HybridBackend
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support keras fit history in estimator's train_and_evaluate
User Story
I want to hold a record of the loss values and metric values during training, like keras History object:
https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/History
https://keras.io/guides/training_with_built_in_methods/
Detailed requirements
I have to decide saving or not models depends on it's metrics(maybe lastest one).
API Compatibility
hb.estimator.train_and_evaluate
Willing to contribute
Yes