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                                            Le Yan

Additional documentation of using TFR with keras API

In general, this should be doable. You could: 1. Use the model to estimator pipeline as in [example](https://github.com/tensorflow/ranking/blob/master/tensorflow_ranking/examples/keras/keras_m2e_tfrecord.py). 2. Or inherit or make your own model_builder and override the [create_inputs()](https://github.com/tensorflow/ranking/blob/77f280075e220946d0935b44b64770f4dabb37d0/tensorflow_ranking/python/keras/model.py#L192)...

The keras example "keras_dnn_tfrecord.py" got an tensorflow.python.framework.errors_impl.OperatorNotAllowedInGraphError

Hi Jack, are you just running the `keras_dnn_tfrecord.py` with default parameters? It appears to me a TensorFlow issue. Let me investigate a bit.

Keras model model.predict for batch predictions

Thank you for sharing your issue. This issue is specific to the predict function. There are two quick workarounds if you stick to your model working with full tensors: 1....

Keras Example with custom dataset_reader does not work: tf__parse_from_example_list() got multiple values for argument 'list_size'

@dazcona Thank you for your issue. Based on my reproduce, the error is from the fact that our pipeline works only on the data saved in the ELWC format (treated...