Python commentary on the Overview

Interpreted Python is a good way to do a fairly literal implementation of some of the set-theoretic statements in the Overview section of the paper. The AlignmentPy repository is an implementation of the model framework and practicable inducers. It is designed with the goal of theoretical correctness rather performance. In the links below, some of the sections of the Overview have been illustrated with a Python commentary using this repository. The intention is to provide both (a) code examples for the paper and (b) documentation for the code.

Notation

Maximum Entropy

States, histories and histograms

Entropy and alignment

Transforms

Transform entropy

Functional definition sets

Decompositions

There is a thread of Weather Forecast examples which demonstrate some of the concepts in the sections above,

States, histories and histograms

Entropy and alignment

Transforms

Transform entropy

Functional definition sets

Decompositions