How to do linear regression in edge impulse?

I want to do a simple regression model with tabular data with columns being attributes and rows as fields, the data is not in time series format but in a normal tabular format like in CSV. My data has one attribute “X” and the output value “Y” (y = sin(x) for example). How can I achieve this in edge impulse?


Check the project from @mjrovai: TinyML Made Easy: Exploring Regression – White Wine Quality. He explains nicely how you can tackle this type of regression problem. You can also clone the EI project MJRoBot - White Wine Quality Regression.

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