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Each machine learning phase such as data preparation and model training can consist of one or more steps in a Pipeline. We can define getters setters and delete methods with the property function.
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Use a Pipeline to create and manage workflows that stitch together various machine learning phases.
. It has getter setter and delete methods like __get__ __set__ and __delete__ methods. Represents a collection of steps which can be executed as a reusable Azure Machine Learning workflow. For an overview of why and when to use Pipelines.
Class attributes are defined in the class body parts usually at the top.
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