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Hello Norbert,
I believe you are referring here the SageMaker pipelines and how that can be incorporated with the Hyper parameter turning. (Please correct me otherwise.)
Following notebook provides and example of how a Hyperparameter Tuning Job can be run as a step in a SageMaker Pipeline.
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@Shamika-AWS
Again, thanks for your answer, but after study it turns out that you are speaking about "Sagemaker Workflow Pipelines", while I need hyper-parameter tuning for models created via sagemaker.pipeline.ModelPipeline
Do you have any suggestion concerning hyperparameter tuning of modelpipelines?
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Hi thanks for your comment and the link! Yes, we want to combine our own feature extraction algorithm (container based) with a standard classification system, plug them together via a sagemaker pipeline, and the do hyperparameter tuning across the whole.
We will look into the provided sagemaker notebook.
Thanks again
Norbert