Major upgrade to fit_circuit_parameters for more robust/accurate fits
#132
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… more robust and accurate ECM fits - Refactored the `fit_circuit_parameters` function in `utils.py` to use `scipy.optimize.least_squares` instead of `curve_fit` for fitting the circuit parameters. - Added new fitting methods: 'chi-squared', 'nyquist', 'bode', and 'magnitude' to compute the error based on different plots. - Updated the function signature and added new parameters for controlling the fitting process. - Improved the convergence criteria and added verbose option for printing fitting results.
…on recent API change
…ent objective functions: 'nyquist', 'bode', and 'chi-squared'
… "inference" objective functions
…re mag/phase are optimized instead of real/imag
… ndarray-like objects with float elements
…`eval_posterior_predictive`
…here WAIC is calculated using different inference objective functions
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