/maximally_predictive_states

Code for reproducing the results of the preprint Maximally Predictive Ensemble Dynamics from Data (2021)

Primary LanguageJupyter NotebookCreative Commons Attribution 4.0 InternationalCC-BY-4.0

maximally_predictive_states

This repository contains the main scripts for the maximally predictive state space reconstruction and ensemble dynamics modelling presented in

Costa AC, Ahamed T, Jordan D, Stephens GJ "Maximally predictive states: from partial observations to long timescales" Chaos 2023

The data for reproducing the figures can be found in DOI

Any comments or questions, contact antoniocbscosta(at)gmail(dot)com. Also, suggestions to speed up the code are more than welcome!



The code is fully written in python3, and we use of the following packages:

  • h5py '3.0.0'
  • sklearn '0.23.1'
  • matplotlib '3.3.4'
  • msmtools '1.2.5'
  • scipy '1.3.1'
  • numpy '1.17.2'
  • joblib '0.13.2'
  • cython '0.29.23'
  • findiff '0.9.2'