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Bayes for anything!

Home Page: https://pv-lab.github.io/bayesim/_build/html/index.html

Python 100.00%

bayesim's Introduction

Description

The little home on the internet for our adaptive grid sampled Bayesian inference code. Check it out if you want to compute probability distributions over ~1-10 input parameters to a relatively computationally expensive (10's of core-seconds per evaluation) model.

More detailed documentation here.

Installation and Usage

Install using

pip install bayesim -r https://raw.githubusercontent.com/PV-Lab/bayesim/master/requirements.txt

The extra flag is to make sure you get the right version of deepdish.

Information

Authors:Rachel C. Kurchin and Giuseppe Romano
Version:0.9.15 as of May 2019

bayesim's People

Contributors

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