The older functions like skflow.TensorFlowDNNClassifier had methods .save and .restore. These were supposedly migrated over to the contrib.learn functions, but there are no longer save and restore methods that I can find. Is there a new protocol for saving the graph and variables with the new contrib.learn package?
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Checkpoints are saved automatically, and if you specify the same directory when you create another Estimator (of the same kind/same parameters), it will load the checkpoints and you can continue training.
There is currently a bug which prevents you from using the restored Estimator for inference without running at least one step of training.
I will close this issue -- for detailed questions, please ask on StackOverflow, we can track questions and answers better over there.