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how does input_fn, predict_fn and output_fn work in aws sagemaker script mode?

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i am trying to understand how input_fn, predict_fn and outout_fn work? I am able to understand what they are, but I am not able to understand how they are called (invoked), can anyone help me understand the same

Sujets
Machine Learning et AIFramework AWS Well-Architected
Balises
Amazon SageMakerMachine Learning et AISécuritéAmazon SageMaker Model Building
Langue
English
rePost-User-8395135
demandé il y a 2 ans2021 vues
1 réponse
1

Hi,

Take a look at this implementation using scikit_learn

They are all implemented as part of the HandlerService object.

  • input_fn for preprocessing when data comes in
  • predict_fn for making a prediction
  • output_fn for postprocessing

Generally, input_fn and output_fn have default implementations provided by SageMaker, but predict_fn does not.

AWS
AWS-User-5132531
répondu il y a 2 ans
  • rePost-User-8395135
    il y a 2 ans

    Hi, thanks for the answer, so it means model_fn needs to be mandatorily implemented (overriden) and we can ignore overriding/defining input_fn, predict_fn and output_fn methods while writing entry point script?

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