Exhaustive-Search for best R^2 in Linear Regression Models
Unnecessarily slow, brute-force search method for highest R^2 of (specified or unspecified) Linear Regression Models.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
What things you need to install the software and how to install them
A step by step series of examples that tell you how to get a development env running
Say what the step will be
pip install cavemanstats
End with an example of getting some data out of the system or using it for a little demo
- Geoffrey Kasenbacher - Initial work - PurpleBooth
This project is licensed under the MIT License - see the LICENSE.md file for details
- This is a spawn of the frustration caused by the R-Package leaps
- Tip my fedora to the ascii art creators
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Hashes for cavemanstatistics-0.2-py3-none-any.whl