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Fast model fitting via Bayesian inference

Project description

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

Project details


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