Release v23.12 · pybop-team/PyBOP

Features

#141 - Adds documentation with Sphinx and PyData Sphinx Theme. Updates docstrings across package, relocates costs and dataset to top-level of package. Adds noxfile session and deployment workflow for docs.
#131 - Adds SciPyDifferentialEvolution optimiser, adds functionality for user-selectable maximum iteration limit to SciPyMinimize, NLoptOptimize, and BaseOptimiser classes.
#107 - Adds Equivalent Circuit Model (ECM) with examples, Import/Export parameter methods ParameterSet.import_parameter and ParameterSet.export_parameters, updates default FittingProblem.signal definition to "Voltage [V]", and testing infrastructure
#127 - Adds Windows and macOS runners to the test_on_push action
#114 - Adds standard plotting class pybop.StandardPlot() via plotly backend
#114 - Adds quick_plot(), plot_convergence(), and plot_cost2d() methods
#114 - Adds a SciPy minimize example and logging for non-Pints optimisers
#116 - Adds PSO, SNES, XNES, ADAM, and IPropMin optimisers to PintsOptimisers() class
#38 - Restructures the Problem classes ahead of adding a design optimisation example
#120 - Updates the parameterisation test settings including the number of iterations
#145 - Reformats Dataset to contain a dictionary and signal into a list of strings

#38 - Restructures the Problem classes into FittingProblem and DesignProblem. FittingProblem replaces previous Problem class
#145 - Reformats Dataset class to contain a dictionary and signal into a list of strings.