**Question/Issue: How to setup inference for a Regression Model**

**Project ID: 315617**

**Context/Use case: Trying to run inference on a 5-feature input regression model for local sensor analysis on a Raspberry Pi Pico RP2040. I have ran classification models with no problem by following the tutorials, but I can’t figure out how to inference the regression model. I have deployed the model as a c++ library, but I can’t figure out which functions to use to actually inference the function in my main.cpp file.

In the case of the classification model, I would use the function “run_classifier()” to inference the model. What would be the equivalent function for a regression model?**