Hi, Are There Any Examples To Elaborate On

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Hi, are there any examples to elaborate on how Allegro Trains can help with ML Pipeline Deployment, Monitoring, and Triggers for continuous learning in MLOps? I can understand how helpful Trains is in terms of experiment management.

  				
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	3 years ago

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					SquareFish25
				
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There's also a blog post 🙂
https://medium.com/pytorch/accelerate-your-hyperparameter-optimization-with-pytorchs-ecosystem-tools-bc17001b9a49

  				
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	3 years ago

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					AnxiousSeal95
				
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Hi SquareFish25
Sure, here are a few:
HPO
https://github.com/allegroai/trains/blob/master/examples/optimization/hyper-parameter-optimization/hyper_parameter_optimizer.py
Pipeline
https://github.com/allegroai/trains/blob/master/examples/pipeline/pipeline_controller.py
Automation:
https://github.com/allegroai/trains/blob/master/examples/automation/task_piping_example.py

  				
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	3 years ago

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					AgitatedDove14
				
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HI SquareFish25 , We also have a few webinars discussing these topics (more theoretical and what can be achieved using pipelines), check https://youtu.be/_5Re2GpcRp8 and https://youtu.be/yGg-exQHUfE out!

  				
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	3 years ago

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					AnxiousSeal95
				
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