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It is important to make the following observation: if we don't provide the Pipeline class, users can still accomplish the same use-cases targeted by Pipeline by explicitly writing the training logic and inference logic separately using Estimator/Transformer APIs. But users would have to write construct this chain of Estimator/Transformer twice (for training and inference respectively).

Public Interfaces

This FLIP proposes quite a few changes and addition to the existing Flink ML APIs. We first describe the proposed API additions and changes, followed by the API code of interfaces and classes after making the proposed changes.

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