* Update model inference wrapping to use S2I and update docs
* Add s2i reference in docs
* Fix typo highlighted in review
* Add pyLint annotation to allow protected-access on keras make predict function method
* Unify the code for training with Keras and TF.Estimator
Create a single train.py and trainer.py which uses Keras inside TensorFlow
Provide options to either train with Keras or TF.TensorFlow
The code to train with TF.estimator doesn't worki
See #196
The original PR (#203) worked around a blocking issue with Keras and TF.Estimator by commenting
certain layers in the model architecture leading to a model that wouldn't generate meaningful
predictions
We weren't able to get TF.Estimator working but this PR should make it easier to troubleshoot further
We've unified the existing code so that we don't duplicate the code just to train with TF.estimator
We've added unitttests that can be used to verify training with TF.estimator works. This test
can also be used to reproduce the current errors with TF.estimator.
Add a Makefile to build the Docker image
Add a NFS PVC to our Kubeflow demo deployment.
Create a tfjob-estimator component in our ksonnet component.
changes to distributed/train.py as part of merging with notebooks/train.py
* Add command line arguments to specify paths rather than hard coding them.
* Remove the code at the start of train.py to wait until the input data
becomes available.
* I think the original intent was to allow the TFJob to be started simultaneously with the preprocessing
job and just block until the data is available
* That should be unnecessary since we can just run the preprocessing job as a separate job.
Fix notebooks/train.py (#186)
The code wasn't actually calling Model Fit
Add a unittest to verify we can invoke fit and evaluate without throwing exceptions.
* Address comments.
* Add .pylintrc
* Resolve lint complaints in agents/trainer/task.py
* Resolve lint complaints with flask app.py
* Resolve linting issues
Remove duplicate seq2seq_utils.py from workflow/workspace/src
* Use python 3.5.2 with pylint to match prow
Put pybullet import back into agents/trainer/task.py with a pylint ignore statement
Use main(_) to ensure it works with tf.app.run
cliveseldon
Jeremy Lewi
Michelle Casbon
Hamel Husain
Michelle Casbon