Databricks Community

BeardyMan · 09-14-2021

When using Azure Databricks and serving a model, we have received requests to capture additional logging. In some instances, they would like to capture input and output or even some of the steps from a pipeline. Is there any way we can extend the lo...

BeardyMan · 09-15-2021

Thank you, Dan. We had originally suggested the route of using azure api manager or using an azure function as like an api wrapper to do the logging we want and the forwarding on the call to the mlfmow model serve rest endpoint. I was just wondering ...

BeardyMan · 09-14-2021

Thank you @Chenran Li the example is exceedingly helpful. I will be sure to try this out!

BeardyMan · 09-14-2021

Thank you for the clarification, I understand what you mean now and that's exactly what I was hoping for! 

BeardyMan · 09-14-2021

Do you mean to use azure functions and custom python code to call the model and then perform the logging required rather than using the mlflow serve capability and the managed rest endpoint?

BeardyMan · 09-14-2021

Unfortunately we came across this same issue. We were trying to use MLFlow Serve to produce an API that could take text input and pass it through some NLP. In this instance we had installed a maven package on the cluster, so the experiment would run ...

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