Models

Wiki ▸ Models A model is a self-contained TensorFlow graph with associated data and well-defined run methods. To use a TensorFlow model in a Flink program, define a class representing the model based on one of the below options.

Saved Model

A saved model is one based on the standard TensorFlow export format called 'saved model'. The class to extend is called TensorFlowModel. See HalfPlusTwo for an example.

Generic Model

A generic model is one based on a graph loaded from storage or generated from scratch. See ImageNormalization for an example.