Fast model fitting via Bayesian inference
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
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.
|Authors:||Rachel C. Kurchin and Giuseppe Romano|
|Version:||0.9.15 as of May 2019|
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