Comment

Comment by aaron-santos

What didn't work:

Shipping pickled models to other teams.

Deploying Sagemaker endpoints (too costly).

Requiring editing of config files to deploy endpoints.

What did work:

Shipping http endpoints.

Deriving api documentation from model docstrings.

Deploying lambdas (less costly than Sagemaker endpoints).

Writing a ~150 line python script to pickle the model, save a requirements.txt, some api metadata, and test input/output data.

Continuous deployment (after model is saved no manual intervention if model response matches output data).

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