examples/github_issue_summarization/pipelines
Jin Chi He cfe166f73f update to kubeflow-metadata in examples (#646) 2019-09-26 16:13:34 -07:00
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components update to kubeflow-metadata in examples (#646) 2019-09-26 16:13:34 -07:00
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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/kfp-gis.