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.
-
Notifications
You must be signed in to change notification settings - Fork 17
A repository providing demo code for deploying a lightweight Scikit-Learn based ML pipeline modelling heart disease data as a Google Cloud Function.
License
markdouthwaite/serverless-scikit-learn-demo
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
A repository providing demo code for deploying a lightweight Scikit-Learn based ML pipeline modelling heart disease data as a Google Cloud Function.
Topics
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published