mirror of https://github.com/kubeflow/examples.git
* some mods to accommodate (perhaps temporary) changes in how the kfp sdk works * Use gcs client libs rather than gsutil for a gcs copy; required due to changes in node service account permissions. * more mods to address kfp syntax changes |
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| example_pipelines | ||
| README.md | ||
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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.