https://github.com/hsm207/counterfactual_eval

Code to demo counterfactual evaluation on synthetic demo
https://github.com/hsm207/counterfactual_eval

ab-testing counterfactual-analysis python

Last synced: 6 months ago
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Code to demo counterfactual evaluation on synthetic demo

• Host: GitHub
• URL: https://github.com/hsm207/counterfactual_eval
• Owner: hsm207
• License: gpl-3.0
• Created: 2019-11-03T21:53:53.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-12-22T21:59:23.000Z (almost 6 years ago)
• Last Synced: 2025-02-10T05:25:39.887Z (8 months ago)
• Topics: ab-testing, counterfactual-analysis, python
• Language: Jupyter Notebook
• Homepage:
• Size: 1.3 MB
• Stars: 2
• Watchers: 3
• Forks: 0
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Introduction

This repository contains code to accompany my blog post titled [How To Use Counterfactual Evaluation To Estimate Online AB Test Results](https://medium.com/@_init_/how-to-use-counterfactual-evaluation-to-approximate-online-ab-test-results-a1f29d6963a1) on Medium.

# Prerequisites

The code was developed on `Ubuntu 18.04.3 LTS` using `Python 3.6.5 :: Anaconda, Inc`.

# Usage

Simply run  the [01_Simulation](./notebooks/01_Simulation.ipynb) notebook to reproduce the analyses presented in the 

blog post.

# Contributing

Feel free to raise an issue if you have any quetions, comments or feedback.