Skip to main content
Join the official 2019 Python Developers SurveyStart the survey!

Brute force, Exhaustive-Search for best R^2 in Linear Regression Models

Project description

Kiku

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 - The web framework used
  • Maven - Dependency Management
  • ROME - Used to generate RSS Feeds

Authors

License

This project is licensed under the MIT License - see the 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

Project details


Release history Release notifications

This version

0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for caveman-stats, version 0.1
Filename, size File type Python version Upload date Hashes
Filename, size caveman_stats-0.1-py3-none-any.whl (1.9 kB) File type Wheel Python version py3 Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page