---
title: "Process Models - Regressions!"
slug: 2024-04-03-process-models-regressions
date: 2024-04-03
type: new
tags: ["analysis"]
url: https://invertbio.com/changelog/2024-04-03-process-models-regressions
---

# Process Models - Regressions!

- **Expanded Model Selection**: We've added two more models to our repertoire:
Elastic Net Linear Regression: Combines Ridge and Lasso regularization for a balanced, interpretable model.
Gaussian Process Regressor (GPR): Ideal for understanding uncertainty in predictions, treating each input variable with consideration to their covariance.
- **New Scaling Options**: MinMax and Standard scalers are provided for additional data preprocessing.
- **Interactive Visualization**: Explore the Partial Dependence and Braid plots to better understand the outputs of the model.
- **Prediction for Experimental Design**: Dive into the relationships between process parameters and key performance indicators using your own custom ML prediction model and determine what design space to study next.

[More details available at our help center](http://help.invertbio.com/en/articles/9018202-process-models-updates)