initialize_priors

autoeis.utils.initialize_priors(p0: Mapping[str, float], variables: Iterable[str]) → dict[str, Distribution]

Initializes priors for a given circuit.

Parameters:

• p0 (Mapping[str, float]) – Initial guess for the circuit parameters as a dictionary of parameter names and values.

• variables (Iterable[str]) – List of variable names.

Returns:

Priors for the circuit parameters as a dictionary of parameter names and distributions.

Return type:

dict[str, Distribution]

Notes

This function assigns a uniform distribution for the exponent of CPE elements and a log-normal distribution for the rest of the parameters.