I completely understand, sorry for the inconvenience, however, this is a known limitation as optimizing performance in Azure ML Studio (Classic) isn't supported. We recommend that customers use Designer for advanced capabilities and active updates/improvements for the service. Thanks.
Why does Azure Machine Learning Studio (classic) take additonal time to execute python scripts?
Hi,
I have been working with ML Studio (classic) and facing a problem with "Execute Python" scripts. I have noticed that it takes time to perform some internal tasks after which it starts executing the actual Python code in ML Studio. This delay has caused an increased time of 40-60 seconds per module which is aggregating and causing a delay of 400-500 seconds per execution when consumed through Batch Execution System or on running the experiments manually. (I've multiple Modules of "Execute Python" scripts)
Can you please help understand the reason behind this or any optimization that can be done?
Regards,
Anant