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Rebecca McFadden 17ddeb49fb added azure pipeline example 
Co-Authored-By: Mohona Ahmed <t-moahme@microsoft.com>
Co-Authored-By: Maanav Dalal <maanavdalal@gmail.com>
Co-Authored-By: sethjuarez <me@sethjuarez.com>
 		2019-07-17 15:04:04 -07:00
..
components added azure pipeline example 2019-07-17 15:04:04 -07:00
example_pipelines Use the client libs to do a GCS copy instead of gsutil (#558) 2019-05-17 14:00:11 -07:00
README.md import of Pipelines Github issue summarization examples & tutorial (#507) 2019-04-18 17:57:54 -07:00
tutorial.md import of Pipelines Github issue summarization examples & tutorial (#507) 2019-04-18 17:57:54 -07:00

README.md

Kubeflow Pipelines - GitHub Issue Summarization

This Kubeflow Pipelines example shows how to build a web app that summarizes GitHub issues using Kubeflow Pipelines to train and serve a model. The pipeline trains a Tensor2Tensor model on GitHub issue data, learning to predict issue titles from issue bodies. It then exports the trained model and deploys the exported model using Tensorflow Serving. The final step in the pipeline launches a web app, which interacts with the TF-Serving instance in order to get model predictions.

You can follow this example as a codelab: g.co/codelabs/kubecon18.
Or, you can run it as a Cloud shell Tutorial. The source for the Cloud Shell tutorial is here.