Releases: Machine-Learning-Dynamical-Systems/kooplearn
Releases · Machine-Learning-Dynamical-Systems/kooplearn
Kooplearn Version 2.0
Introducing kooplearn 2.0
We are excited to present a comprehensive refresh of kooplearn, a Python library designed for the learning and analysis of Koopman and Transfer operators in dynamical systems. This release marks a significant evolution of the project, focusing on simpler API, better docs, and new methods for representation learning.
Starting from version 2.0, Kooplearn is now fully sklearn-compatible. Check the revamped documentation https://kooplearn.readthedocs.io/ for an extensive set of examples showing the usage of the new API.
Version 1.1.0
What's Changed
- Updated Contexts class by @g-turri in #6
- Add example for analyzing Ala2 with N-RRR by @Giodiro in #7
- Version 1.1.0b0 by @pietronvll in #8
New Contributors
Full Changelog: 1.0.6...1.1.0