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Is There Some Example Of How To Develop A Hpo In A Pipeline Setup Where Each Hyperparameter Setup Is Each Own Step Again? Should We First Mimick A Base Task For Example?

Is there some example of how to develop a HPO in a pipeline setup where each hyperparameter setup is each own step again? Should we first mimick a base task for example?

  
  
Posted 11 months ago
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Hi @<1577468611524562944:profile|MagnificentBear85> , can you please elaborate a bit on how exactly you want to stricture this?

  
  
Posted 11 months ago

Thanks for responding quickly. For this specific use case I need a regression sklearn model (trained in 10-fold CV) that I want to hyperoptimize using optuna. As my datasets are updated regularly, I'd like to define all of this in a pipeline such that I can easily run everything again once the data is changed.

  
  
Posted 11 months ago

Does that make sense?

  
  
Posted 11 months ago

I'm now thinking I need some main process that runs first a base_template task such that all gets initialized well. In the same process start the HPO which will add subtasks to the queue. This main process (also a task) will then wait until all other tasks (i.e. hyperparameter setups) have completed before wrapping up and reporting back.

  
  
Posted 11 months ago
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