https://github.com/arose13/gmem

Generalised Mixed Effects Model. Now any machine learning model can have random effects.
https://github.com/arose13/gmem

data-science machine-learning mixed-effects-models

Last synced: 14 days ago
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Generalised Mixed Effects Model. Now any machine learning model can have random effects.

• Host: GitHub
• URL: https://github.com/arose13/gmem
• Owner: arose13
• Created: 2018-12-22T15:50:04.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-03-16T15:40:49.000Z (over 5 years ago)
• Last Synced: 2024-10-04T17:49:34.994Z (about 1 month ago)
• Topics: data-science, machine-learning, mixed-effects-models
• Language: Jupyter Notebook
• Homepage:
• Size: 581 KB
• Stars: 9
• Watchers: 3
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
GMEM

===============================

Author: Stephen Anthony Rose

Fork of MERF

Overview

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Random Effects models for _any ML model_.

This is a generalisation of a Mixed Effects Random Forest model

Installation / Usage

--------------------

To install use pip:

    $ pip install gmem

Or clone the repo:

    $ git clone https://github.com/arose13/gmem.git

    $ python setup.py install

    

Contributing

------------

Me (Stephen Anthony Rose)

Example

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To be announced.