Final project "Deploying a ML Model to Cloud Application Platform with FastAPI" of the Udacity course "Deploying a Scalable ML Pipeline in Production".
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renamed continuous_integration_new.png continuous_integration.png
a1abe7cView on GitHubcommented out model_config = {} in main.py to use class Config as suggested by reviewer
1039037View on GitHubremoved loading model, encoder, and binarizer on API startup again because this caused pytest error
d8a6e5aView on GitHubadded load of model, encoder, and binarizer on API startup as suggested by reviewer
669f255View on GitHubimproved test_train_model.py according to reviewer's suggestion
dd1448fView on GitHubMerge branch 'main' of https://github.com/GritP/DeployMLModel into main
25f4ff2View on GitHubmoved train_model.py and test_train_model.py to root folder to include all tests in GitHub Action
d9565f5View on GitHub