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).

Note that both fit and fit_sequential are re-exported directly under pmrf.

Classes

FitResult([data, frequency, solution, name])

Standardized return object for a fitting routines.

Functions

fit(model, data[, frequency, solver, features])	Fit a model to data using a variety of methods.
fit_sequential(model, data, *[, features, ...])	Sequentially fits sub-modules of a circuit using either optimization or sampling.
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.