Bayesian Decision Making
This folder contains the presentation about decision making with Bayesian methods for PyData Global 2020. The presentation is created from a Jupyter notebook by using RISE and is then served with Binder.
The libraries required to build the slides locally can be installed from the requirements file:
pip install -r requirements.txt
RISE allows to generate the slides from the Jupyter notebook editor itself with a single click:
nbconvert
To render slides use jupyter nbconvert foo.ipynb --to slides --post serve
The slides are served using the environment in arviz_sandbox for convenience and speed, see this post in Jupyter Discourse for a detailed description.
To generate the binder shield with the link to the presentations the following steps should be followed:
"livereveal": {"autolaunch": true}
. IfBinder
tab allows to specify
Git Environment Repository URL
: https://github.com/arviz-devs/arviz_sandbox
Git Content Repository URL
: https://github.com/arviz-devs/arviz_misc