Select the best option below that demonstrates the method that's most commonly used to transfer a model from modeling to deployment within the Machine Learning Workflow .
The model is coded in Predictive Model Markup Language or Portable Format Analytics .
Python model is converted by libraries/methods into code that can be used in the production environment .
The Python model is recoded into the programming language of the production environment .
The model is coded in PMML which can be used by the production environment .
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