We have implemented new techniques for computing the weak formulation of SINDy, reducing the runtime by at least an order of magnitude. The "num_pts_per_domain" option in the weak formulation is now deprecated, and see the revamped Example 12 notebook for the new performance. This release also addresses Issues #155 #158 #159 #164. We have some minor fixes planned for the future, and hope to have a version of model.predict and model.simulate working for the weak formulation in the coming few months
What's Changed Added new mixed-integer optimization algorithm called MIOSR. Added new external unit ...
Automated data-driven modeling, the process of directly discovering the governing equations of a sys...
PySINDy now requires Scikit-learn version 0.23 instead of 0.21. There are also some minor bug fixes ...
This release allows for differentiation along specific axes, revamps the PDE-FIND and weak SINDy fun...
This release enables much easier cross-validation of SINDy models using Scikit-learn cross-validatio...
This release fixes a minor issue causing SINDy.simulate to fail when vectors of control inputs are p...
This release introduces the TrappingSINDy optimizer, which "enables the identification of models tha...
This version removes auxiliary data files needed only for examples to make PySINDy small enough to d...
What's Changed Added ParameterizedLibrary by @znicolaou in https://github.com/dynamicslab/pysindy/p...
This release introduces a wide range of new and advanced functionality for PySINDy users, which enab...
Example code for paper "Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and ...
The main update in this release is the addition of two objects meant to conform to the API for Sckit...
This release implements the SINDyDerivative class, which allows one to use differentiation methods f...
This release fixes a minor bug in the README file which prevented the previous release from being pr...
This release makes the SINDy.score function better conform to the call signature of metrics from skl...
What's Changed Added new mixed-integer optimization algorithm called MIOSR. Added new external unit ...
Automated data-driven modeling, the process of directly discovering the governing equations of a sys...
PySINDy now requires Scikit-learn version 0.23 instead of 0.21. There are also some minor bug fixes ...
This release allows for differentiation along specific axes, revamps the PDE-FIND and weak SINDy fun...
This release enables much easier cross-validation of SINDy models using Scikit-learn cross-validatio...
This release fixes a minor issue causing SINDy.simulate to fail when vectors of control inputs are p...
This release introduces the TrappingSINDy optimizer, which "enables the identification of models tha...
This version removes auxiliary data files needed only for examples to make PySINDy small enough to d...
What's Changed Added ParameterizedLibrary by @znicolaou in https://github.com/dynamicslab/pysindy/p...
This release introduces a wide range of new and advanced functionality for PySINDy users, which enab...
Example code for paper "Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and ...
The main update in this release is the addition of two objects meant to conform to the API for Sckit...
This release implements the SINDyDerivative class, which allows one to use differentiation methods f...
This release fixes a minor bug in the README file which prevented the previous release from being pr...
This release makes the SINDy.score function better conform to the call signature of metrics from skl...
What's Changed Added new mixed-integer optimization algorithm called MIOSR. Added new external unit ...
Automated data-driven modeling, the process of directly discovering the governing equations of a sys...
PySINDy now requires Scikit-learn version 0.23 instead of 0.21. There are also some minor bug fixes ...