Code Production in an AI Company 🌱

  1. Create a new branch of code on your local copy of the machine learning pipeline
  2. Edit the pipeline’s code on this new branch and debug it to make sure the pipeline still works.
  3. Push this branch to github and pull this branch via AWS
  4. Using this updated branch of the pipeline, run the pipeline on a configuration of datasets on AWS and analyze the results in an AWS Jupyter Notebook
  5. Iterate over the changes for this branch by repeating 2-4.
  6. Finally create a pull request for this change to be merged into the pipeline.

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