Skip to content

Latest commit

 

History

History
32 lines (25 loc) · 853 Bytes

README.md

File metadata and controls

32 lines (25 loc) · 853 Bytes
Raw

abc_interact

Binder

A simple, interactive Approximate Bayesian Computation tutorial introduction in Python.

Getting started via Binder

  1. Click the "Launch Binder" button above
  2. Wait for the interactive notebook to launch
  3. Start learning by reading the notebook, and executing its cells

Getting started via source code

  1. Clone the repository with
git clone https://github.com/bmorris3/abc_interact.git
  1. Change directories into the repo
cd abc_interact
  1. Make sure you have the required packages installed
pip install -r requirements.txt
  1. Launch the notebook with the command
jupyter notebook

abc_interact only requires python 3, numpy, scipy, matplotlib and corner.