Could provide interface of tensorflow old api rather than use estimator ?

Open svjack opened this issue 7 years ago • 4 comments

I can understand the motivation of use estimator api to standardize the model construct and train methods in configuration, But It may be complicated to debug with estimator api.

Nov 23 '18 08:11 svjack

Can you please give an example of what you would prefer the API to look like? Perhaps the new adanet.AutoEnsembleEstimator may be a better API for your needs? I'm considering a simpler Keras-base API as well. But other options are welcome.

Nov 26 '18 21:11 cweill

https://github.com/tensorflow/estimator/issues/4

Nov 26 '18 22:11 bhack

My understanding is tf.Estimator will continue to be the recommended way to train and serve models in TF 2.0.

Nov 27 '18 03:11 cweill

My understanding is tf.Estimator will continue to be the recommended way to train and serve models in TF 2.0.

yes, for the compatibility conveyed by canned

Nov 27 '18 06:11 svjack