mirror of https://github.com/kubeflow/examples.git
6770b4adcc
* Add the web-ui for the mnist example Copy the mnist web app from https://github.com/googlecodelabs/kubeflow-introduction * Update the web app * Change "server-name" argument to "model-name" because this is what is. * Update the prediction client code; The prediction code was copied from https://github.com/googlecodelabs/kubeflow-introduction and that model used slightly different values for the input names and outputs. * Add a test for the mnist_client code; currently it needs to be run manually. * Fix the label selector for the mnist service so that it matches the TFServing deployment. * Delete the old copy of mnist_client.py; we will go with the copy in ewb-ui from https://github.com/googlecodelabs/kubeflow-introduction * Delete model-deploy.yaml, model-train.yaml, and tf-user.yaml. The K8s resources for training and deploying the model are now in ks_app. * Fix tensorboard; tensorboard only partially works behind Ambassador. It seems like some requests don't work behind a reverse proxy. * Fix lint. |
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