Jupyter environment made for Bayesian inference and graphical modeling.
It is based on Jupyter Notebook Data Science Stack and cdeck3r’s R docker image, provides the ability to perform analyses using R, Python and Julia. Pre-loaded with dozens of common data science packages. ✨
Additionally, it provides the following “standard” packages used for Bayesian inference:
Note: Plots of bayesian nets require you to use Google Chrome. It will not work within Firefox.
Spin up the container using the command
docker run -it --rm -p 8888:8888 leblancfg/jupyter-bayes:latest
For other startup options check out Jupyter Notebook Data Science Stack.
Bayesian inference is still a rapidly-moving field, and the popularity of its package ecosystem is evolving with time — what is cutting-edge now will almost certainly not be within a few years. Contributions are very welcome!