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model_catalog_examples

README.md

Model Catalog Examples

  • In this directory we have several examples of runtime.yaml and score.py files that can be used to deploy models. There is a wide range of kinds of models including NLP, PyTorch, XGBoost and LighGBM.

  • We also have example notebooks which serve as tutorials to prepare and save different model artifacts and then deploy them as well.

  • It also contains boilerplate code to generate the model artifact. We have provided template score.py and runtime.yaml which user can use and define them accordingly.

  • We also have a tool to run the model introspection tests.

    • These tests run a series of introspection tests on the model artifact before saving the model to the model catalog. The purpose of these tests is to capture many of the common model artifact errors before the model is saved to the model catalog.
    • Introspection tests check score.py for syntax errors, verify the signature of functions load_model() and predict(), and validate the content of runtime.yaml.
    • The introspection tests are present in model_artifact_validate.py. More details are present in README.md.