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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