Metadata-Version: 2.1
Name: cavemanstatistics
Version: 0.2
Summary: Exhaustive-Search for best R^2 in Linear Regression Models
Home-page: https://github.com/kgeoffrey/cavemanstats
Author: Geoffrey Kasenbacher
Author-email: gkasenbacher@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: tabulate
Requires-Dist: scipy

![Kiku](Images/spongegar.png)

# cavemanstats!

Unnecessarily slow, brute-force search method for highest R^2 of (specified or unspecified) Linear Regression Models. 

## Getting Started

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.

### Prerequisites

What things you need to install the software and how to install them

```
Give examples
```

### Installing

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

## Built With

* [Dropwizard](http://www.dropwizard.io/1.0.2/docs/) - The web framework used
* [Maven](https://maven.apache.org/) - Dependency Management
* [ROME](https://rometools.github.io/rome/) - Used to generate RSS Feeds

## Authors

* **Geoffrey Kasenbacher** - *Initial work* - [PurpleBooth](https://github.com/kgeoffrey)

## License

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

## Acknowledgments

* This is a spawn of the frustration caused by the R-Package leaps
* Tip my fedora to the ascii art creators


