* Update tfjob components to v1beta1
Remove old version of tensor2tensor component
* Combine UI into a single jsonnet file
* Upgrade GH issue summarization to kf v0.4.0-rc.2
Use latest ksonnet v0.13.1
Use latest seldon v1alpha2
Remove ksonnet app with full kubeflow platform & replace with components specific to this example.
Remove outdated scripts
Add cluster creation links to Click-to-deploy & kfctl
Add warning not to use the Training with an Estimator guide
Replace commandline with bash for better syntax highlighting
Replace messy port-forwarding commands with svc/ambassador
Add modelUrl param to ui component
Modify teardown instructions to remove the deployment
Fix grammatical mistakes
* Rearrange tfjob instructions
* Add estimator example for github issues
This is code input for doc about writing Keras for tfjob.
There are few todos:
1. bug in dataset injection, can't raise number of steps
2. intead of adding hostpath for data, we should have quick job + pvc
for this
* pyling
* wip
* confirmed working on minikube
* pylint
* remove t2t, add documentation
* add note about storageclass
* fix link
* remove code redundancy
* adress review
* small language fix
* edit TF example readme
* prefix tutorial steps with a number for nicer display in repo
* fix typo
* edit steps 4 and 5
* edit docs
* add navigation and formatting edits to example
* Distributed training using tensor2tensor
* Use a transformer model to train the github issue summarization
problem
* Dockerfile for building training image
* ksonnet component for deploying tfjob
Fixes https://github.com/kubeflow/examples/issues/43
* Fix lint issues
* Github Issue Summarization - Train using TFJob
* Create a Dockerfile to build the image for tf-job
* Create a manifest to deploy the tf-job
* Create instructions on how to do all of this
Fixes https://github.com/kubeflow/examples/issues/43
* Address comments
* Add gcloud commands
* Add ks app
* Update Dockerfile base image
* Python train.py fixes
* Remove tfjob.yaml as it is replaced by ksonnet app
* Remove plot_model_history as it is not required for tfjob training
* Don't change WORKDIR
* Address reviewer comments
* Fix links
* Fix lint issues using yapf
* Sort imports
* Add barebones frontend
Add instructions for querying the trained model via a simple frontend
deployed locally.
* Add instructions for running the ui in-cluster
TODO: Resolve ksonnet namespace collisions for deployed-service
prototype
* Remove reference to running trained model locally
* Create a end-to-end kubeflow example using seq2seq model (4/n)
* Move from a custom tornado server to a seldon-core model
Related to #11
* Update to use gcr.io registry for serving image
Michelle Casbon
Michał Jastrzębski
Puneith Kaul
Carol Willing
Ankush Agarwal
Michelle Casbon