fitting (pmrf.fitting)

Higher-level fitting utilities.

Provides high-level fitting interfaces that automatically delgate to specific solvers, currently either frequentist optimization (pmrf.optimize) or Bayesian inference (pmrf.infer).

Classes

FitResult(solution[, data, frequency])

Standardized return object for a fitting routines.

Functions

fit_minimize(model, data[, frequency, ...])	Fits an RF model to measured data using non-linear optimization.
fit_sample(model, data[, frequency, solver, ...])	Conditions an RF model on measured data using Bayesian sampling.
fit(model, data[, solver, frequency, features])	Fit a model to data using a variety of methods.
fit_sequential(model, data, *[, ...])	Sequentially fits sub-models using either optimization or sampling.
fit_joint(model, data, **kwargs)	(experimental) Jointly fits all sub-modules of a circuit using the same features with either optimization or sampling.