RegressionVisualization

Regression Visualization is a gradio interface where the user can learn about logistic and linear regression. It utilizes Python, PyTorch, NumPy, and gradio. You can play with the interface here

Getting Started

Dependencies

• Any IDE you know how to use
• Python
• Gradio
• Altair
• Matplotlib
• Numpy
• Pandas

Installing

The easiest ways to install the dependent python packages is to use the "requirments.txt" file. You do this by using the command prompt that aligns with your python environment (making sure you are inside the correct environment) and running the command "pip install -r requirements.txt".

Authors

Christian Cipolletta

Version History

• 4
  • The final interace and the one that is public on Hugging Face.
  • It combines the Altair and MatPlotLib interfaces so that you can choose either package to make the plots.
• 3
  • The basic interface but uses Altair to create the graphs
• 2
  • Adds the ability to make more groups with logistic regression
  • Incomplete
  • Uses MatPlotLib like version 1
• 1
  • Initial Version
  • The basic interface using MatPlotLib to create the graphs

License

This project is licensed under the MIT License - see the LICENSE.md file for details