A pier-weather spectrogram model already lives in TensorFlow and must keep that graph. Rewriting it as Linear Learner would drop the architecture. Which SageMaker path fits?

Think of a spectrogram already living in TensorFlow. Script mode with the TensorFlow estimator keeps that graph in a supported container. Linear Learner would throw the architecture overboard, and Polly or Fraud Detector never trained that job.