/latest/dg/model-monitor-interpreting-visualize-results.html

2. On-Demand Monitoring of Batch Transform Jobs: https://github.com/aws/amazon-sagemaker-examples/blob/main/sagemaker_model_monitor/model_monitor_batch_transform/SageMaker-ModelMonitoring-Batch-Transform-Model-Quality-With-SageMaker-Pipelines-On-Demand.ipynb

Hi Vik,

Thank you for the clarification. Quoting your queries from above questions in highlighted text followed by my response

1. Can we visualise the results within sagemaker like data monitoring on real time endpoints? All examples suggest using a notebook to visualise the results. I don't want to keep running a notebook every time to visualise results. --> With reference to this query, the answer lies in this link - https://docs.aws.amazon.com/sagemaker/latest/dg/model-monitor-interpreting-visualize-results.html however , visualization on batch inferences is not supported as of now using this feature.

2. Can we link the data quality schedule to model for batch transform jobs? Right now the monitoring jobs take batch transform output as input and are not linked to the model in any way. --> Following are couple of reference article and code sample that could help you move needle on this problem https://aws.amazon.com/blogs/machine-learning/create-sagemaker-pipelines-for-training-consuming-and-monitoring-your-batch-use-cases/

https://github.com/aws/amazon-sagemaker-examples/blob/main/sagemaker_model_monitor/model_monitor_batch_transform/SageMaker-ModelMonitoring-Batch-Transform-Model-Quality-With-SageMaker-Pipelines-On-Demand.ipynb

I hope this gives you direction towards your solution.