mirror of https://github.com/kubeflow/examples.git
* Refactor the dataflow package * Create placeholder for new prediction pipeline * [WIP] add dofn for encoding * Merge all modules under single package * Pipeline data flow complete, wip prediction values * Fallback to custom commands for extra dependency * Working Dataflow runner installs, separate docker-related folder * [WIP] Updated local user journey in README, fully working commands, easy container translation * Working Batch Predictions. * Remove docstring embeddings * Complete batch prediction pipeline * Update Dockerfiles and T2T Ksonnet components * Fix linting * Downgrade runtime to Python2, wip memory issues so use lesser data * Pin master to index 0. * Working batch prediction pipeline * Modular Github Batch Prediction Pipeline, stores back to BigQuery * Fix lint errors * Fix module-wide imports, pin batch-prediction version * Fix relative import, update docstrings * Add references to issue and current workaround for Batch Prediction dependency. |
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