A repository providing a suggested project structure and simple design pattern for deploying lightweight Scikit-Learn Pipelines as Google Cloud Functions. The example code provided fits a simple Logistic Regression model to predict whether a given patient has heart disease or not. This dataset is taken from Kaggle.
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A repository providing demo code for deploying a lightweight Scikit-Learn based ML pipeline modelling heart disease data as a Google Cloud Function.
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abhimathore/serverless-scikit-learn-demo
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A repository providing demo code for deploying a lightweight Scikit-Learn based ML pipeline modelling heart disease data as a Google Cloud Function.
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- Python 87.6%
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