Codebase for Bayesian Ensembling Project

General structure is as follows:

• Source code is found in ensembles/
• Tutorial notebooks for using the code can be found in nbs/
• Experimental files in experiments/
• Unit test files in tests/

Getting started

Use the supplied environment.yml file to set up a local environment with the correct dependencies. We recommend using conda and the following commands

conda env create -f environment.yml
conda activate bayesian_ensembles

We make use of code not available on PyPi. To install this, please navigate towards each subdirectory within local_installs and run python setup.py develop or python setup.py install depending on if you are wishing to extend and develop this code yourself, or simply install it for personal use.

Finally, the code within this repository should be installed through python setup.py develop.

Validation

One can validate that their environment has been correctly set up by running make tests and ensuring that no errors are reported.