* Use the nicer tf.gfile interface for search index creation
* Update documentation and more maintainable interface to search server
* Add ability to control number of outputs
* Serve React UI from the Flask server
* Update Dockerfile for the unified server and ui
* Update to a new dataflow package
* [WIP] updating docstrings, fixing redundancies
* Limit the scope of Github Transform pipeline, make everything unicode
* Add ability to start github pipelines from transformed bigquery dataset
* Upgrade batch prediction pipeline to be modular
* Fix lint errors
* Add write disposition to BigQuery transform
* Update documentation format
* Nicer names for modules
* Add unicode encoding to parsed function docstring tuples
* Use Apache Beam options parser to expose all CLI arguments
* 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.
Sanyam Kapoor