examples/github_issue_summarization/pipelines
Amy fd7a98fed1
GIS KFP example: kfp-related syntax changes; use gcs client libs instead of gsutil (#749)
* 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
2020-02-24 08:10:48 -08:00
..
components GIS KFP example: kfp-related syntax changes; use gcs client libs instead of gsutil (#749) 2020-02-24 08:10:48 -08:00
example_pipelines GIS KFP example: kfp-related syntax changes; use gcs client libs instead of gsutil (#749) 2020-02-24 08:10:48 -08:00
README.md Update to KFP pipelines codelab code (GH summarization) (#638) 2019-09-19 08:47:00 -07:00
tutorial.md Update to KFP pipelines codelab code (GH summarization) (#638) 2019-09-19 08:47:00 -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/kfp-gis.