Hi I am currently working on a small image classification project where the model classifies whether the image contains potholes or not. For this section i have wrote the python script, and this script needs to be triggered at scheduled time. I created a scheduled compute instance but the script doesn't get implemented when the compute instance is running. So i want to know what method should i use to get this sorted.
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Wishva
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i guess this will work https://learn.microsoft.com/en-us/azure/machine-learning/how-to-trigger-published-pipeline – LSeu May 12 '22 at 10:40
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Okay will check it out thank you – Wishva May 12 '22 at 10:43
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Consider working your way through the Azure ML Pipelines guides (see: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-create-machine-learning-pipelines)
Once you have a pipeline you can schedule it using: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-trigger-published-pipeline#create-a-schedule
Grantus
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You shouldn't use compute instances for that - you should package your python code in a pipeline, make sure it is registered in the workspace, and then use the schedule class on that pipeline.
user787267
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